Hossein Barahoei | AI in Life Science Research | Editorial board member

Published on by Life Science

 

Editorial Board Member

Susanne Neufang
Affiliation University of Cologne
Country Germany
Scopus ID 8886159200
Documents 47
Citations 2,699
h-index 22
Subject Area AI in Life Science Research
Event World Life Science Awards

Susanne Neufang is identified in the supplied profile information with the University of Cologne in Germany. The provided bibliometric information lists 47 documents, 2,699 citations and an h-index of 22. Her stated subject area is artificial intelligence (AI) in life science research. These indicators offer a quantitative overview of the supplied research record and should be verified against the current author profile before publication.[1]

Abstract

This article presents a bibliometric overview of Susanne Neufang based on the researcher information supplied for the University of Cologne, Germany. The profile records 47 documents, 2,699 citations and an h-index of 22, with AI in life science research specified as the subject area. These indicators describe selected aspects of scholarly publication and citation activity; they do not independently establish research quality, originality or societal impact. The figures should be checked against the current bibliographic record before being used for formal evaluation.[1]

Keywords

  • Artificial intelligence in life science research
  • Bibliometrics
  • Research analytics
  • Scientific publications
  • Citation analysis
  • Life sciences
  • Research impact assessment

Introduction

Bibliometric profiles organize information about scholarly publications and their citation histories. Databases such as Scopus allow users to explore indexed research outputs and author-level indicators. However, author profiles may require careful verification because names can overlap, publications may be assigned incorrectly, and database coverage differs across disciplines and publishers.[1]

Research Profile

The supplied profile associates Susanne Neufang with the University of Cologne. Artificial intelligence in life science research is an interdisciplinary area in which computational methods may be applied to biological and biomedical data. Relevant applications across the broader field can include pattern recognition, predictive modelling, image analysis and data integration. The specific methods and topics associated with an individual researcher should be established through verified publications and institutional information.[2]

Research Contributions

Artificial intelligence in life science research involves computational techniques applied to biological, clinical and related scientific questions. Depending on the study design, AI methods may help identify patterns, analyze complex datasets, support image interpretation or develop predictive models. Scientific reliability depends on appropriate data, robust validation, transparent reporting and interpretation within the relevant biological or clinical context.

Publications

The supplied Scopus profile reports 47 documents associated with author identifier 8886159200. The author record can be used to review indexed publication titles, co-authors, source details and citation information.[1]

Research Impact

The supplied citation total of 2,699 and h-index of 22 provide a quantitative description of the indexed research record. Conventionally, an h-index of 22 means that at least 22 publications have each received at least 22 citations within the dataset used for calculation. The result depends on database coverage and the accuracy of publication-to-author assignments.[2]

Award Suitability

The World Life Science Awards is the event identified in the supplied information. The reported publication and citation indicators may serve as background information in a research recognition profile. However, these figures alone do not establish eligibility, nomination, selection or receipt of an award.

Conclusion

This article summarizes the supplied profile information for Susanne Neufang, associated with the University of Cologne in Germany. The reported research record comprises 47 documents, 2,699 citations and an h-index of 22, with AI in life science research identified as the subject area. These indicators provide a concise bibliometric overview, but current figures, researcher identity and publication records should be verified before publication. Further biographical details, specific research contributions and award-related statements require authoritative supporting sources.[3]

References

  1. Elsevier. (n.d.). Scopus author details: Susanne Neufang, Author ID 8886159200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=8886159200
  2. Brain texture alterations predict subtle visual perceptual dysfunctions in recent onset psychosis and clinical high-risk state. Translational Psychiatry, 16, Article 113.
    https://doi.org/10.1038/s41398-026-03840-x
  3. Toward a fair, gender-debiased classifier for the diagnosis of attention deficit/hyperactivity disorder: A machine-learning-based classification study. BMC Medical Informatics and Decision Making, 25, Article 290.
    https://doi.org/10.1186/s12911-025-03126-0

Hossein Barahoei | AI in Life Science Research | editorial board member

Published on by Life Science

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Editorial Board Member

Hossein Barahoei
Full Name Hossein Barahoei
Affiliation Research Institute of Zabol
Country Iran
Scopus ID 36863161700
Documents 34
Citations 360
h-index 11
Subject Area AI in Life Science Research
Event World Life Science Awards

