Arvind S. Negi
Impact in
- Drug Discovery top 0.01%
- Pharmacology top 0.5%
- Pharmacological Effects of Natural Compounds
Papers in
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- Synthesis and biological activity 28
- Synthesis and Biological Evaluation 6
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- Cancer therapeutics and mechanisms 7
- Co-authors
- Suaib Luqman (29 shared papers)Karuna Shanker (26 shared papers)Debabrata Chanda (31 shared papers)S. P. S. Khanuja (9 shared papers)Feroz Khan (25 shared papers)J. Kotesh Kumar (6 shared papers)Mahendra P. Darokar (10 shared papers)Jayanta Sarkar (9 shared papers)
In The Last Decade
Arvind S. Negi
74 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 119
- Drug Discovery 85
- Pharmacology 380
- Toxicology 139
- Organic Chemistry 1.0k
- Complementary and alternative medicine 263
Countries citing papers authored by Arvind S. Negi
This map shows the geographic impact of Arvind S. Negi'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 Arvind S. Negi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind S. Negi more than expected).
Fields of papers citing papers by Arvind S. Negi
This network shows the impact of papers produced by Arvind S. Negi. 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 Arvind S. Negi. The network helps show where Arvind S. Negi may publish in the future.
Co-authors
The 25 scholars most cited alongside Arvind S. Negi, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 199 | |
| 2 | 2007 | 146 | |
| 3 | 2021 | 142 | |
| 4 | 2018 | 118 | |
| 5 | 2008 | 117 | |
| 6 | 2014 | 116 | |
| 7 | 2005 | 105 | |
| 8 | 2009 | 75 | |
| 9 | 2015 | 69 | |
| 10 | 2016 | 66 | |
| 11 | 2018 | 63 | |
| 12 | 2014 | 62 | |
| 13 | 2011 | 59 | |
| 14 | 2012 | 56 | |
| 15 | 2014 | 56 | |
| 16 | 2014 | 54 | |
| 17 | 2016 | 53 | |
| 18 | 2021 | 52 | |
| 19 | 2013 | 48 | |
| 20 | 2013 | 48 |
About Arvind S. Negi
Arvind S. Negi is a scholar working on Organic Chemistry, Molecular Biology, Pharmacology, Toxicology and Oncology, having authored 79 papers that have together received 2.6k indexed citations. Recurring topics across this work include Synthesis and biological activity (28 papers), Bioactive Compounds and Antitumor Agents (10 papers), Microbial Natural Products and Biosynthesis (8 papers), Cancer therapeutics and mechanisms (7 papers), Tannin, Tannase and Anticancer Activities (6 papers), Cancer Treatment and Pharmacology (6 papers), Computational Drug Discovery Methods (6 papers) and Synthesis and Biological Evaluation (6 papers). The work is most often cited by research in Drug Discovery (85 citations), Pharmacology (380 citations), Toxicology (139 citations), Organic Chemistry (1.0k citations) and Complementary and alternative medicine (263 citations). Arvind S. Negi has collaborated with scholars based in India, Italy and Czechia. Frequent co-authors include Suaib Luqman, Karuna Shanker, Debabrata Chanda, S. P. S. Khanuja, Feroz Khan, J. Kotesh Kumar, Mahendra P. Darokar, Jayanta Sarkar, Arjun Singh and Dharmendra Saikia. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, European Journal of Medicinal Chemistry, European Journal of Pharmacology and Steroids.
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.