Rajeshwar P. Verma
- Molecular Biology top 10%
- Organic Chemistry top 2%
- Computational Theory and Mathematics top 1%
- Oncology top 10%
- Cancer Research top 5%
- Co-authors
- Corwin HanschAlka KurupCynthia Dias SelassieSanjay KapurSuresh Babu MekapatiAlan J. ShustermanEdwin J. MatthewsJyoti Gupta
- Topics
- Computational Drug Discovery Methods (26 papers)Synthesis and biological activity (16 papers)Free Radicals and Antioxidants (11 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Rajeshwar P. Verma
63 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 862
- Organic Chemistry 835
- Computational Theory and Mathematics 540
- Oncology 412
- Cancer Research 324
Countries citing papers authored by Rajeshwar P. Verma
This map shows the geographic impact of Rajeshwar P. Verma'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 Rajeshwar P. Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajeshwar P. Verma more than expected).
Fields of papers citing papers by Rajeshwar P. Verma
This network shows the impact of papers produced by Rajeshwar P. Verma. 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 Rajeshwar P. Verma. The network helps show where Rajeshwar P. Verma may publish in the future.
Co-authorship network of co-authors of Rajeshwar P. Verma
This figure shows the co-authorship network connecting the top 25 collaborators of Rajeshwar P. Verma. A scholar is included among the top collaborators of Rajeshwar P. Verma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rajeshwar P. Verma. Rajeshwar P. Verma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 56 | |
| 3 | 26 | |
| 4 | 40 | |
| 5 | 25 | |
| 6 | 7 | |
| 7 | 8 | |
| 8 | Matrix metalloproteinases (MMPs): Chemical–biological functions and (Q)SARsbreakdown → | 625 |
| 9 | 18 | |
| 10 | 30 | |
| 11 | 34 | |
| 12 | 130 | |
| 13 | 14 | |
| 14 | 23 | |
| 15 | 62 | |
| 16 | 9 | |
| 17 | 14 | |
| 18 | 84 | |
| 19 | 18 | |
| 20 | 51 |
About Rajeshwar P. Verma
Rajeshwar P. Verma is a scholar working on Chemical Health and Safety, Toxicology and Computational Theory and Mathematics, having authored 64 papers that have together received 2.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (26 papers), Synthesis and biological activity (16 papers) and Free Radicals and Antioxidants (11 papers). The work is most often cited by research in Toxicology (239 citations), Computational Theory and Mathematics (540 citations) and Organic Chemistry (835 citations). Rajeshwar P. Verma has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Corwin Hansch, Alka Kurup, Cynthia Dias Selassie, Sanjay Kapur, Suresh Babu Mekapati, Alan J. Shusterman, Edwin J. Matthews, Jyoti Gupta, Sham M. Sondhi and Litai Zhang. Their work appears in journals such as Chemical Reviews, Chemosphere and Journal of Medicinal 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.