Hossein Barahoei is identified in the supplied information as a researcher affiliated with the Research Institute of Zabol in Iran. His stated subject area is AI in Life Science Research, an interdisciplinary field that applies computational approaches to biological and biomedical research. The supplied bibliometric figures report 34 documents, 360 citations, and an h-index of 11. These figures should be verified against the researcher’s current bibliographic record before formal publication. [1]

Abstract

This article presents a research profile for Hossein Barahoei, affiliated with the Research Institute of Zabol in Iran, with a stated subject area of AI in Life Science Research. The profile summarizes the researcher information and bibliometric figures supplied for academic recognition purposes. The reported figures are 34 documents, 360 citations, and an h-index of 11. These indicators provide a quantitative snapshot of publication and citation activity but do not independently establish research quality, originality, or practical significance. The relationship between artificial intelligence and life sciences provides an interdisciplinary context for examining research contributions. Specific publications, verified projects, and documented editorial responsibilities should be consulted when evaluating the researcher’s work.

Keywords

Hossein Barahoei; Editorial Board Member; Research Institute of Zabol; Iran; Artificial Intelligence; AI in Life Science Research; Computational Biology; Biomedical Research; Research Metrics; Scientific Publications; Citation Analysis; World Life Science Awards.

Introduction

Artificial intelligence is increasingly applied in life science research to support complex data analysis, computational modelling, image interpretation, and the integration of biological information. Its use spans multiple disciplines, and the significance of individual contributions depends on the research question, methodology, validation, and reproducibility of the findings. [2]

Research Profile

The supplied Scopus profile link is included in the external resources section.while the profile URL contains author identifier 36863161700. Because these identifiers differ, the correct author record should be confirmed before this article is published as an authoritative biography. [1]

Research Contributions

AI-based life science research can involve computational methods for identifying patterns in biological data, supporting scientific prediction, and assisting researchers with complex analytical tasks. The reliability and usefulness of such methods depend on input data quality, appropriate evaluation procedures, independent validation, and transparent reporting. [2]

Publications

The supplied profile information reports 34 documents.DOI identifiers provide persistent links to registered scholarly works and assist with bibliographic verification. [3]

Research Impact

The supplied bibliometric summary reports 360 citations and an h-index of 11, alongside 34 documents. These values can help describe citation activity within the indexed record, but bibliometric measures are affected by database coverage, publication age, field-specific citation practices, co-authorship, and the date on which data are retrieved. The figures should therefore be treated as a snapshot rather than permanent values. [1]

Award Suitability

The World Life Science Awards provides the event context specified for this profile. The stated subject area of AI in Life Science Research may be relevant to recognition categories that consider computational approaches advancing life science research. Eligibility and suitability depend on the official category criteria, supporting evidence, and applicable evaluation process.

Conclusion

Hossein Barahoei is presented in the supplied information as a researcher affiliated with the Research Institute of Zabol in Iran, with a stated subject area of AI in Life Science Research. The provided bibliometric figures are 34 documents, 360 citations, and an h-index of 11. These details offer a starting point for a structured academic profile, but their accuracy and current status should be confirmed against the correct bibliographic record. Verification of publication details, research contributions, institutional affiliation, and editorial responsibilities is recommended before the article is used as an official biography or award-related profile.

References

  1. Elsevier. (n.d.). Scopus author details: Hossein Barahoei
    https://www.scopus.com/authid/detail.uri?authorId=36863161700
  2. An integrative study on Mesobuthus rakhshanii (Scorpiones: Buthidae). Biologia, 81(4).
    https://doi.org/10.1007/s11756-026-02170-z
  3. New species and faunal records of the scorpions of Nehbandan County, eastern Iran (Scorpiones: Buthidae). Journal of Natural History, 60(25–28), 1431–1446.
    https://doi.org/10.1080/00222933.2026.2673968

