Pradeep Sathe
Impact in
- Pharmaceutical Science top 0.5%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
- Advancements in Transdermal Drug Delivery
- Analytical Chemistry top 2%
- Analytical Methods in Pharmaceuticals
Papers in
-
- Drug Solubulity and Delivery Systems 7
- Advanced Drug Delivery Systems 1
-
- Crystallization and Solubility Studies 3
- Co-authors
- Vinod P. Shah (6 shared papers)Yi Tsong (4 shared papers)Jen‐pei Liu (1 shared paper)Jürgen Venitz (2 shared papers)Roger Williams (2 shared papers)Thomas Hammerstrom (1 shared paper)Lawrence J. Lesko (2 shared papers)Larry Ouderkirk (1 shared paper)
- Journals
- Pharmaceutical Research (3 papers)AAPS PharmSciTech (2 papers)Dissolution Technologies (2 papers)Advances in experimental medicine and biology (1 paper)Drug Information Journal (1 paper)
- Partner nations
- United StatesTaiwan
In The Last Decade
Pradeep Sathe
10 papers receiving 961 citations
Pradeep Sathe's Hit Papers
Peers
Comparison fields: 5 of 114
- Pharmaceutical Science 670
- Analytical Chemistry 211
- Statistics and Probability 64
- Spectroscopy 102
- Biomaterials 77
Countries citing papers authored by Pradeep Sathe
This map shows the geographic impact of Pradeep Sathe'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 Pradeep Sathe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradeep Sathe more than expected).
Fields of papers citing papers by Pradeep Sathe
This network shows the impact of papers produced by Pradeep Sathe. 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 Pradeep Sathe. The network helps show where Pradeep Sathe may publish in the future.
Co-authors
The 25 scholars most cited alongside Pradeep Sathe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | In Vitro Dissolution Profile Comparison—Statistics and Analysis of the Similarity Factor, f2 Hit paper breakdown → | 1998 | 580 |
| 2 | 1997 | 110 | |
| 3 | 1996 | 107 | |
| 4 | 1996 | 68 | |
| 5 | 1999 | 52 | |
| 6 | 2003 | 32 | |
| 7 | 2008 | 23 | |
| 8 | 1999 | 19 | |
| 9 | 2013 | 13 | |
| 10 | 1997 | 12 | |
| 11 | 2008 | 1 |
About Pradeep Sathe
Pradeep Sathe is a scholar working on Pharmaceutical Science, Materials Chemistry, Analytical Chemistry, Statistics and Probability and Molecular Biology, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (7 papers), Crystallization and Solubility Studies (3 papers), Statistical Methods in Clinical Trials (2 papers), Analytical Methods in Pharmaceuticals (1 paper), Plant Surface Properties and Treatments (1 paper), Advanced Drug Delivery Systems (1 paper), Safe Handling of Antineoplastic Drugs (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Pharmaceutical Science (670 citations), Analytical Chemistry (211 citations), Statistics and Probability (64 citations), Spectroscopy (102 citations) and Biomaterials (77 citations). Pradeep Sathe has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Vinod P. Shah, Yi Tsong, Jen‐pei Liu, Jürgen Venitz, Roger Williams, Thomas Hammerstrom, Lawrence J. Lesko, Larry Ouderkirk, Gur Jai Pal Singh and Lloyd Tillman. Their work appears in journals such as Pharmaceutical Research, AAPS PharmSciTech, Dissolution Technologies, Advances in experimental medicine and biology and Drug Information Journal.
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.