Subal Bishayee
- Molecular Biology top 10%
- Oncology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Immunology
- Organic Chemistry
- Co-authors
- Manjusri DasA.S. BalasubramanianSubrata MajumdarStanley CohenJ. M. KhireHelen FernandesB.K. BachhawatCharles D. Scher
- Topics
- Glycosylation and Glycoproteins Research (16 papers)Monoclonal and Polyclonal Antibodies Research (16 papers)HER2/EGFR in Cancer Research (13 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryMolecular and Cellular Biology
- Partner nations
- United StatesIndiaItaly
In The Last Decade
Subal Bishayee
47 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 837
- Oncology 302
- Radiology, Nuclear Medicine and Imaging 247
- Immunology 215
- Organic Chemistry 125
Countries citing papers authored by Subal Bishayee
This map shows the geographic impact of Subal Bishayee'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 Subal Bishayee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subal Bishayee more than expected).
Fields of papers citing papers by Subal Bishayee
This network shows the impact of papers produced by Subal Bishayee. 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 Subal Bishayee. The network helps show where Subal Bishayee may publish in the future.
Co-authorship network of co-authors of Subal Bishayee
This figure shows the co-authorship network connecting the top 25 collaborators of Subal Bishayee. A scholar is included among the top collaborators of Subal Bishayee 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 Subal Bishayee. Subal Bishayee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | Development and characterization of a pre-clinical model of ovarian carcinoma to investigate mechanisms of resistance to the anti-HER2/neu antibody Herceptin™ | 1 |
| 3 | 46 | |
| 4 | 119 | |
| 5 | 45 | |
| 6 | 31 | |
| 7 | 10 | |
| 8 | 11 | |
| 9 | 7 | |
| 10 | 79 | |
| 11 | 110 | |
| 12 | 42 | |
| 13 | 7 | |
| 14 | 6 | |
| 15 | Mitogenic activity of the epidermal growth factor receptor after transfer from A431 carcinoma cells to receptor-negative fibroblastic cells. | 5 |
| 16 | 7 | |
| 17 | 8 | |
| 18 | 60 | |
| 19 | 7 | |
| 20 | 5 |
About Subal Bishayee
Subal Bishayee is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (16 papers), Monoclonal and Polyclonal Antibodies Research (16 papers) and HER2/EGFR in Cancer Research (13 papers). The work is most often cited by research in Immunology and Allergy (97 citations), Molecular Biology (837 citations) and Oncology (302 citations). Subal Bishayee has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Manjusri Das, A.S. Balasubramanian, Subrata Majumdar, Stanley Cohen, J. M. Khire, Helen Fernandes, B.K. Bachhawat, Charles D. Scher, Manchala Raghunath and Aruna Basu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.
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.