Sushanta K. Banerjee
- Cancer Research top 5%
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research 6
- Molecular Biology top 5%
- Connective Tissue Growth Factor Research 29
- Angiogenesis and VEGF in Cancer 13
- Hedgehog Signaling Pathway Studies 7
- Immunology top 10%
- Biomarkers in Disease Mechanisms 12
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- Estrogen and related hormone effects 9
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- Reproductive Health and Contraception 6
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- Global Maternal and Child Health 6
- Co-authors
- Snigdha BanerjeeInamul HaqueK. SenguptaPeter J. Van VeldhuizenKakali DharSmita MehtaNeela K. SaxenaGopal Dhar
- Journals
- Cancer Research (12 papers)Journal of Cell Communication and Signaling (10 papers)Journal of Biological Chemistry (5 papers)
- Partner nations
- United StatesIndiaPuerto Rico
In The Last Decade
Sushanta K. Banerjee
96 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 140
- Cancer Research 497
- Oncology 697
- Molecular Biology 1.7k
- Immunology 324
- Complementary and alternative medicine 118
Countries citing papers authored by Sushanta K. Banerjee
This map shows the geographic impact of Sushanta K. Banerjee'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 Sushanta K. Banerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushanta K. Banerjee more than expected).
Fields of papers citing papers by Sushanta K. Banerjee
This network shows the impact of papers produced by Sushanta K. Banerjee. 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 Sushanta K. Banerjee. The network helps show where Sushanta K. Banerjee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sushanta K. Banerjee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2020 | 27 | |
| 3 | 2019 | 30 | |
| 4 | 2019 | 19 | |
| 5 | 2019 | 35 | |
| 6 | 2018 | 23 | |
| 7 | 2017 | 1 | |
| 8 | 2017 | 7 | |
| 9 | 2015 | 22 | |
| 10 | 2013 | 22 | |
| 11 | 2013 | 65 | |
| 12 | 2011 | 65 | |
| 13 | 2011 | 25 | |
| 14 | 2010 | 10 | |
| 15 | 2008 | 53 | |
| 16 | 2007 | 18 | |
| 17 | 2006 | 74 | |
| 18 | 2003 | 33 | |
| 19 | 2001 | 1 | |
| 20 | 1997 | 102 |
About Sushanta K. Banerjee
Sushanta K. Banerjee is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Complementary and alternative medicine, having authored 98 papers that have together received 3.1k indexed citations. Recurring topics across this work include Connective Tissue Growth Factor Research (29 papers), Angiogenesis and VEGF in Cancer (13 papers), Biomarkers in Disease Mechanisms (12 papers), Estrogen and related hormone effects (9 papers), Hedgehog Signaling Pathway Studies (7 papers), Pancreatic and Hepatic Oncology Research (6 papers), Reproductive Health and Contraception (6 papers) and Global Maternal and Child Health (6 papers). The work is most often cited by research in Cancer Research (497 citations), Oncology (697 citations), Molecular Biology (1.7k citations), Immunology (324 citations) and Complementary and alternative medicine (118 citations). Sushanta K. Banerjee has collaborated with scholars based in United States, India and Puerto Rico. Frequent co-authors include Snigdha Banerjee, Inamul Haque, K. Sengupta, Peter J. Van Veldhuizen, Kakali Dhar, Smita Mehta, Neela K. Saxena, Gopal Dhar, Suman Kambhampati and Donald R. Campbell. Their work appears in journals such as Cancer Research, Journal of Cell Communication and Signaling, Journal of Biological Chemistry, Molecular Cancer Therapeutics and Oncology Reports.
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.