Sumit K. Chanda
- Virology top 0.5%
- HIV Research and Treatment 23
- Cancer Research top 0.5%
- Molecular Biology top 0.5%
- Ubiquitin and proteasome pathways 7
- Bioinformatics and Genomic Networks 7
- RNA and protein synthesis mechanisms 6
- Immunology top 0.5%
- interferon and immune responses 16
- Immune Cell Function and Interaction 9
- Aging top 2%
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- Cytomegalovirus and herpesvirus research 8
- Influenza Virus Research Studies 6
- Co-authors
- Lars PacheYingyao ZhouBin ZhouChristopher BennerMax W. ChangOlga TanaseichukAlireza Hadj KhodabakhshiAnthony P. Orth
- Journals
- Proceedings of the National Academy of Sciences (7 papers)PLoS ONE (6 papers)Journal of Virology (5 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Sumit K. Chanda
81 papers receiving 13.7k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Virology 822
- Cancer Research 2.0k
- Molecular Biology 8.2k
- Immunology 2.5k
- Aging 146
Countries citing papers authored by Sumit K. Chanda
This map shows the geographic impact of Sumit K. Chanda'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 Sumit K. Chanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit K. Chanda more than expected).
Fields of papers citing papers by Sumit K. Chanda
This network shows the impact of papers produced by Sumit K. Chanda. 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 Sumit K. Chanda. The network helps show where Sumit K. Chanda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sumit K. Chanda, 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 | 34 | |
| 2 | 2022 | 5 | |
| 3 | 2021 | 29 | |
| 4 | Potential Risk of Infection of First Trimester Placentas by SARS-CoV2 | 2021 | 1 |
| 5 | 2020 | 38 | |
| 6 | 2020 | 13 | |
| 7 | 2019 | 53 | |
| 8 | 2019 | 3 | |
| 9 | Metascape provides a biologist-oriented resource for the analysis of systems-level datasetsbreakdown → | 2019 | 8740 |
| 10 | 2018 | 2 | |
| 11 | 2017 | 20 | |
| 12 | 2017 | 14 | |
| 13 | 2014 | 11 | |
| 14 | 2014 | 14 | |
| 15 | 2010 | 31 | |
| 16 | 2010 | 157 | |
| 17 | 2007 | 166 | |
| 18 | 2007 | 84 | |
| 19 | 2004 | 118 | |
| 20 | 2003 | 75 |
About Sumit K. Chanda
Sumit K. Chanda is a scholar working on Virology, Immunology, Infectious Diseases, Molecular Biology and Biophysics, having authored 82 papers that have together received 13.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (23 papers), interferon and immune responses (16 papers), Immune Cell Function and Interaction (9 papers), Cytomegalovirus and herpesvirus research (8 papers), Ubiquitin and proteasome pathways (7 papers), Bioinformatics and Genomic Networks (7 papers), Influenza Virus Research Studies (6 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Virology (822 citations), Cancer Research (2.0k citations), Molecular Biology (8.2k citations), Immunology (2.5k citations) and Aging (146 citations). Sumit K. Chanda has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Lars Pache, Yingyao Zhou, Bin Zhou, Christopher Benner, Max W. Chang, Olga Tanaseichuk, Alireza Hadj Khodabakhshi, Anthony P. Orth, Renate König and Serge Batalov. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE, Journal of Virology, Nature Communications and PLoS Pathogens.
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.