Grace Gupta
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
-
- Computational Drug Discovery Methods
Papers in
-
- Protein Structure and Dynamics 13
- Bacillus and Francisella bacterial research 3
- RNA and protein synthesis mechanisms 2
- Lipid Membrane Structure and Behavior 2
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- SARS-CoV-2 and COVID-19 Research 17
- Co-authors
- Gennady M. Verkhivker (22 shared papers)Steve Agajanian (6 shared papers)Sian Xiao (9 shared papers)Peng Tao (9 shared papers)Hao Tian (2 shared papers)Mohammed Merae Alshahrani (1 shared paper)
- Journals
- International Journal of Molecular Sciences (5 papers)Viruses (4 papers)Journal of Chemical Information and Modeling (3 papers)ACS Omega (2 papers)Physical Chemistry Chemical Physics (2 papers)
- Partner nations
- United States
In The Last Decade
Grace Gupta
22 papers receiving 229 citations
Peers
Comparison fields: 5 of 41
- Infectious Diseases 157
- Computational Theory and Mathematics 83
- Radiology, Nuclear Medicine and Imaging 63
- Physical and Theoretical Chemistry 24
- Molecular Biology 148
Countries citing papers authored by Grace Gupta
This map shows the geographic impact of Grace 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 Grace Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace Gupta more than expected).
Fields of papers citing papers by Grace Gupta
This network shows the impact of papers produced by Grace 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 Grace Gupta. The network helps show where Grace Gupta may publish in the future.
Co-authors
The 6 scholars most cited alongside Grace 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 49 | |
| 2 | 2021 | 33 | |
| 3 | 2021 | 18 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 13 | |
| 6 | 2024 | 12 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 10 | |
| 9 | 2021 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2024 | 7 | |
| 13 | 2024 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 2 |
About Grace Gupta
Grace Gupta is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging and Ecology, having authored 22 papers that have together received 229 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (17 papers), Protein Structure and Dynamics (13 papers), Computational Drug Discovery Methods (12 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Bacteriophages and microbial interactions (4 papers), Bacillus and Francisella bacterial research (3 papers), RNA and protein synthesis mechanisms (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Infectious Diseases (157 citations), Computational Theory and Mathematics (83 citations), Radiology, Nuclear Medicine and Imaging (63 citations), Physical and Theoretical Chemistry (24 citations) and Molecular Biology (148 citations). Grace Gupta has collaborated with scholars based in United States. Frequent co-authors include Gennady M. Verkhivker, Steve Agajanian, Sian Xiao, Peng Tao, Hao Tian and Mohammed Merae Alshahrani. Their work appears in journals such as International Journal of Molecular Sciences, Viruses, Journal of Chemical Information and Modeling, ACS Omega and Physical Chemistry Chemical Physics.
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.