Indra Neil Sarkar

3.9k total citations
135 papers, 2.7k citations indexed

About

Indra Neil Sarkar is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Indra Neil Sarkar has authored 135 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 27 papers in Genetics and 20 papers in Artificial Intelligence. Recurrent topics in Indra Neil Sarkar's work include Biomedical Text Mining and Ontologies (37 papers), Genomics and Phylogenetic Studies (21 papers) and Electronic Health Records Systems (15 papers). Indra Neil Sarkar is often cited by papers focused on Biomedical Text Mining and Ontologies (37 papers), Genomics and Phylogenetic Studies (21 papers) and Electronic Health Records Systems (15 papers). Indra Neil Sarkar collaborates with scholars based in United States, Egypt and Germany. Indra Neil Sarkar's co-authors include Rob DeSalle, Paul J. Planet, Bernd Schierwater, Elizabeth Chen, Robert DeSalle, Heike Hadrys, Genevieve B. Melton, Mark E. Siddall, William G. Tharp and David H. Figurski and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Indra Neil Sarkar

130 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Indra Neil Sarkar United States	28	1.2k	536	354	275	265	135	2.7k
Juan M. García‐Gómez Spain	23	1.7k 1.5×	502 0.9×	463 1.3×	251 0.9×	288 1.1×	107	5.0k
Ian Painter United States	18	665 0.6×	750 1.4×	242 0.7×	366 1.3×	134 0.5×	84	2.5k
James B. Munro United States	20	732 0.6×	319 0.6×	164 0.5×	467 1.7×	178 0.7×	33	1.8k
Chris Lauber Germany	26	1.2k 1.0×	362 0.7×	698 2.0×	121 0.4×	63 0.2×	55	8.3k
Tobias Sing Germany	18	1.2k 1.1×	325 0.6×	409 1.2×	95 0.3×	190 0.7×	30	3.6k
David Gómez-Cabrero Sweden	29	3.4k 2.9×	781 1.5×	150 0.4×	59 0.2×	135 0.5×	104	5.6k
Jie Cui China	38	1.9k 1.7×	501 0.9×	354 1.0×	354 1.3×	55 0.2×	153	9.3k
Dave Clements United States	11	2.7k 2.3×	519 1.0×	591 1.7×	115 0.4×	67 0.3×	22	4.5k
Nicola Mulder South Africa	34	4.4k 3.7×	848 1.6×	571 1.6×	174 0.6×	143 0.5×	159	6.8k
Hui Ye China	29	595 0.5×	189 0.4×	562 1.6×	124 0.5×	179 0.7×	238	2.8k

Countries citing papers authored by Indra Neil Sarkar

Since Specialization

Citations

This map shows the geographic impact of Indra Neil Sarkar'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 Indra Neil Sarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indra Neil Sarkar more than expected).

Fields of papers citing papers by Indra Neil Sarkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Indra Neil Sarkar. 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 Indra Neil Sarkar. The network helps show where Indra Neil Sarkar may publish in the future.

Co-authorship network of co-authors of Indra Neil Sarkar

This figure shows the co-authorship network connecting the top 25 collaborators of Indra Neil Sarkar. A scholar is included among the top collaborators of Indra Neil Sarkar 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 Indra Neil Sarkar. Indra Neil Sarkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Barker, Piers, Bernadette Richards, Indra Neil Sarkar, et al.. (2025). Sonographers as Teachers of Pediatric Echocardiography: A Cross-Sectional Needs Assessment among Four Academic Pediatric Cardiac Centers. Pediatric Cardiology.

Sarkar, Indra Neil, et al.. (2024). Augmenting bacterial similarity measures using a graph-based genome representation. mSystems. 9(7). e0049724–e0049724.

