Susmita Sil
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Virology top 5%
- HIV Research and Treatment
Papers in
- Neurology 22
- Neuroinflammation and Neurodegeneration Mechanisms 21
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- Extracellular vesicles in disease 10
- Co-authors
- Shilpa Buch (32 shared papers)Tusharkanti Ghosh (13 shared papers)Palsamy Periyasamy (15 shared papers)Ke Liao (11 shared papers)Ernest T. Chivero (11 shared papers)Guoku Hu (11 shared papers)Annadurai Thangaraj (9 shared papers)Fang Niu (9 shared papers)
- Journals
- Journal of Neuroimmune Pharmacology (4 papers)Cells (3 papers)Journal of Extracellular Vesicles (3 papers)Journal of Neuroimmunology (3 papers)Molecular Neurobiology (2 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Susmita Sil
57 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 99
- Biological Psychiatry 132
- Virology 160
- Neurology 256
- Cancer Research 161
- Developmental Neuroscience 31
Countries citing papers authored by Susmita Sil
This map shows the geographic impact of Susmita Sil'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 Susmita Sil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susmita Sil more than expected).
Fields of papers citing papers by Susmita Sil
This network shows the impact of papers produced by Susmita Sil. 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 Susmita Sil. The network helps show where Susmita Sil may publish in the future.
Co-authors
The 25 scholars most cited alongside Susmita Sil, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 95 | |
| 2 | 2018 | 88 | |
| 3 | 2015 | 67 | |
| 4 | 2016 | 55 | |
| 5 | 2019 | 51 | |
| 6 | 2018 | 49 | |
| 7 | 2023 | 49 | |
| 8 | 2018 | 48 | |
| 9 | 2020 | 43 | |
| 10 | 2019 | 37 | |
| 11 | 2019 | 34 | |
| 12 | 2020 | 33 | |
| 13 | 2020 | 32 | |
| 14 | 2022 | 28 | |
| 15 | 2016 | 26 | |
| 16 | 2004 | 26 | |
| 17 | 1997 | 26 | |
| 18 | 2014 | 25 | |
| 19 | 2020 | 24 | |
| 20 | 2021 | 24 |
About Susmita Sil
Susmita Sil is a scholar working on Neurology, Molecular Biology, Virology, Physiology and Cellular and Molecular Neuroscience, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (21 papers), HIV Research and Treatment (15 papers), Extracellular vesicles in disease (10 papers), Tryptophan and brain disorders (10 papers), Alzheimer's disease research and treatments (8 papers), Porphyrin and Phthalocyanine Chemistry (6 papers), Photodynamic Therapy Research Studies (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Biological Psychiatry (132 citations), Virology (160 citations), Neurology (256 citations), Cancer Research (161 citations) and Developmental Neuroscience (31 citations). Susmita Sil has collaborated with scholars based in United States, India and China. Frequent co-authors include Shilpa Buch, Tusharkanti Ghosh, Palsamy Periyasamy, Ke Liao, Ernest T. Chivero, Guoku Hu, Annadurai Thangaraj, Fang Niu, Abhay Sankar Chakraborti and Eric S. Peeples. Their work appears in journals such as Journal of Neuroimmune Pharmacology, Cells, Journal of Extracellular Vesicles, Journal of Neuroimmunology and Molecular Neurobiology.
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.