Nancy Tripathi
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Computational Drug Discovery Methods 6
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- Natural product bioactivities and synthesis 4
- Bioactive natural compounds 3
- Bioactive Natural Diterpenoids Research 2
- Co-authors
- Shreyans Kumar Jain (33 shared papers)Bharat Goel (22 shared papers)Nivedita Bhardwaj (29 shared papers)Hemant Kumar (2 shared papers)Santosh Kumar Guru (7 shared papers)Debaraj Mukherjee (1 shared paper)Arindam Indra (2 shared papers)Ajit Singh (2 shared papers)
In The Last Decade
Nancy Tripathi
38 papers receiving 316 citations
Peers
Comparison fields: 5 of 65
- Drug Discovery 1
- Computational Theory and Mathematics 42
- Organic Chemistry 70
- Complementary and alternative medicine 17
- Molecular Biology 113
Countries citing papers authored by Nancy Tripathi
This map shows the geographic impact of Nancy Tripathi'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 Nancy Tripathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy Tripathi more than expected).
Fields of papers citing papers by Nancy Tripathi
This network shows the impact of papers produced by Nancy Tripathi. 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 Nancy Tripathi. The network helps show where Nancy Tripathi may publish in the future.
Co-authors
The 25 scholars most cited alongside Nancy Tripathi, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 37 | |
| 2 | 2020 | 32 | |
| 3 | 2020 | 26 | |
| 4 | 2020 | 23 | |
| 5 | 2021 | 23 | |
| 6 | 2021 | 14 | |
| 7 | 2023 | 14 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2021 | 10 | |
| 12 | 2024 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2025 | 8 | |
| 15 | 2020 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2024 | 6 |
About Nancy Tripathi
Nancy Tripathi is a scholar working on Computational Theory and Mathematics, Molecular Biology, Organic Chemistry, Infectious Diseases and Plant Science, having authored 40 papers that have together received 324 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Natural product bioactivities and synthesis (4 papers), Plant chemical constituents analysis (3 papers), Bioactive natural compounds (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Chemical Synthesis and Reactions (2 papers), Bioactive Natural Diterpenoids Research (2 papers) and Pharmacological Effects of Natural Compounds (2 papers). The work is most often cited by research in Drug Discovery (1 citation), Computational Theory and Mathematics (42 citations), Organic Chemistry (70 citations), Complementary and alternative medicine (17 citations) and Molecular Biology (113 citations). Nancy Tripathi has collaborated with scholars based in India, Germany and Israel. Frequent co-authors include Shreyans Kumar Jain, Bharat Goel, Nivedita Bhardwaj, Hemant Kumar, Santosh Kumar Guru, Debaraj Mukherjee, Arindam Indra, Ajit Singh, Bharat Lal Sahu and Bikarma Singh. Their work appears in journals such as ACS Omega, Chemistry & Biodiversity, Journal of Biomolecular Structure and Dynamics, Mini-Reviews in Medicinal Chemistry and New Journal of Chemistry.
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.