Sunit Kumar Singh
Impact in
Papers in
- Neurology 19
- Barrier Structure and Function Studies 10
- Neuroinflammation and Neurodegeneration Mechanisms 9
-
- MicroRNA in disease regulation 16
- Co-authors
- Meghana Rastogi (15 shared papers)Ritu Mishra (9 shared papers)Daniel Růžek (3 shared papers)Hermann Josef Girschick (5 shared papers)Anirban Basu (4 shared papers)Kanhaiya Lal Kumawat (3 shared papers)Chintan Chhatbar (4 shared papers)Neha Pandey (8 shared papers)
- Journals
- Future Microbiology (4 papers)Journal of Medical Virology (4 papers)Drug Discovery Today (3 papers)International Journal of Biological Macromolecules (3 papers)Journal of Neuroinflammation (3 papers)
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
Sunit Kumar Singh
82 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 122
- Neurology 280
- Virology 150
- Parasitology 214
- Cancer Research 322
- Infectious Diseases 397
Countries citing papers authored by Sunit Kumar Singh
This map shows the geographic impact of Sunit Kumar Singh'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 Sunit Kumar Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunit Kumar Singh more than expected).
Fields of papers citing papers by Sunit Kumar Singh
This network shows the impact of papers produced by Sunit Kumar Singh. 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 Sunit Kumar Singh. The network helps show where Sunit Kumar Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunit Kumar Singh, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 226 | |
| 2 | 2011 | 143 | |
| 3 | 2008 | 135 | |
| 4 | 1996 | 130 | |
| 5 | 2011 | 122 | |
| 6 | 2015 | 109 | |
| 7 | 2014 | 82 | |
| 8 | 2004 | 78 | |
| 9 | 2020 | 76 | |
| 10 | 2013 | 70 | |
| 11 | 2016 | 66 | |
| 12 | 2004 | 65 | |
| 13 | 2011 | 63 | |
| 14 | 2013 | 59 | |
| 15 | 2014 | 58 | |
| 16 | 2016 | 55 | |
| 17 | 2021 | 53 | |
| 18 | 2012 | 48 | |
| 19 | 2021 | 48 | |
| 20 | 2014 | 46 |
About Sunit Kumar Singh
Sunit Kumar Singh is a scholar working on Neurology, Cancer Research, Infectious Diseases, Virology and Parasitology, having authored 90 papers that have together received 2.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (16 papers), Mosquito-borne diseases and control (15 papers), HIV Research and Treatment (10 papers), Barrier Structure and Function Studies (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Viral Infections and Vectors (8 papers), interferon and immune responses (6 papers) and Vector-borne infectious diseases (6 papers). The work is most often cited by research in Neurology (280 citations), Virology (150 citations), Parasitology (214 citations), Cancer Research (322 citations) and Infectious Diseases (397 citations). Sunit Kumar Singh has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Meghana Rastogi, Ritu Mishra, Daniel Růžek, Hermann Josef Girschick, Anirban Basu, Kanhaiya Lal Kumawat, Chintan Chhatbar, Neha Pandey, H. J. Girschick and Manika Pal Bhadra. Their work appears in journals such as Future Microbiology, Journal of Medical Virology, Drug Discovery Today, International Journal of Biological Macromolecules and Journal of Neuroinflammation.
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.