Naval Kapuriya
- Organic Chemistry top 5%
- Molecular Biology
- Oncology
- Computational Theory and Mathematics top 10%
- Immunology
- Co-authors
- Ching‐Shih ChenSamuel K. KulpYogesh T. NaliaparaTing‐Chao ChouRajesh KakadiyaXiu-Guo ZhangHsiao-Ching ChuangTe‐Chang Lee
- Topics
- Synthesis and biological activity (10 papers)Synthesis and Biological Evaluation (8 papers)Multicomponent Synthesis of Heterocycles (8 papers)
- Cited by
- Organic ChemistryToxicologyOncology
- Journals
- The Journal of Clinical Endocrinology & MetabolismJournal of Medicinal ChemistryEuropean Journal of Pharmacology
- Partner nations
- IndiaUnited StatesTaiwan
In The Last Decade
Naval Kapuriya
37 papers receiving 621 citations
Peers
Comparison fields: 5 of 83
- Organic Chemistry 346
- Molecular Biology 274
- Oncology 119
- Computational Theory and Mathematics 37
- Immunology 37
Countries citing papers authored by Naval Kapuriya
This map shows the geographic impact of Naval Kapuriya'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 Naval Kapuriya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naval Kapuriya more than expected).
Fields of papers citing papers by Naval Kapuriya
This network shows the impact of papers produced by Naval Kapuriya. 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 Naval Kapuriya. The network helps show where Naval Kapuriya may publish in the future.
Co-authorship network of co-authors of Naval Kapuriya
This figure shows the co-authorship network connecting the top 25 collaborators of Naval Kapuriya. A scholar is included among the top collaborators of Naval Kapuriya 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 Naval Kapuriya. Naval Kapuriya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 13 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 23 | |
| 10 | 39 | |
| 11 | Development and validation of a UV spectrophotometric method for the determination of ticagrelor in bulk form | 5 |
| 12 | 17 | |
| 13 | 74 | |
| 14 | 35 | |
| 15 | 27 | |
| 16 | 20 | |
| 17 | 55 | |
| 18 | 58 | |
| 19 | 22 | |
| 20 | 21 |
About Naval Kapuriya
Naval Kapuriya is a scholar working on Toxicology, Organic Chemistry and Analytical Chemistry, having authored 40 papers that have together received 635 indexed citations. Recurring topics across this work include Synthesis and biological activity (10 papers), Synthesis and Biological Evaluation (8 papers) and Multicomponent Synthesis of Heterocycles (8 papers). The work is most often cited by research in Organic Chemistry (346 citations), Toxicology (28 citations) and Oncology (119 citations). Naval Kapuriya has collaborated with scholars based in India, United States and Taiwan. Frequent co-authors include Ching‐Shih Chen, Samuel K. Kulp, Yogesh T. Naliapara, Ting‐Chao Chou, Rajesh Kakadiya, Xiu-Guo Zhang, Hsiao-Ching Chuang, Te‐Chang Lee, Tsann-Long Su and Anamik Shah. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Medicinal Chemistry and European Journal of Pharmacology.
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.