Yash Gupta
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Tuberculosis Research and Epidemiology
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- SARS-CoV-2 and COVID-19 Research 8
- COVID-19 Clinical Research Studies 3
-
- Computational Drug Discovery Methods 10
- Co-authors
- Manmeet RawatPrakasha KempaiahY. ThomasWalter A. KoltunRana Al–SadiDharmaprakash ViszwapriyaMeghali NighotGregory S. Yochum
- Journals
- Journal of Low Temperature Physics (3 papers)Current Topics in Medicinal Chemistry (2 papers)Infection Genetics and Evolution (2 papers)Molecular Aspects of Medicine (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Yash Gupta
47 papers receiving 734 citations
Peers
Comparison fields: 5 of 112
- Infectious Diseases 203
- Cancer Research 122
- Computational Theory and Mathematics 95
- Molecular Biology 353
- Molecular Medicine 21
Countries citing papers authored by Yash Gupta
This map shows the geographic impact of Yash 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 Yash Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yash Gupta more than expected).
Fields of papers citing papers by Yash Gupta
This network shows the impact of papers produced by Yash 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 Yash Gupta. The network helps show where Yash Gupta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yash 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 3 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 21 | |
| 13 | 2021 | 25 | |
| 14 | A Compressed Sensing Approach to Group-testing for COVID-19 Detection | 2020 | 8 |
| 15 | 2020 | 4 | |
| 16 | 2018 | 8 | |
| 17 | 2014 | 29 | |
| 18 | 2011 | 10 | |
| 19 | Screening of frenchbean germplasm for resistance to bean common mosaic virus. | 1990 | 2 |
| 20 | Susceptibility of French bean to bean common mosaic virus in relation to plant age, population and age of Myzus persicae. | 1987 | 1 |
About Yash Gupta
Yash Gupta is a scholar working on Infectious Diseases, Computational Theory and Mathematics, Virology, Public Health, Environmental and Occupational Health and Molecular Medicine, having authored 47 papers that have together received 742 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Malaria Research and Control (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers), vaccines and immunoinformatics approaches (5 papers), MicroRNA in disease regulation (4 papers), COVID-19 Clinical Research Studies (3 papers), Mycobacterium research and diagnosis (3 papers) and Research on Leishmaniasis Studies (3 papers). The work is most often cited by research in Infectious Diseases (203 citations), Cancer Research (122 citations), Computational Theory and Mathematics (95 citations), Molecular Biology (353 citations) and Molecular Medicine (21 citations). Yash Gupta has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Manmeet Rawat, Prakasha Kempaiah, Y. Thomas, Walter A. Koltun, Rana Al–Sadi, Dharmaprakash Viszwapriya, Meghali Nighot, Gregory S. Yochum, Ravi Durvasula and Suneel Kumar. Their work appears in journals such as Journal of Low Temperature Physics, Current Topics in Medicinal Chemistry, Infection Genetics and Evolution, Molecular Aspects of Medicine and International Journal of Molecular Sciences.
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.