Swapna Chaudhuri
- Modeling and Simulation top 5%
- Immunology top 10%
- Immunotherapy and Immune Responses 13
- Immune cells in cancer 11
- Immune Cell Function and Interaction 8
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- Glioma Diagnosis and Treatment 6
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- Chemokine receptors and signaling 4
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- Neuroinflammation and Neurodegeneration Mechanisms 6
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- Cancer, Hypoxia, and Metabolism 4
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- Angiogenesis and VEGF in Cancer 3
- Co-authors
- Anirban GhoshSubhas KhajanchiSuhnrita ChaudhuriDebanjan BhattacharyaManoj Kumar SinghJoydeep MukherjeeSusobhan SarkarSirshendu Chatterjee
- Journals
- Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (1 paper)Cancer Research (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Swapna Chaudhuri
46 papers receiving 515 citations
Peers
Comparison fields: 5 of 90
- Modeling and Simulation 79
- Immunology 222
- Genetics 72
- Oncology 137
- Neurology 35
Countries citing papers authored by Swapna Chaudhuri
This map shows the geographic impact of Swapna Chaudhuri'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 Swapna Chaudhuri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swapna Chaudhuri more than expected).
Fields of papers citing papers by Swapna Chaudhuri
This network shows the impact of papers produced by Swapna Chaudhuri. 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 Swapna Chaudhuri. The network helps show where Swapna Chaudhuri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Swapna Chaudhuri, 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 | 2020 | 2 | |
| 2 | 2018 | 6 | |
| 3 | Microglial Contribution to Glioma Progression: an Immunohistochemical Study in Eastern India. | 2016 | 2 |
| 4 | 2016 | 3 | |
| 5 | 2015 | 18 | |
| 6 | 2015 | 10 | |
| 7 | 2015 | 76 | |
| 8 | 2014 | 16 | |
| 9 | 2013 | 5 | |
| 10 | 2013 | 18 | |
| 11 | 2012 | 1 | |
| 12 | 2012 | 6 | |
| 13 | 2010 | 39 | |
| 14 | 2009 | 16 | |
| 15 | 2006 | 3 | |
| 16 | 2006 | 13 | |
| 17 | 2004 | 18 | |
| 18 | 2004 | 22 | |
| 19 | 2001 | 24 | |
| 20 | Surface ultrastructural changes of percoll separated splenic lymphocytes from syngeneic & allogeneic mice with transplanted ascites fibrosarcoma tumour. | 1982 | 1 |
About Swapna Chaudhuri
Swapna Chaudhuri is a scholar working on Immunology, Neurology and Immunology and Allergy, having authored 49 papers that have together received 553 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (13 papers), Immune cells in cancer (11 papers), Immune Cell Function and Interaction (8 papers), Glioma Diagnosis and Treatment (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Cancer, Hypoxia, and Metabolism (4 papers), Chemokine receptors and signaling (4 papers) and Angiogenesis and VEGF in Cancer (3 papers). The work is most often cited by research in Modeling and Simulation (79 citations), Immunology (222 citations) and Genetics (72 citations). Swapna Chaudhuri has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Anirban Ghosh, Subhas Khajanchi, Suhnrita Chaudhuri, Debanjan Bhattacharya, Manoj Kumar Singh, Joydeep Mukherjee, Susobhan Sarkar, Sirshendu Chatterjee, S.K. Alex Law and Joydeep Mukherjee. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Research.
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.