Sayak Mukherjee
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- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 3
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- Gene Regulatory Network Analysis 4
- Metabolomics and Mass Spectrometry Studies 1
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- Computational Drug Discovery Methods 3
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- Evolution and Genetic Dynamics 2
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- Cell Image Analysis Techniques 2
- Co-authors
- Jayajit DasEike‐Christian WamhoffMark BatheBenjamin J. ReadTyson J. MoyerWilliam R. SchiefMatthew B. StoneRémi Veneziano
- Cited by
- ImmunologyMolecular BiologyVirology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (2 papers)Nature Nanotechnology (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Sayak Mukherjee
18 papers receiving 446 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Immunology 155
- Molecular Biology 292
- Virology 12
- Ecology 58
- Biomedical Engineering 77
Countries citing papers authored by Sayak Mukherjee
This map shows the geographic impact of Sayak Mukherjee'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 Sayak Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayak Mukherjee more than expected).
Fields of papers citing papers by Sayak Mukherjee
This network shows the impact of papers produced by Sayak Mukherjee. 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 Sayak Mukherjee. The network helps show where Sayak Mukherjee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sayak Mukherjee, 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 | 2023 | 9 | |
| 3 | Role of nanoscale antigen organization on B-cell activation probed using DNA origamibreakdown → | 2020 | 311 |
| 4 | 2019 | 14 | |
| 5 | 2018 | 3 | |
| 6 | 2018 | 1 | |
| 7 | 2017 | 23 | |
| 8 | 2017 | 3 | |
| 9 | 2016 | 16 | |
| 10 | 2014 | 4 | |
| 11 | 2014 | 6 | |
| 12 | 2014 | 26 | |
| 13 | 2013 | 7 | |
| 14 | 2013 | 4 | |
| 15 | 2013 | 11 | |
| 16 | 2013 | 2 | |
| 17 | 2012 | 5 | |
| 18 | 2007 | 1 |
About Sayak Mukherjee
Sayak Mukherjee is a scholar working on Biophysics, Immunology and Computational Theory and Mathematics, having authored 18 papers that have together received 450 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (4 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (4 papers), Computational Drug Discovery Methods (3 papers), Immunotherapy and Immune Responses (3 papers), Evolution and Genetic Dynamics (2 papers), Cell Image Analysis Techniques (2 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Immunology (155 citations), Molecular Biology (292 citations) and Virology (12 citations). Sayak Mukherjee has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Jayajit Das, Eike‐Christian Wamhoff, Mark Bathe, Benjamin J. Read, Tyson J. Moyer, William R. Schief, Matthew B. Stone, Rémi Veneziano, Tyson R. Shepherd and Darrell J. Irvine. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Nature Nanotechnology.
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.