Vinod P. Shah
- Pharmaceutical Science top 0.01%
- Molecular Biology top 2%
- Analytical Chemistry top 0.02%
- Materials Chemistry top 1%
- Spectroscopy top 0.1%
- Co-authors
- Gordon L. AmidonHans LennernäsJohn R. CrisonJennifer DressmanJerome P. SkellyC.T. ViswanathanAvraham YacobiKamal K. Midha
- Topics
- Drug Solubulity and Delivery Systems (103 papers)Analytical Methods in Pharmaceuticals (73 papers)Pharmaceutical studies and practices (63 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Clinical InvestigationJournal of Controlled Release
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Vinod P. Shah
255 papers receiving 18.4k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Pharmaceutical Science 9.1k
- Molecular Biology 3.4k
- Analytical Chemistry 3.4k
- Materials Chemistry 3.1k
- Spectroscopy 2.8k
Countries citing papers authored by Vinod P. Shah
This map shows the geographic impact of Vinod P. 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 Vinod P. Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinod P. Shah more than expected).
Fields of papers citing papers by Vinod P. Shah
This network shows the impact of papers produced by Vinod P. 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 Vinod P. Shah. The network helps show where Vinod P. Shah may publish in the future.
Co-authorship network of co-authors of Vinod P. Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Vinod P. Shah. A scholar is included among the top collaborators of Vinod P. 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 Vinod P. Shah. Vinod P. 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 | 4 | |
| 2 | 1 | |
| 3 | 26 | |
| 4 | 11 | |
| 5 | 28 | |
| 6 | 48 | |
| 7 | 11 | |
| 8 | 33 | |
| 9 | 15 | |
| 10 | 100 | |
| 11 | 58 | |
| 12 | 45 | |
| 13 | 23 | |
| 14 | 17 | |
| 15 | 38 | |
| 16 | A Theoretical Basis for a Biopharmaceutic Drug Classification: The Correlation of in Vitro Drug Product Dissolution and in Vivo Bioavailabilitybreakdown → | 4159 |
| 17 | 29 | |
| 18 | 4 | |
| 19 | 4 | |
| 20 | 15 |
About Vinod P. Shah
Vinod P. Shah is a scholar working on Pharmaceutical Science, Analytical Chemistry and Pediatrics, Perinatology and Child Health, having authored 259 papers that have together received 19.7k indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (103 papers), Analytical Methods in Pharmaceuticals (73 papers) and Pharmaceutical studies and practices (63 papers). The work is most often cited by research in Pharmaceutical Science (9.1k citations), Analytical Chemistry (3.4k citations) and Pharmacology (1.7k citations). Vinod P. Shah has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Gordon L. Amidon, Hans Lennernäs, John R. Crison, Jennifer Dressman, Jerome P. Skelly, C.T. Viswanathan, Avraham Yacobi, Kamal K. Midha, Hans E. Junginger and D.M. Barends. Their work appears in journals such as Journal of the American Chemical Society, Journal of Clinical Investigation and Journal of Controlled Release.
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.