Ravi Kr Gupta
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Antimicrobial Resistance in Staphylococcus
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 13
- COVID-19 Clinical Research Studies 8
- Antimicrobial Resistance in Staphylococcus 5
- Tuberculosis Research and Epidemiology 4
- SARS-CoV-2 detection and testing 4
- Co-authors
- Chia Y. Lee (5 shared papers)Thanh T. Luong (1 shared paper)DOUGLAS G. GILMOUR (1 shared paper)Colin Hugh Wilson (1 shared paper)CLEMENT W. IMRIE (1 shared paper)Vedam Lakshmi Ramprasad (9 shared papers)Ranjana Srivastava (1 shared paper)Sakthivel Murugan (8 shared papers)
- Journals
- Scientific Reports (5 papers)eLife (3 papers)Nature Communications (3 papers)The Journal of Infectious Diseases (2 papers)Blood (2 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Ravi Kr Gupta
72 papers receiving 2.5k citations
Ravi Kr Gupta's Hit Papers
Peers
Comparison fields: 5 of 135
- Infectious Diseases 799
- Modeling and Simulation 143
- Genetics 461
- Molecular Biology 660
- Cancer Research 129
Countries citing papers authored by Ravi Kr Gupta
This map shows the geographic impact of Ravi Kr Gupta'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 Ravi Kr Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Kr Gupta more than expected).
Fields of papers citing papers by Ravi Kr Gupta
This network shows the impact of papers produced by Ravi Kr Gupta. 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 Ravi Kr Gupta. The network helps show where Ravi Kr Gupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Ravi Kr Gupta, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 385 | |
| 2 | The GenomeAsia 100K Project enables genetic discoveries across Asia Hit paper breakdown → | 2019 | 311 |
| 3 | 2021 | 142 | |
| 4 | 2018 | 129 | |
| 5 | 2015 | 99 | |
| 6 | 1987 | 89 | |
| 7 | 2018 | 80 | |
| 8 | 2020 | 75 | |
| 9 | 2023 | 72 | |
| 10 | 2020 | 70 | |
| 11 | 2021 | 67 | |
| 12 | 2021 | 66 | |
| 13 | 2018 | 58 | |
| 14 | 2021 | 51 | |
| 15 | 2015 | 43 | |
| 16 | 2015 | 43 | |
| 17 | 2013 | 42 | |
| 18 | 2020 | 38 | |
| 19 | 2021 | 37 | |
| 20 | 2017 | 33 |
About Ravi Kr Gupta
Ravi Kr Gupta is a scholar working on Infectious Diseases, Molecular Biology, Genetics, Modeling and Simulation and Neurology, having authored 78 papers that have together received 2.5k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (13 papers), COVID-19 Clinical Research Studies (8 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Tuberculosis Research and Epidemiology (4 papers), COVID-19 epidemiological studies (4 papers), SARS-CoV-2 detection and testing (4 papers), Genomics and Rare Diseases (4 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). The work is most often cited by research in Infectious Diseases (799 citations), Modeling and Simulation (143 citations), Genetics (461 citations), Molecular Biology (660 citations) and Cancer Research (129 citations). Ravi Kr Gupta has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Chia Y. Lee, Thanh T. Luong, DOUGLAS G. GILMOUR, Colin Hugh Wilson, CLEMENT W. IMRIE, Vedam Lakshmi Ramprasad, Ranjana Srivastava, Sakthivel Murugan, Ajish Pillai and Mei G. Lei. Their work appears in journals such as Scientific Reports, eLife, Nature Communications, The Journal of Infectious Diseases and Blood.
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.