Bipasha Chakrabarty

49 total papers · 812 total citations
25 papers, 509 citations indexed

About

Bipasha Chakrabarty is a scholar working on Surgery, Epidemiology and Oncology. According to data from OpenAlex, Bipasha Chakrabarty has authored 25 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 10 papers in Epidemiology and 8 papers in Oncology. Recurrent topics in Bipasha Chakrabarty's work include Intraperitoneal and Appendiceal Malignancies (12 papers), Neuroendocrine Tumor Research Advances (9 papers) and Ovarian cancer diagnosis and treatment (8 papers). Bipasha Chakrabarty is often cited by papers focused on Intraperitoneal and Appendiceal Malignancies (12 papers), Neuroendocrine Tumor Research Advances (9 papers) and Ovarian cancer diagnosis and treatment (8 papers). Bipasha Chakrabarty collaborates with scholars based in United Kingdom, Italy and Australia. Bipasha Chakrabarty's co-authors include Juan W. Valle, Ángela Lamarca, Andrew G. Renehan, Richard Hubner, Sarah O’Dwyer, Paul Fulford, Mairéad G. McNamara, Malcolm Wilson, Melissa Frizziero and Bence Nagy and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Annals of Oncology.

In The Last Decade

Bipasha Chakrabarty

23 papers receiving 501 citations

Author Peers

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

Author						Papers	Cites
Bipasha Chakrabarty	297	246	210	166	163	25	509
Panagiotis Drymousis	163 0.5×	332 1.3×	291 1.4×	30 0.2×	55 0.3×	18	454
Arun Mavanur	345 1.2×	79 0.3×	85 0.4×	114 0.7×	110 0.7×	32	477
Mehdi Kebria	206 0.7×	89 0.4×	96 0.5×	21 0.1×	180 1.1×	25	568
D. Elias	269 0.9×	111 0.5×	212 1.0×	55 0.3×	42 0.3×	20	498
Lee Alexander Grant	253 0.9×	110 0.4×	95 0.5×	27 0.2×	77 0.5×	29	490
Ángela Casado-Adam	464 1.6×	39 0.2×	90 0.4×	257 1.5×	219 1.3×	30	572
Sugarbaker Ph	373 1.3×	40 0.2×	174 0.8×	124 0.7×	114 0.7×	26	521
Oskar Kornasiewicz	212 0.7×	207 0.8×	184 0.9×	21 0.1×	23 0.1×	37	551
Russell S. Boles	329 1.1×	33 0.1×	121 0.6×	65 0.4×	23 0.1×	24	495
A. Garofalo	468 1.6×	40 0.2×	57 0.3×	260 1.6×	186 1.1×	24	551

Countries citing papers authored by Bipasha Chakrabarty

Since Specialization

Citations

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

Fields of papers citing papers by Bipasha Chakrabarty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bipasha Chakrabarty

This figure shows the co-authorship network connecting the top 25 collaborators of Bipasha Chakrabarty. A scholar is included among the top collaborators of Bipasha Chakrabarty 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 Bipasha Chakrabarty. Bipasha Chakrabarty 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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