Best Innovator Award
Saliha Rizvi
Era University, India
Saliha Rizvi is a researcher affiliated with Era University, India, whose academic profile is associated with the subject area of Systems Biology. The available bibliometric information records 44 documents, 1,071 citations, and an h-index of 11. These indicators provide a quantitative overview of research visibility and scholarly output and form part of the documented basis for considering the researcher for the Best Innovator Award at the Computational Biologists Awards. [1]
Abstract
Saliha Rizvi of Era University, India, is presented for recognition through the Best Innovator Award within the Computational Biologists Awards. Her documented academic profile identifies Systems Biology as a principal subject area and records 44 documents, 1,071 citations, and an h-index of 11. These bibliometric indicators provide measurable evidence of sustained scholarly activity and research visibility. The profile also includes a registered ORCID identifier and Scopus author record, supporting researcher identification across scholarly information systems. This article summarizes the available research profile, contributions, publication record, research impact, and suitability for innovation-oriented academic recognition based on documented information.
Keywords
Saliha Rizvi; Best Innovator Award; Computational Biology; Systems Biology; Era University; Research Innovation; Bibliometrics; Scientific Publications; Research Impact; Computational Biologists Awards.
Introduction
Systems Biology integrates computational, quantitative, and biological approaches to examine complex interactions within biological systems. Research in this area commonly depends on systematic analysis of data, models, and interconnected biological processes. Saliha Rizvi’s documented affiliation with Era University and subject-area classification in Systems Biology place her academic profile within this interdisciplinary research context. [1]
Research Profile
The available profile identifies Saliha Rizvi with Era University in India and associates her research record with Systems Biology. Scopus records 44 documents and 1,071 citations, with an h-index of 11. Together, these measures indicate a documented body of scholarly work and citation activity. The ORCID identifier 0000-0003-2191-7785 provides an additional persistent identifier for distinguishing the researcher within scholarly communication systems. [1]
Research Contributions
The documented contribution profile can be considered in relation to the research activity represented by 44 indexed documents and the broader Systems Biology subject area. These records suggest continued participation in scholarly research and dissemination. However, specific individual discoveries, datasets, computational methods, or named scientific findings are not supplied in the available profile and therefore are not attributed here without supporting publication-level evidence. [1]
Publications
The Scopus profile associated with author ID 7201786916 records 44 documents. This publication count provides a bibliometric measure of indexed scholarly output, although the supplied information does not identify individual article titles, journals, publication years, or article-level digital object identifiers. Consequently, this section describes the documented publication volume rather than attributing specific research findings to individual publications. [1]
Research Impact
The available bibliometric indicators show 1,071 citations and an h-index of 11. Citation counts can provide evidence of how frequently published work has been referenced within indexed scholarly literature, while the h-index combines publication and citation dimensions into a single metric. These measures should be interpreted alongside field, career stage, authorship, publication venue, and disciplinary practices when assessing overall research influence. [1]
Award Suitability
For the Best Innovator Award, the documented record provides several relevant indicators: an established institutional affiliation, a Systems Biology research classification, 44 indexed documents, 1,071 citations, and an h-index of 11. These measures demonstrate scholarly activity and visibility, while the award’s final assessment should additionally consider the originality, methodological significance, practical relevance, and demonstrable innovation of the candidate’s underlying research. [1]
Conclusion
Saliha Rizvi’s documented academic profile at Era University places her within the Systems Biology research domain and records a substantial indexed publication and citation footprint. The reported 44 documents, 1,071 citations, and h-index of 11 provide measurable indicators of scholarly activity and visibility. Within the Computational Biologists Awards, these documented characteristics provide a reasonable academic basis for consideration for the Best Innovator Award, subject to the award’s full evaluation criteria and verification procedures.
External Links
References
- Elsevier. (n.d.). Scopus author details: Saliha Rizvi, Author ID 7201786916. Scopus.
https://www.scopus.com/pages/authors/7201786916
- Journal article Genetic modifiers of epilepsy (2025.). A narrative review.
https://doi.org/10.1016/j.mcn.2025.104038
- Computational Biologists Awards. (2026. ). Computational Biologists Awards.
https://computationalbiologists.com/