Varuni Sarwal

675 total citations
9 papers, 77 citations indexed

About

Varuni Sarwal is a scholar working on Molecular Biology, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Varuni Sarwal has authored 9 papers receiving a total of 77 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Artificial Intelligence and 2 papers in Health Information Management. Recurrent topics in Varuni Sarwal's work include Genomics and Phylogenetic Studies (3 papers), Artificial Intelligence in Healthcare (2 papers) and Machine Learning in Healthcare (2 papers). Varuni Sarwal is often cited by papers focused on Genomics and Phylogenetic Studies (3 papers), Artificial Intelligence in Healthcare (2 papers) and Machine Learning in Healthcare (2 papers). Varuni Sarwal collaborates with scholars based in United States, India and Switzerland. Varuni Sarwal's co-authors include Jonathan Flint, Russell Littman, Eleazar Eskin, Thiago Mosqueiro, Ran Blekhman, Richard J. Abdill, Dat Duong, Gargi Dayama, Brian L. Hill and Laura Grieneisen and has published in prestigious journals such as Nature Protocols, PLoS Biology and Journal of Medical Internet Research.

In The Last Decade

Varuni Sarwal

7 papers receiving 75 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Varuni Sarwal United States 4 60 19 14 12 8 9 77
Jennifer A. Cham United Kingdom 5 100 1.7× 15 0.8× 9 0.6× 9 0.8× 3 0.4× 5 141
Sven Fillinger Germany 5 47 0.8× 16 0.8× 7 0.5× 10 0.8× 4 0.5× 6 86
Juris Vīksna Latvia 6 92 1.5× 15 0.8× 12 0.9× 6 0.5× 5 0.6× 17 107
Camille Scott United States 4 39 0.7× 14 0.7× 5 0.4× 13 1.1× 6 0.8× 6 75
Guy Coates United Kingdom 3 50 0.8× 15 0.8× 8 0.6× 11 0.9× 4 0.5× 4 68
Ahmad Zyoud United Kingdom 3 73 1.2× 17 0.9× 11 0.8× 11 0.9× 5 0.6× 4 106
Matthew Roberts United Kingdom 2 47 0.8× 17 0.9× 4 0.3× 11 0.9× 4 0.5× 2 74
Magali Ruffier United Kingdom 2 107 1.8× 7 0.4× 40 2.9× 6 0.5× 6 0.8× 2 141
Tom Gillespie United States 6 30 0.5× 15 0.8× 2 0.1× 17 1.4× 10 1.3× 10 71
Mamana Mbiyavanga South Africa 5 49 0.8× 4 0.2× 23 1.6× 5 0.4× 8 1.0× 11 81

Countries citing papers authored by Varuni Sarwal

Since Specialization
Citations

This map shows the geographic impact of Varuni Sarwal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Varuni Sarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Varuni Sarwal more than expected).

Fields of papers citing papers by Varuni Sarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Varuni Sarwal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Varuni Sarwal. The network helps show where Varuni Sarwal may publish in the future.

Co-authorship network of co-authors of Varuni Sarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Varuni Sarwal. A scholar is included among the top collaborators of Varuni Sarwal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Varuni Sarwal. Varuni Sarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Sarwal, Varuni, et al.. (2025). Machine learning for the prediction of urosepsis using electronic health record data. PLOS Digital Health. 4(7). e0000896–e0000896.
2.
Sarwal, Varuni, et al.. (2024). Generative AI Models in Time-Varying Biomedical Data: Scoping Review. Journal of Medical Internet Research. 27. e59792–e59792. 4 indexed citations
3.
Sarwal, Varuni, et al.. (2024). Generative AI Models in Time-Varying Biomedical Data: Scoping Review (Preprint). 1 indexed citations
4.
Alser, Mohammed, Richard J. Abdill, Nathan LaPierre, et al.. (2024). Packaging and containerization of computational methods. Nature Protocols. 19(9). 2529–2539. 7 indexed citations
5.
Sarwal, Varuni, et al.. (2024). VISTA: an integrated framework for structural variant discovery. Briefings in Bioinformatics. 25(5).
6.
Sarwal, Varuni, Jaqueline Brito, Serghei Mangul, & David Koslicki. (2022). TAMPA: interpretable analysis and visualization of metagenomics-based taxon abundance profiles. GigaScience. 12. 1 indexed citations
7.
Sarwal, Varuni, Sebastian Niehus, Minyoung Kim, et al.. (2022). A comprehensive benchmarking of WGS-based deletion structural variant callers. Briefings in Bioinformatics. 23(4). 17 indexed citations
8.
Sarwal, Varuni, et al.. (2021). Integrating big data computational skills in education to facilitate reproducibility and transparency in pharmaceutical sciences. JACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY. 4(10). 1263–1266. 1 indexed citations
9.
Mosqueiro, Thiago, Richard J. Abdill, Dat Duong, et al.. (2019). Challenges and recommendations to improve the installability and archival stability of omics computational tools. PLoS Biology. 17(6). e3000333–e3000333. 46 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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