Jayajit Das
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Molecular Biology top 10%
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
- Gene Regulatory Network Analysis
Papers in
- Immunology 26
- T-cell and B-cell Immunology 21
- Immune Cell Function and Interaction 20
- Immunotherapy and Immune Responses 10
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- Gene Regulatory Network Analysis 12
- Single-cell and spatial transcriptomics 6
- Co-authors
- Arup K. Chakraborty (13 shared papers)Arthur Weiss (5 shared papers)Julie Zikherman (5 shared papers)Jeroen P. Roose (4 shared papers)Sayak Mukherjee (14 shared papers)Christopher C. Govern (3 shared papers)Ming Yang (3 shared papers)Mary Ho (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Science Signaling (5 papers)The Journal of Physical Chemistry B (3 papers)Biophysical Journal (3 papers)The Journal of Chemical Physics (2 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Jayajit Das
52 papers receiving 1.7k citations
Jayajit Das's Hit Papers
Peers
Comparison fields: 5 of 121
- Immunology 772
- Molecular Biology 763
- Biophysics 64
- Oncology 258
- Immunology and Allergy 39
Countries citing papers authored by Jayajit Das
This map shows the geographic impact of Jayajit Das'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 Jayajit Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayajit Das more than expected).
Fields of papers citing papers by Jayajit Das
This network shows the impact of papers produced by Jayajit Das. 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 Jayajit Das. The network helps show where Jayajit Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Jayajit Das, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Role of nanoscale antigen organization on B-cell activation probed using DNA origami Hit paper breakdown → | 2020 | 323 |
| 2 | 2009 | 321 | |
| 3 | 2008 | 113 | |
| 4 | 2007 | 87 | |
| 5 | 2007 | 76 | |
| 6 | 2013 | 61 | |
| 7 | 2008 | 60 | |
| 8 | 2010 | 57 | |
| 9 | 2009 | 47 | |
| 10 | 2007 | 45 | |
| 11 | 2015 | 44 | |
| 12 | 2017 | 34 | |
| 13 | 2006 | 28 | |
| 14 | 2009 | 27 | |
| 15 | 2014 | 26 | |
| 16 | 2005 | 25 | |
| 17 | 2017 | 23 | |
| 18 | 2005 | 22 | |
| 19 | 2010 | 22 | |
| 20 | 2021 | 21 |
About Jayajit Das
Jayajit Das is a scholar working on Immunology, Molecular Biology, Oncology, Condensed Matter Physics and Biophysics, having authored 57 papers that have together received 1.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (21 papers), Immune Cell Function and Interaction (20 papers), Gene Regulatory Network Analysis (12 papers), Immunotherapy and Immune Responses (10 papers), CAR-T cell therapy research (7 papers), Single-cell and spatial transcriptomics (6 papers), Theoretical and Computational Physics (5 papers) and Mathematical Biology Tumor Growth (4 papers). The work is most often cited by research in Immunology (772 citations), Molecular Biology (763 citations), Biophysics (64 citations), Oncology (258 citations) and Immunology and Allergy (39 citations). Jayajit Das has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Arup K. Chakraborty, Arthur Weiss, Julie Zikherman, Jeroen P. Roose, Sayak Mukherjee, Christopher C. Govern, Ming Yang, Mary Ho, Mehran Kardar and Tyson J. Moyer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Science Signaling, The Journal of Physical Chemistry B, Biophysical Journal and The Journal of Chemical Physics.
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.