Subhas Chakrabarty

2.0k citations
64 papers · 1.7k indexed · h-index 26

Impact in

Papers in

Subhas Chakrabarty

63 papers receiving 1.7k citations

Peers

Subhas Chakrabarty
Comparison fields: 5 of 96
  • Immunology and Allergy 252
  • Nephrology 216
  • Oncology 543
  • Pathology and Forensic Medicine 337
  • Cancer Research 275
Replace Donna N. Petersen with:
Donna N. Petersen United States
Andrew Chantry United Kingdom
Armelle A. Troussard Canada
Lida Guo United States
Chunping Yu China
Toshimitsu Suhara Japan
Kosuke Watari Japan
Wei Ji China
Maurizio Orlandini Italy
Sujata Persad Canada
Subhas Chakrabarty relative to Donna N. Petersen United States Donna N. Petersen's profile →
Citations per field
00.5×4.7×
Donna N. Petersen · 1×
Citations per year

Countries citing papers authored by Subhas Chakrabarty

Since Specialization
Citations

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

Fields of papers citing papers by Subhas Chakrabarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Subhas Chakrabarty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Subhas Chakrabarty Line = papers co-authored together Subhas Chakrabarty links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201312
2 201340
3 201125
4 200927
5 200814
6 20082
7 200758
8 200325
9 20011
10 20009
11 19998
12 199537
13 199237
14 19926
15 199237
16
Diverse cellular responses elicited from human colon carcinoma cells by transforming growth factor-beta.
198940
17 19899
18 198825
19 198819
20 198728

About Subhas Chakrabarty

Subhas Chakrabarty is a scholar working on Immunology and Allergy, Toxicology, Molecular Biology, Nephrology and Cancer Research, having authored 64 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (19 papers), TGF-β signaling in diseases (17 papers), Glycosylation and Glycoproteins Research (9 papers), Peptidase Inhibition and Analysis (7 papers), Wnt/β-catenin signaling in development and cancer (7 papers), Protease and Inhibitor Mechanisms (6 papers), Metabolism, Diabetes, and Cancer (6 papers) and Parathyroid Disorders and Treatments (5 papers). The work is most often cited by research in Immunology and Allergy (252 citations), Nephrology (216 citations), Oncology (543 citations), Pathology and Forensic Medicine (337 citations) and Cancer Research (275 citations). Subhas Chakrabarty has collaborated with scholars based in United States, Thailand and Australia. Frequent co-authors include James Varani, Shuang Huang, Guang‐Ming Liu, Michael G. Brattain, Henry D. Appelman, Venugopal Radjendirane, Hongmei Wang, Xin Hu, Navneet Singh and Sriram Rajagopal. Their work appears in journals such as International Journal of Cancer, Cancer Letters, Journal of Cellular Physiology, Molecular Carcinogenesis and Cell Calcium.

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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