Sailesh A. Varia
- Pharmaceutical Science top 0.5%
- Molecular Biology
- Materials Chemistry
- Analytical Chemistry top 5%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Ajit S. NarangAbu T.M. SerajuddinDivyakant DesaiM. FakesSunanda A. RanadiveKenneth R. MorrisAjit B. ThakurRavindra W. Tejwani
- Topics
- Drug Solubulity and Delivery Systems (14 papers)Analytical Methods in Pharmaceuticals (8 papers)Pharmaceutical studies and practices (6 papers)
- Journals
- Advanced Drug Delivery ReviewsInternational Journal of PharmaceuticsJournal of Pharmaceutical Sciences
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Sailesh A. Varia
32 papers receiving 980 citations
Peers
Comparison fields: 5 of 116
- Pharmaceutical Science 480
- Molecular Biology 225
- Materials Chemistry 196
- Analytical Chemistry 155
- Pediatrics, Perinatology and Child Health 146
Countries citing papers authored by Sailesh A. Varia
This map shows the geographic impact of Sailesh A. Varia'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 Sailesh A. Varia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sailesh A. Varia more than expected).
Fields of papers citing papers by Sailesh A. Varia
This network shows the impact of papers produced by Sailesh A. Varia. 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 Sailesh A. Varia. The network helps show where Sailesh A. Varia may publish in the future.
Co-authorship network of co-authors of Sailesh A. Varia
This figure shows the co-authorship network connecting the top 25 collaborators of Sailesh A. Varia. A scholar is included among the top collaborators of Sailesh A. Varia 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 Sailesh A. Varia. Sailesh A. Varia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 36 | |
| 3 | 21 | |
| 4 | 6 | |
| 5 | 17 | |
| 6 | 54 | |
| 7 | 42 | |
| 8 | 54 | |
| 9 | 110 | |
| 10 | Comprehensive determination of extractables from five different brands of stoppers used for injectable products. | 4 |
| 11 | 113 | |
| 12 | 26 | |
| 13 | 145 | |
| 14 | 7 | |
| 15 | 5 | |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 5 | |
| 19 | Effects of variations in physicochemical properties of glyceryl monostearate on the stability of an oil-in- | 3 |
| 20 | 11 |
About Sailesh A. Varia
Sailesh A. Varia is a scholar working on Pharmaceutical Science, Analytical Chemistry and Pharmacology, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (14 papers), Analytical Methods in Pharmaceuticals (8 papers) and Pharmaceutical studies and practices (6 papers). The work is most often cited by research in Pharmaceutical Science (480 citations), Analytical Chemistry (155 citations) and Pediatrics, Perinatology and Child Health (146 citations). Sailesh A. Varia has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Ajit S. Narang, Abu T.M. Serajuddin, Divyakant Desai, M. Fakes, Sunanda A. Ranadive, Kenneth R. Morris, Ajit B. Thakur, Ravindra W. Tejwani, Hemant Joshi and Kenneth B. Sloan. Their work appears in journals such as Advanced Drug Delivery Reviews, International Journal of Pharmaceutics and Journal of Pharmaceutical Sciences.
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.