Innovative Research Award
Maksim Kukushkin is a researcher affiliated with Pirogov Russian National Research Medical University, Russia, whose scholarly profile is associated with the subject area of Bioinformatics. The researcher record supplied for this academic recognition page reports 19 documents, 123 citations, and an h-index of 7 in Scopus. [1]
This page presents an academic recognition profile prepared for consideration in the Innovative Research Award category associated with Global Network Awards. It summarizes the supplied bibliometric information, the research domain of bioinformatics, the potential relevance of the research profile to innovation-oriented recognition, and supporting scholarly resources. Bibliometric indicators are presented as supplied and may change as indexing databases are updated. [1]
Abstract
Maksim Kukushkin is presented for academic recognition under the Innovative Research Award category, with bioinformatics identified as the principal subject area in the supplied researcher information. The available profile reports an affiliation with Pirogov Russian National Research Medical University in Russia and a Scopus record containing 19 documents, 123 citations, and an h-index of 7. [1] These indicators provide a quantitative view of indexed scholarly activity and can be considered alongside the originality, methodological quality, relevance, reproducibility, and potential application of individual research contributions when assessing innovation.
Keywords
Bioinformatics; computational biology; biomedical data analysis; biological data integration; research innovation; computational methods; biomedical research; scientific impact; scholarly communication; Global Network Awards.
Introduction
Bioinformatics combines biological sciences, computational methods, statistics, and information technologies to support the analysis and interpretation of complex biological information. The discipline has become an important component of contemporary biomedical research because computational approaches can facilitate the organization, analysis, comparison, and interpretation of large and heterogeneous datasets. [2]
Within this context, research recognition can consider both measurable scholarly outputs and the substantive qualities of a researcher’s work. Bibliometric indicators such as document counts, citation counts, and h-index values may provide useful contextual evidence, but they do not independently establish scientific quality or innovation. A balanced academic assessment should therefore consider the underlying publications, methods, research questions, validation, reproducibility, and contribution to the field. [3]
Research Profile
The supplied academic record identifies Maksim Kukushkin with Pirogov Russian National Research Medical University and associates the research profile with Bioinformatics. The reported Scopus Author ID is 57200437364. According to the supplied metrics, the indexed record contains 19 documents, 123 citations, and an h-index of 7. [1]
- Research domain: Bioinformatics and computational approaches relevant to biomedical research.
- Institutional affiliation: Pirogov Russian National Research Medical University.
- Country: Russia.
- Scopus documents: 19, based on the supplied profile information.
- Scopus citations: 123, based on the supplied profile information.
- h-index: 7, based on the supplied profile information.
Research Contributions
The available input identifies Bioinformatics as the principal subject area but does not provide a verified publication-by-publication description of specific research projects, methods, datasets, or discoveries. Accordingly, individual contributions should be evaluated directly from the researcher’s indexed publications and associated scholarly records rather than inferred solely from bibliometric indicators.
For an innovation-focused academic assessment, relevant contributions may include the development or application of computational methods, analytical workflows, biological data integration strategies, reproducible research practices, or computational approaches that address significant biomedical research questions. Such contributions are most appropriately assessed through documented scholarly outputs and independent evidence.
Publications
The supplied information reports 19 indexed documents in Scopus. [1] A complete publication bibliography has not been supplied with the source material for this page; therefore, specific article titles, journals, publication years, authorship positions, and DOI identifiers are not reproduced here without independent verification.
The Scopus Author Profile provides the appropriate source for reviewing the indexed document record and associated bibliometric information. Researchers and evaluators should consult the current database record when assessing the publication portfolio because bibliographic databases can be updated over time.
Research Impact
The supplied Scopus metrics indicate 123 citations across 19 documents and an h-index of 7. [1] Citation indicators can provide evidence of scholarly visibility and subsequent use of published work, although citation practices differ substantially between disciplines, publication types, research communities, and periods of activity. [3]
In bioinformatics, research impact may also be demonstrated through methodological adoption, reproducible computational resources, data reuse, interdisciplinary collaboration, clinical or biological relevance, and contribution to subsequent scientific studies. These dimensions should complement bibliometric evidence when a comprehensive assessment of research impact is undertaken.
Award Suitability
The supplied profile is relevant to an Innovative Research Award consideration because it identifies an established scholarly record in Bioinformatics and provides measurable evidence of indexed research activity. The reported 19 documents, 123 citations, and h-index of 7 can serve as supporting bibliometric information for an evaluation, subject to verification against the current Scopus record. [1]
A rigorous award assessment may consider the following dimensions:
- Originality: The extent to which the research introduces new questions, methods, interpretations, or applications.
- Scientific quality: The methodological soundness, evidence base, validation, and clarity of the research.
- Research significance: The relevance of the work to bioinformatics and associated biomedical research communities.
- Scholarly impact: Evidence including citations, publication record, and documented influence on subsequent research.
- Innovation potential: The extent to which research outcomes offer useful computational, analytical, or interdisciplinary advances.
- Reproducibility and transparency: Availability of sufficient methodological information, data, software, or other materials where appropriate.
Final award decisions should be based on the complete nomination materials and the evaluation procedures established by Global Network Awards. The profile information presented on this page should be regarded as supporting academic context rather than as an independent determination of award outcome.
Conclusion
Maksim Kukushkin’s supplied academic profile places the researcher within the field of Bioinformatics and identifies Pirogov Russian National Research Medical University as the institutional affiliation. The reported Scopus record of 19 documents, 123 citations, and an h-index of 7 provides a quantitative foundation for scholarly profile assessment. [1] For consideration under the Innovative Research Award, these indicators are most appropriately evaluated together with the originality, scientific rigor, relevance, documented research contributions, and broader impact of the underlying work.
External Links
References
- Elsevier. (n.d.). Scopus author details: Maksim Kukushkin, Author ID 57200437364. Scopus.
https://www.scopus.com/pages/authors/57200437364
- National Center for Biotechnology Information. (n.d.). Bioinformatics resources and computational biology information. National Library of Medicine.
- Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572.
https://doi.org/10.1073/pnas.0507655102