Sarkar, Indra Neil, et al.. (2022). GenBank as a source to monitor and analyze Host-Microbiome data. Bioinformatics. 38(17). 4172–4177. 2 indexed citations

Rogers, Brooke G., Alexi Almonte, Siena Napoleon, et al.. (2022). Statewide evaluation of COVID-19 vaccine hesitancy in Rhode Island. PLoS ONE. 17(6). e0268587–e0268587. 4 indexed citations

Maung, Cynthia, et al.. (2022). Access to community-based reproductive health services and incidence of low birthweight delivery among refugee and displaced mothers: a retrospective study in the Thailand-Myanmar border region. BMJ Open. 12(1). e052571–e052571. 1 indexed citations

Uzun, Ece D. Gamsiz, et al.. (2021). LYRUS: a machine learning model for predicting the pathogenicity of missense variants. Bioinformatics Advances. 2(1). vbab045–vbab045. 8 indexed citations

Bardenheier, Barbara H., Stefan Gravenstein, Carolyn Blackman, et al.. (2021). Adverse events following mRNA SARS-CoV-2 vaccination among U.S. nursing home residents. Vaccine. 39(29). 3844–3851. 41 indexed citations

Chen, Elizabeth, et al.. (2020). Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR. Journal of Vascular and Interventional Radiology. 31(6). 1018–1024.e4. 21 indexed citations

McGrath, Mary C., et al.. (2019). Web-Based Visualization of MeSH-Based PubMed/MEDLINE Statistics. Studies in health technology and informatics. 264. 1490–1491. 3 indexed citations

10.

Kimmel, Hannah J., et al.. (2018). Real-Time Emergency Department Electronic Notifications Regarding High-Risk Patients: A Systematic Review. Telemedicine Journal and e-Health. 25(7). 604–618. 6 indexed citations

11.

Sarkar, Indra Neil, et al.. (2017). Representation of Drug Use in Biomedical Standards, Clinical Text, and Research Measures.. PubMed. 2015. 376–85. 6 indexed citations

12.

Holmes, John, et al.. (2016). Identifying Complementary and Alternative Medicine Usage Information from Internet Resources. Methods of Information in Medicine. 55(4). 322–332. 24 indexed citations

13.

Hanley, John, Erin A. Jackson, L. A. Morrissey, et al.. (2015). Geospatial and Temporal Analysis of Thyroid Cancer Incidence in a Rural Population. Thyroid. 25(7). 812–822. 28 indexed citations

14.

Sarkar, Indra Neil. (2014). Methods in biomedical informatics : a pragmatic approach. Elsevier eBooks. 7 indexed citations

15.

Sarkar, Indra Neil, et al.. (2013). Leveraging biodiversity knowledge for potential phyto-therapeutic applications. Journal of the American Medical Informatics Association. 20(4). 668–679. 13 indexed citations

16.

Scotch, Matthew, et al.. (2010). At the Intersection of Public-health Informatics and Bioinformatics. Epidemiology. 21(6). 764–768. 12 indexed citations

17.

Chen, Elizabeth & Indra Neil Sarkar. (2009). MeSHing molecular sequences and clinical trials: A feasibility study. Journal of Biomedical Informatics. 43(3). 442–450. 4 indexed citations

18.

Sarkar, Indra Neil, et al.. (2009). LigerCat: using "MeSH Clouds" from journal, article, or gene citations to facilitate the identification of relevant biomedical literature.. Open Access Server of the Woods Hole Scientific Community (Woods Hole Scientific Community). 24 indexed citations

19.

Sarkar, Indra Neil, Michael Cantor, Rony Gelman, Frank W. Hartel, & Yves A. Lussier. (2003). Linking Biomedical Language Information and Knowledge Resources in the 21st Century: GO and UMLS. 427–450. 4 indexed citations

20.

Sarkar, Indra Neil, Paul J. Planet, Robert DeSalle, & David H. Figurski. (2001). Knowledge Aggregation from Organized Sets (KAOS) Applied to Clinical Data. Europe PMC (PubMed Central). 1020–1020. 1 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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