Debopriya Das

1.2k total citations
10 papers, 694 citations indexed

About

Debopriya Das is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Debopriya Das has authored 10 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cell Biology and 1 paper in Surgery. Recurrent topics in Debopriya Das's work include Gene expression and cancer classification (4 papers), Genomics and Chromatin Dynamics (3 papers) and RNA modifications and cancer (2 papers). Debopriya Das is often cited by papers focused on Gene expression and cancer classification (4 papers), Genomics and Chromatin Dynamics (3 papers) and RNA modifications and cancer (2 papers). Debopriya Das collaborates with scholars based in United States, India and France. Debopriya Das's co-authors include Michael Q. Zhang, Zaher Nahlé, Joe W. Gray, Khalid Salaita, Rebecca S. Petit, Jay T. Groves, Richard M. Neve, Pradeep M. Nair, Nilanjana Banerjee and Michael Q. Zhang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Debopriya Das

10 papers receiving 683 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Debopriya Das United States	8	528	141	87	79	75	10	694
Natalie L. Prigozhina United States	13	511 1.0×	287 2.0×	92 1.1×	39 0.5×	35 0.5×	19	737
K.J. Carroll United States	5	372 0.7×	211 1.5×	63 0.7×	22 0.3×	34 0.5×	5	548
Jolanta Kordowska United States	12	407 0.8×	109 0.8×	35 0.4×	85 1.1×	48 0.6×	16	548
Iman van den Bout South Africa	12	700 1.3×	423 3.0×	44 0.5×	68 0.9×	64 0.9×	23	975
Astrid Kraemer Australia	10	607 1.1×	470 3.3×	49 0.6×	35 0.4×	40 0.5×	11	831
Ernesto Merino Spain	11	599 1.1×	244 1.7×	60 0.7×	76 1.0×	71 0.9×	13	1.0k
Melissa R. Sarantos United States	11	253 0.5×	98 0.7×	49 0.6×	49 0.6×	164 2.2×	15	676
James E. Bear United States	11	430 0.8×	134 1.0×	148 1.7×	52 0.7×	54 0.7×	17	801
Nobunari Sasaki Japan	10	380 0.7×	258 1.8×	33 0.4×	51 0.6×	44 0.6×	17	549
Tejeshwar C. Rao United States	12	228 0.4×	153 1.1×	66 0.8×	34 0.4×	53 0.7×	27	405

Countries citing papers authored by Debopriya Das

Since Specialization

Citations

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

Fields of papers citing papers by Debopriya Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debopriya Das

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

All Works

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10 of 10 papers shown

Das, Prasun, et al.. (2021). Diagnostic accuracy of transabdominal ultrasound in respect to transvaginal ultrasound in diagnosing ectopic pregnancy in a tertiary care hospital of Kolkata taking histopathology as gold standard: a prospective study. International Journal of Research in Medical Sciences. 9(7). 1965–1965. 1 indexed citations

Salaita, Khalid, Pradeep M. Nair, Rebecca S. Petit, et al.. (2010). Restriction of Receptor Movement Alters Cellular Response: Physical Force Sensing by EphA2. Science. 327(5971). 1380–1385. 277 indexed citations

Hu, Zhi, Wen‐Lin Kuo, Debopriya Das, et al.. (2009). Abstract #5572: Small molecular inhibitor of centromere-associated protein E (CENP-E), GSK923295A inhibits cell growth in breast cancer cells. Cancer Research. 69. 5572–5572. 1 indexed citations

Das, Debopriya, Matteo Pellegrini, & Joe W. Gray. (2009). A Primer on Regression Methods for Decoding cis-Regulatory Logic. PLoS Computational Biology. 5(1). e1000269–e1000269. 13 indexed citations

Nahlé, Zaher, Terri Pietka, Chris T. Coburn, et al.. (2008). CD36-dependent Regulation of Muscle FoxO1 and PDK4 in the PPARδ/β-mediated Adaptation to Metabolic Stress. Journal of Biological Chemistry. 283(21). 14317–14326. 106 indexed citations

Das, Debopriya, et al.. (2008). Regulation of the PDK4 Isozyme by the Rb-E2F1 Complex. Journal of Biological Chemistry. 283(41). 27410–27417. 90 indexed citations

Das, Debopriya, Tyson A. Clark, Anthony Schweitzer, et al.. (2007). A correlation with exon expression approach to identify cis-regulatory elements for tissue-specific alternative splicing. Nucleic Acids Research. 35(14). 4845–4857. 69 indexed citations

Das, Debopriya & Michael Q. Zhang. (2007). Predictive models of gene regulation: application of regression methods to microarray data.. PubMed. 377. 95–110. 8 indexed citations

Das, Debopriya, Zaher Nahlé, & Michael Q. Zhang. (2006). Adaptively inferring human transcriptional subnetworks. Molecular Systems Biology. 2(1). 2006.0029–2006.0029. 46 indexed citations

10.

Das, Debopriya, Nilanjana Banerjee, & Michael Q. Zhang. (2004). Interacting models of cooperative gene regulation. Proceedings of the National Academy of Sciences. 101(46). 16234–16239. 83 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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