Arvind Negi
Impact in
- Drug Discovery top 10%
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
Papers in
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- Synthesis and biological activity 6
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- Advanced Cellulose Research Studies 3
- Co-authors
- Kavindra Kumar Kesari (9 shared papers)J. Kotesh Kumar (2 shared papers)Madanmohan Gupta (1 shared paper)Suman P. S. Khanuja (1 shared paper)Paul V. Murphy (7 shared papers)Raj Kumar (6 shared papers)Anne Sophie Voisin‐Chiret (4 shared papers)Sandeep Singh (4 shared papers)
In The Last Decade
Arvind Negi
61 papers receiving 1.8k citations
Arvind Negi's Hit Papers
Peers
Comparison fields: 5 of 105
- Drug Discovery 9
- Biomaterials 213
- Pharmaceutical Science 85
- Organic Chemistry 338
- Computational Theory and Mathematics 142
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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 322 | |
| 2 | 2023 | 105 | |
| 3 | 2022 | 92 | |
| 4 | 2020 | 79 | |
| 5 | 2023 | 66 | |
| 6 | 2022 | 59 | |
| 7 | 2010 | 55 | |
| 8 | 2023 | 54 | |
| 9 | 2022 | 52 | |
| 10 | 2023 | 52 | |
| 11 | 2018 | 50 | |
| 12 | 2023 | 50 | |
| 13 | 2014 | 49 | |
| 14 | 2015 | 49 | |
| 15 | 2015 | 44 | |
| 16 | 2015 | 43 | |
| 17 | Environmental Impact of Textile Materials: Challenges in Fiber–Dye Chemistry and Implication of Microbial Biodegradation Hit paper breakdown → | 2025 | 42 |
| 18 | 2013 | 30 | |
| 19 | 2023 | 30 | |
| 20 | 2014 | 26 |
About Arvind Negi
Arvind Negi is a scholar working on Organic Chemistry, Biomaterials, Computational Theory and Mathematics, Molecular Biology and Pharmacology, having authored 61 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Synthesis and biological activity (6 papers), Dyeing and Modifying Textile Fibers (5 papers), Protein Degradation and Inhibitors (4 papers), Steroid Chemistry and Biochemistry (3 papers), Alzheimer's disease research and treatments (3 papers), Advanced Cellulose Research Studies (3 papers) and Chemical Synthesis and Analysis (3 papers). The work is most often cited by research in Drug Discovery (9 citations), Biomaterials (213 citations), Pharmaceutical Science (85 citations), Organic Chemistry (338 citations) and Computational Theory and Mathematics (142 citations). Arvind Negi has collaborated with scholars based in India, Finland and Ireland. Frequent co-authors include Kavindra Kumar Kesari, J. Kotesh Kumar, Madanmohan Gupta, Suman P. S. Khanuja, Paul V. Murphy, Raj Kumar, Anne Sophie Voisin‐Chiret, Sandeep Singh, Gaurav Joshi and Niraj Kumar Jha. Their work appears in journals such as Polymers, European Journal of Medicinal Chemistry, Pharmaceutics, Bioorganic Chemistry 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.