Pradeep Sathe

1.3k citations
11 papers · 1.0k indexed · 1 hit paper · h-index 10

Pradeep Sathe

10 papers receiving 961 citations

Hit Papers

In Vitro Dissolution Profile Comparison—Statistics and An...5801998202620072016100200300400500

Peers

Pradeep Sathe
Comparison fields: 5 of 114
  • Pharmaceutical Science 670
  • Analytical Chemistry 211
  • Statistics and Probability 64
  • Spectroscopy 102
  • Biomaterials 77
Replace Gurvinder Singh Rekhi with:
Gurvinder Singh Rekhi United States
Jelena Parojčić Serbia
Nobuo Aoyagi Japan
J. W. Moore United Kingdom
Larry L. Augsburger United States
Naveen Ahuja India
Muhammad J. Habib United States
Zorica Djurić Serbia
Joseph B. Schwartz United States
F. Langenbucher Switzerland
Pradeep Sathe relative to Gurvinder Singh Rekhi United States Gurvinder Singh Rekhi's profile →
Citations per field
00.5×3.0×
Gurvinder Singh Rekhi · 1×
Citations per year

Countries citing papers authored by Pradeep Sathe

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Pradeep Sathe Line = papers co-authored together Pradeep Sathe links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201313
2 200823
3 20081
4 200332
5 199919
6 199952
7
In Vitro Dissolution Profile Comparison—Statistics and Analysis of the Similarity Factor, f2breakdown →
1998580
8 199712
9 1997110
10 1996107
11 199668

About Pradeep Sathe

Pradeep Sathe is a scholar working on Pharmaceutical Science, Statistics and Probability, Occupational Therapy, Analytical Chemistry and Pharmacology, 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), Polysaccharides Composition and Applications (1 paper), Antibiotics Pharmacokinetics and Efficacy (1 paper), Plant Surface Properties and Treatments (1 paper), Pharmacogenetics and Drug Metabolism (1 paper) and Optimal Experimental Design Methods (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, Henry Malinowski, Larry Ouderkirk and Suva Roy. 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.

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