Subhra Chakrabarti

11 total papers · 466 total citations
9 papers, 414 citations indexed

About

Subhra Chakrabarti is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Hematology. According to data from OpenAlex, Subhra Chakrabarti has authored 9 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Public Health, Environmental and Occupational Health and 2 papers in Hematology. Recurrent topics in Subhra Chakrabarti's work include Acute Lymphoblastic Leukemia research (3 papers), Ubiquitin and proteasome pathways (2 papers) and Cancer-related gene regulation (2 papers). Subhra Chakrabarti is often cited by papers focused on Acute Lymphoblastic Leukemia research (3 papers), Ubiquitin and proteasome pathways (2 papers) and Cancer-related gene regulation (2 papers). Subhra Chakrabarti collaborates with scholars based in United States and Australia. Subhra Chakrabarti's co-authors include Giuseppina Nucifora, Rashmi Sood, Suvobroto Nandi, Subhamoy Bhattacharya, Sanjoy K. Bhattacharya, Stefan K. Bohlander, Zhiyuan Shen, Surajit Ganguly, Marc Schiavone and Janet D. Rowley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Trends in biotechnology.

In The Last Decade

Subhra Chakrabarti

9 papers receiving 409 citations

Author Peers

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

Author						Papers	Cites
Subhra Chakrabarti	345	80	59	51	45	9	414
Yayun Zheng	369 1.1×	121 1.5×	30 0.5×	20 0.4×	33 0.7×	13	484
Sanja Sekulovic	187 0.5×	101 1.3×	52 0.9×	14 0.3×	16 0.4×	11	431
Ute Brassat	299 0.9×	51 0.6×	72 1.2×	23 0.5×	26 0.6×	8	467
Tatiana Gorletta	294 0.9×	54 0.7×	31 0.5×	32 0.6×	36 0.8×	12	468
Derek Bouman	229 0.7×	129 1.6×	71 1.2×	26 0.5×	22 0.5×	9	377
Sarah J. Moore	241 0.7×	52 0.7×	61 1.0×	25 0.5×	30 0.7×	15	383
Easwara Sadasivan	287 0.8×	49 0.6×	55 0.9×	37 0.7×	39 0.9×	13	432
Kathleen Cullion	230 0.7×	62 0.8×	56 0.9×	81 1.6×	9 0.2×	13	481
Harry Drabkin	314 0.9×	96 1.2×	91 1.5×	37 0.7×	50 1.1×	11	441
Renée M. Demarest	320 0.9×	51 0.6×	130 2.2×	74 1.5×	15 0.3×	8	480

Countries citing papers authored by Subhra Chakrabarti

Since Specialization

Citations

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

Fields of papers citing papers by Subhra Chakrabarti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhra Chakrabarti

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