Somalee Datta

794 total citations
11 papers, 417 citations indexed

About

Somalee Datta is a scholar working on Molecular Biology, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Somalee Datta has authored 11 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Environmental Engineering. Recurrent topics in Somalee Datta's work include Groundwater flow and contamination studies (3 papers), Enhanced Oil Recovery Techniques (2 papers) and Genomics and Rare Diseases (2 papers). Somalee Datta is often cited by papers focused on Groundwater flow and contamination studies (3 papers), Enhanced Oil Recovery Techniques (2 papers) and Genomics and Rare Diseases (2 papers). Somalee Datta collaborates with scholars based in United States, Switzerland and Canada. Somalee Datta's co-authors include S. Redner, M Snyder, Tracey McLaughlin, Denis Salins, Jessilyn Dunn, Sophia Miryam Schüssler‐Fiorenza Rose, Dalia Perelman, Ryan Runge, Xiao Li and Gao Zhou and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Nature Biotechnology.

In The Last Decade

Somalee Datta

11 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Somalee Datta United States	8	87	57	43	41	38	11	417
Shimin Hu China	15	65 0.7×	56 1.0×	18 0.4×	35 0.9×	24 0.6×	52	633
Denis Salins United States	2	75 0.9×	32 0.6×	44 1.0×	40 1.0×	36 0.9×	2	291
Neli Regina Siqueira Ortega Brazil	15	65 0.7×	20 0.4×	10 0.2×	33 0.8×	18 0.5×	39	631
Matthew Lee United States	11	53 0.6×	82 1.4×	38 0.9×	31 0.8×	25 0.7×	39	1.1k
Tatjana Lončar-Turukalo Serbia	13	84 1.0×	55 1.0×	120 2.8×	30 0.7×	8 0.2×	50	618
Maryann D’Alessandro United States	10	34 0.4×	104 1.8×	53 1.2×	5 0.1×	12 0.3×	20	1.1k
Shannon Rego United States	12	78 0.9×	130 2.3×	72 1.7×	54 1.3×	137 3.6×	25	536
Giacomo Cappon Italy	14	191 2.2×	76 1.3×	79 1.8×	48 1.2×	294 7.7×	50	1.1k
Daniel Sabanés Bové Switzerland	13	20 0.2×	40 0.7×	17 0.4×	35 0.9×	24 0.6×	25	539

Countries citing papers authored by Somalee Datta

Since Specialization

Citations

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

Fields of papers citing papers by Somalee Datta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Somalee Datta. 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 Somalee Datta. The network helps show where Somalee Datta may publish in the future.

Co-authorship network of co-authors of Somalee Datta

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

All Works

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11 of 11 papers shown

Langlotz, Curtis P., Johanna Inhyang Kim, Nigam H. Shah, et al.. (2024). Developing a Research Center for Artificial Intelligence in Medicine. SHILAP Revista de lepidopterología. 2(4). 677–686. 2 indexed citations

Callahan, Alison, Euan A. Ashley, Somalee Datta, et al.. (2023). The Stanford Medicine data science ecosystem for clinical and translational research. JAMIA Open. 6(3). ooad054–ooad054. 17 indexed citations

Krishnan, Vandhana, et al.. (2021). Benchmarking workflows to assess performance and suitability of germline variant calling pipelines in clinical diagnostic assays. BMC Bioinformatics. 22(1). 85–85. 7 indexed citations

Pan, Cuiping, Gregory McInnes, Nicole Deflaux, et al.. (2017). Cloud-based interactive analytics for terabytes of genomic variants data. Bioinformatics. 33(23). 3709–3715. 8 indexed citations

Li, Xiao, Jessilyn Dunn, Denis Salins, et al.. (2017). Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information. PLoS Biology. 15(1). e2001402–e2001402. 268 indexed citations

Datta, Somalee, Keith Bettinger, & M Snyder. (2016). Secure cloud computing for genomic data. Nature Biotechnology. 34(6). 588–591. 20 indexed citations

Dewey, Frederick E., Megan E. Grove, James R. Priest, et al.. (2015). Sequence to Medical Phenotypes: A Framework for Interpretation of Human Whole Genome DNA Sequence Data. PLoS Genetics. 11(10). e1005496–e1005496. 13 indexed citations

Redner, S. & Somalee Datta. (2000). Clogging Time of a Filter. Physical Review Letters. 84(26). 6018–6021. 40 indexed citations

Datta, Somalee & S. Redner. (1998). Gradient clogging in depth filtration. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 58(2). R1203–R1206. 30 indexed citations

10.

Datta, Somalee & Sidney Redner. (1998). Gradient and Percolative Clogging in Depth Filtration. International Journal of Modern Physics C. 9(8). 1535–1543. 11 indexed citations

11.

Datta, Somalee. (1965). Points from Letters: Mantoux Testing in Immigrants. BMJ. 1(5440). 1002–1002. 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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