Jayati Chakrabarti
- Oncology top 5%
- Molecular Biology
- Surgery top 10%
- Immunology top 10%
- Cancer Research top 10%
- Co-authors
- Amitava ChatterjeeAparna MitraYana ZavrosLoryn HolokaiNina G. SteeleMichael A. HelmrathDanuta H. MalinowskaJohn Cuppoletti
- Topics
- Cancer Cells and Metastasis (11 papers)Cancer Immunotherapy and Biomarkers (10 papers)Protease and Inhibitor Mechanisms (9 papers)
- Journals
- GastroenterologyCancer ResearchGut
- Partner nations
- United StatesIndiaChina
In The Last Decade
Jayati Chakrabarti
63 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 115
- Oncology 600
- Molecular Biology 508
- Surgery 300
- Immunology 299
- Cancer Research 279
Countries citing papers authored by Jayati Chakrabarti
This map shows the geographic impact of Jayati 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 Jayati Chakrabarti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayati Chakrabarti more than expected).
Fields of papers citing papers by Jayati Chakrabarti
This network shows the impact of papers produced by Jayati 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 Jayati Chakrabarti. The network helps show where Jayati Chakrabarti may publish in the future.
Co-authorship network of co-authors of Jayati Chakrabarti
This figure shows the co-authorship network connecting the top 25 collaborators of Jayati Chakrabarti. A scholar is included among the top collaborators of Jayati 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 Jayati Chakrabarti. Jayati Chakrabarti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 12 | |
| 3 | 54 | |
| 4 | 37 | |
| 5 | 49 | |
| 6 | 17 | |
| 7 | 3 | |
| 8 | 84 | |
| 9 | 47 | |
| 10 | 30 | |
| 11 | 28 | |
| 12 | Unoprostone Isopropyl and Its Primary Metabolite M1 Activate BK and ClC-2 Channels and Prevent ET-1-Induced Smooth Muscle Effects | 2 |
| 13 | 32 | |
| 14 | 22 | |
| 15 | 4 | |
| 16 | 27 | |
| 17 | 10 | |
| 18 | 10 | |
| 19 | 5 | |
| 20 | Indication of the sex chromosome pair bearing Ag-NORs in a brackish water fish, Scatophagus argus showing male heterogamety | 2 |
About Jayati Chakrabarti
Jayati Chakrabarti is a scholar working on Immunology and Allergy, Complementary and Manual Therapy and Oncology, having authored 63 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (11 papers), Cancer Immunotherapy and Biomarkers (10 papers) and Protease and Inhibitor Mechanisms (9 papers). The work is most often cited by research in Oncology (600 citations), Gastroenterology (115 citations) and Cancer Research (279 citations). Jayati Chakrabarti has collaborated with scholars based in United States, India and China. Frequent co-authors include Amitava Chatterjee, Aparna Mitra, Yana Zavros, Loryn Holokai, Nina G. Steele, Michael A. Helmrath, Danuta H. Malinowska, John Cuppoletti, Yana Zavros and Julie Chang. Their work appears in journals such as Gastroenterology, Cancer Research and Gut.
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.