Best Review Paper Award
Hans-Kristian Lorenzo
Hôpital Paul Brousse, France
Hans-Kristian Lorenzo is presented in this academic recognition profile in relation to the Best Review Paper Award at the Computational Biologists Awards. The supplied record identifies an affiliation with Hôpital Paul Brousse in France and a subject area in Systems Biology. Bibliographic indicators include 33 documents, 6,451 citations, and an h-index of 18. These indicators provide quantitative context for evaluating scholarly activity and visibility. [1]
Abstract
Hans-Kristian Lorenzo is profiled for consideration for the Best Review Paper Award within the Computational Biologists Awards. The supplied record identifies an affiliation with Hôpital Paul Brousse in France and a research area in Systems Biology. Bibliographic indicators include 33 documents, 6,451 citations, and an h-index of 18. These measures provide quantitative context for assessing scholarly visibility and research activity. The profile also records Scopus and ORCID identifiers, supporting researcher identification and bibliographic discovery. Award assessment may consider the nominated review paper’s evidence coverage, synthesis, methodological clarity, critical interpretation, originality, scientific relevance, and contribution to computational biology and systems-oriented research. [1]
Keywords
Best Review Paper Award; Hans-Kristian Lorenzo; Computational Biology; Systems Biology; Scientific Review; Research Recognition; Bibliometrics; Scholarly Impact; Hôpital Paul Brousse; Computational Biologists Awards.
Introduction
Review papers play an important role in organizing scientific evidence, identifying knowledge gaps, and establishing conceptual connections across research disciplines. In systems biology, review-based synthesis can integrate computational, biological, and quantitative perspectives for complex biological questions. [2] The Best Review Paper Award recognizes the importance of rigorous scholarly synthesis and its potential value to researchers and the wider scientific community.
Research Profile
Hans-Kristian Lorenzo is associated with Hôpital Paul Brousse in France and is identified within the supplied information under Systems Biology. The profile includes Scopus Author ID 6603882722 and ORCID 0000-0002-7921-177X, which support researcher disambiguation and bibliographic tracking. The supplied metrics report 33 documents, 6,451 citations, and an h-index of 18. [1]
Research Contributions
Research contributions in computational and systems biology frequently involve integrating findings from multiple biological and quantitative domains. A strong review contribution can organize dispersed evidence, identify methodological trends, evaluate competing interpretations, and establish directions for future investigation. For award assessment, the nominated work should therefore be examined for analytical depth, evidence quality, methodological transparency, originality, and scientific usefulness. [2]
Publications
The supplied Scopus information identifies 33 documents associated with Scopus Author ID 6603882722. A publication-level assessment should use the current indexed record and verified article metadata rather than infer publication titles or subjects. For the Best Review Paper Award, particular attention may be given to the nominated review’s literature coverage, organization, critical synthesis, methodological quality, and contribution to the understanding of systems biology and computational research. [1]
Research Impact
The supplied profile reports 6,451 citations and an h-index of 18, indicating notable bibliographic visibility within the provided record. Citation-based indicators can help contextualize research reach, but they should not independently determine scholarly quality. A balanced evaluation should also consider the intellectual contribution of the review, accuracy of synthesis, clarity of interpretation, relevance to current research, and influence on subsequent scientific work. [1]
Award Suitability
The supplied academic profile is relevant to consideration for a Best Review Paper Award because it identifies Systems Biology as the subject area and documents an established scholarly record. The final award decision should be based primarily on the nominated review paper, including its scientific rigor, synthesis of evidence, originality, relevance, methodological transparency, and contribution to computational biology. The researcher identifiers and bibliometric information provide supporting context for the recognition process. [1]
Conclusion
Hans-Kristian Lorenzo’s supplied profile presents a researcher affiliated with Hôpital Paul Brousse, France, with a Systems Biology subject classification and reported bibliographic indicators of 33 documents, 6,451 citations, and an h-index of 18. These data provide context for academic recognition, while assessment for the Best Review Paper Award should remain centered on the quality, originality, rigor, and scientific contribution of the nominated review work.
External Links
References
- Elsevier. (n.d.). Scopus author details: Hans-Kristian Lorenzo, Author ID 6603882722. Scopus.
https://www.scopus.com/pages/authors/6603882722
- Journal article. (2025). Small Nucleolar RNAs as Emerging Players in Cancer Biology and Precision Medicine.
https://doi.org/10.3390/cancers17233847
- Computational Biologists Awards. (2026). Official Award Website.
https://computationalbiologists.com/