Susanne Neufang | AI in Life Science Research | Editorial Board Member

Published on by Life Science

Dr. Susanne Neufang | AI in Life Science Research | Editorial Board Member

University of Cologne | Germany

PD Dr. rer. nat. Susanne Neufang is a highly accomplished researcher with a strong record of scientific productivity and impact, demonstrated through 52 publications, including indexed and collaborative works across cognitive neuroscience, psychiatry, neuroimaging, and machine-learning–driven mental health research. Her contributions have earned a significant global footprint, reflected in a total citation count of 2,479 and an impressive h-index of 27, underscoring the consistent influence and recognition of her research within the scientific community. In addition, she holds an i10-index of 50, highlighting the breadth of her impactful publications that have gained substantial scholarly attention. Her work spans innovative areas such as functional and structural brain connectivity, developmental neuroimaging, executive function research, anxiety disorders, ADHD, and advanced machine-learning approaches through large international consortia including PRONIA and ENIGMA. The depth of her expertise is reflected in numerous high-quality articles addressing neurobiological mechanisms, biomarkers, and computational modeling across psychiatric and neurodevelopmental conditions. With a research trajectory enriched by interdisciplinary collaborations and substantial scientific contributions, she exemplifies a researcher whose publication metrics reflect both productivity and sustained scientific relevance in the fields of neuroscience, psychiatry, and data-driven mental health research.

Profile: Orcid 

Featured Publications

Kong, L., Yang, C., Neufang, S., Beyan, O. D., & Boukhers, Z.  EMORL: Ensemble multi-objective reinforcement learning for efficient and flexible LLM fine-tuning. arXiv.

Neuner, L. M., Weyer, C., Kambeitz-Ilankovic, L., Korda, A., Dwyer, D., Antonucci, L. A., Kambeitz, J., Upthegrove, R., Salokangas, R. K. R., Hietala, J., … Neufang, S. Decoding psychosis risk: Neuroanatomical correlates of the NAPLS-2 calculator in the PRONIA cohort. Schizophrenia Bulletin.

Neufang, S., Li, F., Akhrif, A., & Beyan, O. D. Toward a fair, gender-debiased classifier for the diagnosis of attention deficit/hyperactivity disorder: A machine-learning based classification study. BMC Medical Informatics and Decision Making.

Korda, A., Lencer, R., Sprenger, A., Meyhöfer, I., Dannlowski, U., Romer, G., Kambeitz-Ilankovic, L., Kambeitz, J., Lichtenstein, T., Rosen, M., … Neufang, S. Brain texture alterations predict subtle visual perceptual dysfunctions in recent-onset psychosis and clinical high-risk state [Preprint]. Research Square.

Buciuman, M. O., Haas, S. S., Antonucci, L. A., Sarisik, E., Khuntia, A., Lichtenstein, T., Rosen, M., Kambeitz, J., Pantelis, C., Lencer, R., … Neufang, S. From snapshots to stable outcomes: rs-fMRI-based prognosis of functioning in patients with psychosis risk or recent-onset depression. Biological Psychiatry.

Divya Udayan J | AI in Life Science Research | Best Researcher Award

Published on by Life Science

Dr. Divya Udayan J | AI in Life Science Research | Best Researcher Award

Amrita Vishwa Vidyapeetham | India

Dr. Divya Udayan J, Ph.D., currently serving as Assistant Professor (Sl.Gr) at the School of Computing, Amrita Vishwa Vidyapeetham, has established herself as a dynamic researcher in the fields of computer vision, robotics, machine learning, human–computer interaction, augmented and virtual reality, and geospatial technologies. She holds a Ph.D. in Internet and Multimedia Engineering from Konkuk University, South Korea, where she secured the highest, along with an M.Tech in Embedded Systems from Amrita University and a B.Tech in Information Technology from the University of Kerala. Dr. Divya’s research contributions have gained significant recognition globally. Her publications and projects span topics such as 3D procedural modeling, medical and cultural heritage visualizations, terrain fusion, and urban governance applications through CityGML. She has successfully led and collaborated on multiple funded projects supported by institutions in South Korea and India, and her innovative works have earned her accolades such as the IRDP Best Researcher & Innovation Award (2019), NVIDIA GPU and Intel research grants, and best paper awards at major international conferences. With her strong interdisciplinary expertise and impactful contributions, she continues to advance the boundaries of computing research.

Profiles: Scopus | Orcid

Featured Publications

Technological advances for digital twins in the metaverse for sustainable healthcare: A rapid review

Deep learning in monocular 3D human pose estimation: Systematic review of contemporary techniques and applications

Application of Unsupervised Learning in Detecting Behavioral Patterns in E-commerce Customers