Dipankar Nandi
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Oncology top 5%
- Peptidase Inhibition and Analysis
Papers in
- Immunology 36
- Immune Response and Inflammation 14
- Immune Cell Function and Interaction 14
- T-cell and B-cell Immunology 10
- Immunotherapy and Immune Responses 9
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- Ubiquitin and proteasome pathways 9
- Glycosylation and Glycoproteins Research 8
- Co-authors
- John J. Monaco (10 shared papers)Dilip Chandu (6 shared papers)Anujith Kumar (9 shared papers)James P. Allison (4 shared papers)Banishree Saha (6 shared papers)Shamik Majumdar (19 shared papers)Bhagawat Chandrasekar (7 shared papers)S. Jyothi Prasanna (2 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)International Immunopharmacology (4 papers)Journal of Biophotonics (4 papers)PLoS ONE (3 papers)The Journal of Immunology (3 papers)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Dipankar Nandi
123 papers receiving 3.8k citations
Dipankar Nandi's Hit Papers
Peers
Comparison fields: 5 of 155
- Immunology 1.0k
- Oncology 734
- Molecular Biology 1.6k
- Biophysics 134
- Cell Biology 279
Countries citing papers authored by Dipankar Nandi
This map shows the geographic impact of Dipankar Nandi'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 Dipankar Nandi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipankar Nandi more than expected).
Fields of papers citing papers by Dipankar Nandi
This network shows the impact of papers produced by Dipankar Nandi. 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 Dipankar Nandi. The network helps show where Dipankar Nandi may publish in the future.
Co-authors
The 25 scholars most cited alongside Dipankar Nandi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The ubiquitin-proteasome system Hit paper breakdown → | 2006 | 562 |
| 2 | 1998 | 376 | |
| 3 | 2009 | 248 | |
| 4 | 1996 | 158 | |
| 5 | 1997 | 152 | |
| 6 | 1994 | 102 | |
| 7 | 1995 | 94 | |
| 8 | 1991 | 73 | |
| 9 | 2013 | 65 | |
| 10 | 2017 | 64 | |
| 11 | 2018 | 62 | |
| 12 | 2003 | 59 | |
| 13 | 2004 | 54 | |
| 14 | 2017 | 49 | |
| 15 | 2011 | 45 | |
| 16 | 2016 | 45 | |
| 17 | 1998 | 43 | |
| 18 | 1993 | 43 | |
| 19 | 2014 | 41 | |
| 20 | 2020 | 41 |
About Dipankar Nandi
Dipankar Nandi is a scholar working on Immunology, Molecular Biology, Oncology, Biomedical Engineering and Surgery, having authored 128 papers that have together received 3.9k indexed citations. Recurring topics across this work include Immune Response and Inflammation (14 papers), Immune Cell Function and Interaction (14 papers), Peptidase Inhibition and Analysis (12 papers), Spectroscopy Techniques in Biomedical and Chemical Research (11 papers), T-cell and B-cell Immunology (10 papers), Ubiquitin and proteasome pathways (9 papers), Immunotherapy and Immune Responses (9 papers) and Glycosylation and Glycoproteins Research (8 papers). The work is most often cited by research in Immunology (1.0k citations), Oncology (734 citations), Molecular Biology (1.6k citations), Biophysics (134 citations) and Cell Biology (279 citations). Dipankar Nandi has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include John J. Monaco, Dilip Chandu, Anujith Kumar, James P. Allison, Banishree Saha, Shamik Majumdar, Bhagawat Chandrasekar, S. Jyothi Prasanna, Miguel Cruz and Thomas A. Griffin. Their work appears in journals such as Journal of Biological Chemistry, International Immunopharmacology, Journal of Biophotonics, PLoS ONE and The Journal of Immunology.
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.