Sushil Tripathi
Impact in
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
Papers in
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- Adenosine and Purinergic Signaling 6
-
- Animal Disease Management and Epidemiology 8
- Co-authors
- Pradeep KumarKailash C. GuptaAstrid LægreidLiv ThommesenMartin KuiperK.C. GuptaKonika ChawlaC. Tosh
- Journals
- Bioorganic Chemistry (2 papers)Molecular Imaging and Biology (2 papers)Colloids and Surfaces B Biointerfaces (2 papers)Database (2 papers)Infection Genetics and Evolution (2 papers)
- Partner nations
- IndiaUnited StatesSouth Korea
In The Last Decade
Sushil Tripathi
56 papers receiving 937 citations
Peers
Comparison fields: 5 of 119
- Agronomy and Crop Science 139
- Cancer Research 106
- Infectious Diseases 130
- Molecular Biology 466
- Epidemiology 223
Countries citing papers authored by Sushil Tripathi
This map shows the geographic impact of Sushil 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 Sushil Tripathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushil Tripathi more than expected).
Fields of papers citing papers by Sushil Tripathi
This network shows the impact of papers produced by Sushil 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 Sushil Tripathi. The network helps show where Sushil Tripathi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sushil 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2021 | 7 | |
| 7 | 2020 | 40 | |
| 8 | 2018 | 28 | |
| 9 | Bacterial toxicological assay of Calcium Oxide Nanoparticles against some plant growth promoting rhizobacteria. | 2018 | 4 |
| 10 | 2017 | 54 | |
| 11 | 2016 | 9 | |
| 12 | 2015 | 24 | |
| 13 | 2015 | 44 | |
| 14 | 2014 | 6 | |
| 15 | 2013 | 3 | |
| 16 | 2013 | 41 | |
| 17 | 2012 | 14 | |
| 18 | 2011 | 14 | |
| 19 | 2010 | 23 | |
| 20 | Seroprevalence of blue tongue virus (BTV) antibodies in sheep and goats of semiarid Rajasthan | 2008 | 2 |
About Sushil Tripathi
Sushil Tripathi is a scholar working on Physiology, Agronomy and Crop Science, Infectious Diseases, Geriatrics and Gerontology and Genetics, having authored 61 papers that have together received 961 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (13 papers), Advanced biosensing and bioanalysis techniques (12 papers), Virus-based gene therapy research (9 papers), Influenza Virus Research Studies (9 papers), Animal Disease Management and Epidemiology (8 papers), Viral gastroenteritis research and epidemiology (6 papers), Adenosine and Purinergic Signaling (6 papers) and Radiopharmaceutical Chemistry and Applications (5 papers). The work is most often cited by research in Agronomy and Crop Science (139 citations), Cancer Research (106 citations), Infectious Diseases (130 citations), Molecular Biology (466 citations) and Epidemiology (223 citations). Sushil Tripathi has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Pradeep Kumar, Kailash C. Gupta, Astrid Lægreid, Liv Thommesen, Martin Kuiper, K.C. Gupta, Konika Chawla, C. Tosh, S. Nagarajan and H. V. Murugkar. Their work appears in journals such as Bioorganic Chemistry, Molecular Imaging and Biology, Colloids and Surfaces B Biointerfaces, Database and Infection Genetics and Evolution.
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.