Arvind Negi
Impact in
- Toxicology top 5%
- Bioactive Compounds and Antitumor Agents
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Natural product bioactivities and synthesis 6
- Cancer therapeutics and mechanisms 6
- Chemical Synthesis and Analysis 5
- Co-authors
- J. Kotesh Kumar (3 shared papers)Kavindra Kumar Kesari (9 shared papers)S. P. S. Khanuja (2 shared papers)Madan M. Gupta (2 shared papers)Vandana Srivastava (2 shared papers)Paul V. Murphy (7 shared papers)Raj Kumar (6 shared papers)Anne Sophie Voisin‐Chiret (4 shared papers)
In The Last Decade
Arvind Negi
81 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 121
- Toxicology 67
- Biomaterials 207
- Organic Chemistry 420
- Pharmacology 175
- Molecular Medicine 52
Countries citing papers authored by Arvind Negi
This map shows the geographic impact of Arvind 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 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 Negi more than expected).
Fields of papers citing papers by Arvind Negi
This network shows the impact of papers produced by Arvind 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 Negi. The network helps show where Arvind Negi may publish in the future.
Co-authors
The 25 scholars most cited alongside Arvind 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 325 | |
| 2 | 2023 | 91 | |
| 3 | 2022 | 78 | |
| 4 | 2020 | 74 | |
| 5 | 2010 | 56 | |
| 6 | 2023 | 55 | |
| 7 | 2022 | 53 | |
| 8 | 2023 | 50 | |
| 9 | 2018 | 50 | |
| 10 | 2015 | 49 | |
| 11 | 2014 | 48 | |
| 12 | 2022 | 47 | |
| 13 | 2023 | 45 | |
| 14 | 2015 | 43 | |
| 15 | 2015 | 41 | |
| 16 | 2023 | 39 | |
| 17 | 2013 | 28 | |
| 18 | 2006 | 25 | |
| 19 | 2023 | 25 | |
| 20 | 2014 | 25 |
About Arvind Negi
Arvind Negi is a scholar working on Molecular Biology, Plant Science, Organic Chemistry, Food Science and Materials Chemistry, having authored 85 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Natural product bioactivities and synthesis (6 papers), Synthesis and biological activity (6 papers), Cancer therapeutics and mechanisms (6 papers), Dyeing and Modifying Textile Fibers (5 papers), Chemical Synthesis and Analysis (5 papers), Essential Oils and Antimicrobial Activity (5 papers) and Advanced Cellulose Research Studies (4 papers). The work is most often cited by research in Toxicology (67 citations), Biomaterials (207 citations), Organic Chemistry (420 citations), Pharmacology (175 citations) and Molecular Medicine (52 citations). Arvind Negi has collaborated with scholars based in India, Finland and Ireland. Frequent co-authors include J. Kotesh Kumar, Kavindra Kumar Kesari, S. P. S. Khanuja, Madan M. Gupta, Vandana Srivastava, Paul V. Murphy, Raj Kumar, Anne Sophie Voisin‐Chiret, Sandeep Singh and Gaurav Joshi. Their work appears in journals such as Polymers, European Journal of Medicinal Chemistry, Bioorganic Chemistry, Pharmaceutics and ACS Omega.
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.