Sumana Sanyal
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
- Virology top 5%
Papers in
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- Lipid Membrane Structure and Behavior 7
- Glycosylation and Glycoproteins Research 5
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- Mosquito-borne diseases and control 11
- Co-authors
- Anant K. Menon (6 shared papers)Hidde L. Ploegh (8 shared papers)Yun Lan (5 shared papers)Jing Shu Zhang (3 shared papers)Roberto Bruzzone (4 shared papers)Ying Fan (3 shared papers)Ho Him Wong (5 shared papers)Joseph Ashour (4 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Nature Communications (3 papers)Disease Models & Mechanisms (2 papers)Journal of Biological Chemistry (2 papers)Cell Host & Microbe (2 papers)
- Partner nations
- United KingdomUnited StatesHong Kong
In The Last Decade
Sumana Sanyal
37 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 100
- Cell Biology 352
- Virology 101
- Infectious Diseases 318
- Immunology 352
- Biochemistry 111
Countries citing papers authored by Sumana Sanyal
This map shows the geographic impact of Sumana Sanyal'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 Sumana Sanyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumana Sanyal more than expected).
Fields of papers citing papers by Sumana Sanyal
This network shows the impact of papers produced by Sumana Sanyal. 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 Sumana Sanyal. The network helps show where Sumana Sanyal may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumana Sanyal, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 145 | |
| 2 | 2013 | 131 | |
| 3 | 2011 | 130 | |
| 4 | 2009 | 105 | |
| 5 | 2018 | 97 | |
| 6 | 2021 | 83 | |
| 7 | 2011 | 82 | |
| 8 | 2021 | 73 | |
| 9 | 2008 | 71 | |
| 10 | 2017 | 59 | |
| 11 | 2018 | 53 | |
| 12 | 2020 | 51 | |
| 13 | 2013 | 51 | |
| 14 | 2019 | 49 | |
| 15 | 2009 | 46 | |
| 16 | 2016 | 45 | |
| 17 | 2020 | 42 | |
| 18 | 2010 | 41 | |
| 19 | 2007 | 40 | |
| 20 | 2013 | 39 |
About Sumana Sanyal
Sumana Sanyal is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Epidemiology, Infectious Diseases and Immunology, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (11 papers), interferon and immune responses (8 papers), Lipid Membrane Structure and Behavior (7 papers), Cellular transport and secretion (6 papers), Autophagy in Disease and Therapy (6 papers), HIV Research and Treatment (5 papers), Glycosylation and Glycoproteins Research (5 papers) and Viral Infections and Vectors (5 papers). The work is most often cited by research in Cell Biology (352 citations), Virology (101 citations), Infectious Diseases (318 citations), Immunology (352 citations) and Biochemistry (111 citations). Sumana Sanyal has collaborated with scholars based in United Kingdom, United States and Hong Kong. Frequent co-authors include Anant K. Menon, Hidde L. Ploegh, Yun Lan, Jing Shu Zhang, Roberto Bruzzone, Ying Fan, Ho Him Wong, Joseph Ashour, Deeksha Munnur and João Palma Neves Pombo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Disease Models & Mechanisms, Journal of Biological Chemistry and Cell Host & Microbe.
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.