Bijay Mukherji
- Immunology top 1%
- Oncology top 2%
- Molecular Biology top 10%
- Genetics top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Nitya G. ChakrabortyM T ErginJonathan SpornArvind ChhabraT J MacAlisterJames S. EconomouLisa H. ButterfieldSubhasis Chattopadhyay
- Topics
- Immunotherapy and Immune Responses (51 papers)CAR-T cell therapy research (28 papers)T-cell and B-cell Immunology (24 papers)
- Cited by
- ImmunologyOncologyMolecular Biology
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationThe Journal of Experimental Medicine
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Bijay Mukherji
65 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 90
- Immunology 1.8k
- Oncology 1.0k
- Molecular Biology 729
- Genetics 262
- Radiology, Nuclear Medicine and Imaging 139
Countries citing papers authored by Bijay Mukherji
This map shows the geographic impact of Bijay Mukherji'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 Bijay Mukherji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bijay Mukherji more than expected).
Fields of papers citing papers by Bijay Mukherji
This network shows the impact of papers produced by Bijay Mukherji. 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 Bijay Mukherji. The network helps show where Bijay Mukherji may publish in the future.
Co-authorship network of co-authors of Bijay Mukherji
This figure shows the co-authorship network connecting the top 25 collaborators of Bijay Mukherji. A scholar is included among the top collaborators of Bijay Mukherji 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 Bijay Mukherji. Bijay Mukherji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 1 | |
| 3 | 34 | |
| 4 | 4 | |
| 5 | 32 | |
| 6 | 36 | |
| 7 | 39 | |
| 8 | 41 | |
| 9 | 73 | |
| 10 | 31 | |
| 11 | 19 | |
| 12 | 18 | |
| 13 | 66 | |
| 14 | 11 | |
| 15 | 16 | |
| 16 | 4 | |
| 17 | 5 | |
| 18 | 14 | |
| 19 | 113 | |
| 20 | 112 |
About Bijay Mukherji
Bijay Mukherji is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 67 papers that have together received 2.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (51 papers), CAR-T cell therapy research (28 papers) and T-cell and B-cell Immunology (24 papers). The work is most often cited by research in Immunology (1.8k citations), Oncology (1.0k citations) and Molecular Biology (729 citations). Bijay Mukherji has collaborated with scholars based in United States, India and France. Frequent co-authors include Nitya G. Chakraborty, M T Ergin, Jonathan Sporn, Arvind Chhabra, T J MacAlister, James S. Economou, Lisa H. Butterfield, Subhasis Chattopadhyay, Shikhar Mehrotra and Antoni Ribas. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.
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.