Sudipa Sarkar

76 total papers · 1.6k total citations
36 papers, 634 citations indexed

About

Sudipa Sarkar is a scholar working on Endocrinology, Diabetes and Metabolism, Emergency Medicine and Surgery. According to data from OpenAlex, Sudipa Sarkar has authored 36 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Emergency Medicine and 10 papers in Surgery. Recurrent topics in Sudipa Sarkar's work include HIV-related health complications and treatments (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Diabetes Treatment and Management (8 papers). Sudipa Sarkar is often cited by papers focused on HIV-related health complications and treatments (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Diabetes Treatment and Management (8 papers). Sudipa Sarkar collaborates with scholars based in United States, India and China. Sudipa Sarkar's co-authors include Seth S. Martin, Rongzi Shan, Todd T. Brown, Thomas Donner, Rita R. Kalyani, Roger S. Blumenthal, Seamus P. Whelton, Francine K. Welty, Lyndsay N. Harris and Dorothy M. Davis and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Sudipa Sarkar

35 papers receiving 617 citations

Hit Papers

Digital health technology... 2019 2026 2021 2023 2019 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sudipa Sarkar 219 143 99 86 83 36 634
Angeliki M. Angelidi 161 0.7× 61 0.4× 97 1.0× 54 0.6× 112 1.3× 29 690
Ali Al Qarni 112 0.5× 106 0.7× 110 1.1× 41 0.5× 57 0.7× 58 689
Pandora L. Wander 159 0.7× 33 0.2× 94 0.9× 96 1.1× 88 1.1× 41 698
J. Lee 263 1.2× 67 0.5× 74 0.7× 62 0.7× 116 1.4× 18 778
Ewerton Cousin 101 0.5× 100 0.7× 57 0.6× 27 0.3× 63 0.8× 25 677
Zsigmond Kósa 83 0.4× 352 2.5× 58 0.6× 70 0.8× 45 0.5× 41 660
Daisuke Takada 122 0.6× 40 0.3× 86 0.9× 60 0.7× 138 1.7× 59 611
Jennifer Collins 48 0.2× 118 0.8× 102 1.0× 38 0.4× 88 1.1× 34 626
Manuel Ortega‐Calvo 102 0.5× 38 0.3× 63 0.6× 61 0.7× 87 1.0× 40 577
Alessandra Bertolotto 271 1.2× 35 0.2× 71 0.7× 76 0.9× 203 2.4× 36 705

Countries citing papers authored by Sudipa Sarkar

Since Specialization
Citations

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

Fields of papers citing papers by Sudipa Sarkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudipa Sarkar

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

All Works

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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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