Sapan Shah
- Computational Theory and Mathematics top 10%
- Molecular Biology
- Analytical Chemistry
- Pharmacology
- Pharmacology
- Co-authors
- Subhash R. YendeSumit AroraChetan Hasmukh MehtaUsha Y. NayakVijay H. MasandNitin B. CharbeRahul D. JawarkarSami A. Al‐Hussain
- Topics
- Computational Drug Discovery Methods (8 papers)Diverse Scientific Research Studies (4 papers)Analytical Methods in Pharmaceuticals (4 papers)
- Journals
- Journal of the American College of CardiologyScientific ReportsJournal of Biomolecular Structure and Dynamics
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Sapan Shah
16 papers receiving 131 citations
Peers
Comparison fields: 5 of 57
- Computational Theory and Mathematics 41
- Molecular Biology 34
- Analytical Chemistry 30
- Pharmacology 24
- Pharmacology 23
Countries citing papers authored by Sapan Shah
This map shows the geographic impact of Sapan Shah'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 Sapan Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sapan Shah more than expected).
Fields of papers citing papers by Sapan Shah
This network shows the impact of papers produced by Sapan Shah. 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 Sapan Shah. The network helps show where Sapan Shah may publish in the future.
Co-authorship network of co-authors of Sapan Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Sapan Shah. A scholar is included among the top collaborators of Sapan Shah 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 Sapan Shah. Sapan Shah 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 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 19 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 18 | |
| 13 | 12 | |
| 14 | 29 | |
| 15 | 34 | |
| 16 | Development of RP-HPLC Method for Simultaneous Estimation of Alprazolam and Fluoxetine Hydrochloride in Pharmaceutical Tablet Dosage Form | 2 |
| 17 | Spectrophotometric Method for Simultaneous Estimation of Olmesartan Medoxomil and Amlodipine Besylate in Pharmaceutical Preparations | 1 |
| 18 | Development of RP-HPLC Method for Simultaneous Estimation of Atorvastatin Calcium and Clopidogrel Bisulphate in a Pharmaceutical Capsule Dosage Form | 6 |
| 19 | 0 |
About Sapan Shah
Sapan Shah is a scholar working on Toxicology, Computational Theory and Mathematics and Analytical Chemistry, having authored 19 papers that have together received 137 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Diverse Scientific Research Studies (4 papers) and Analytical Methods in Pharmaceuticals (4 papers). The work is most often cited by research in Analytical Chemistry (30 citations), Pharmacology (23 citations) and Computational Theory and Mathematics (41 citations). Sapan Shah has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Subhash R. Yende, Sumit Arora, Chetan Hasmukh Mehta, Usha Y. Nayak, Vijay H. Masand, Nitin B. Charbe, Rahul D. Jawarkar, Sami A. Al‐Hussain, Kartik T. Nakhate and Sandip D. Firke. Their work appears in journals such as Journal of the American College of Cardiology, Scientific Reports and Journal of Biomolecular Structure and Dynamics.
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.