Prashant Desai

92 papers receiving 3.1k citations

Prashant Desai's Hit Papers

Identification of Telmisartan as a Unique Angiotensin II Receptor Antagonist With Selective PPARγ–Modulating Activity 2004 · 928 citations
9280+7+14Years since publication250500750

Peers

Prashant Desai
Comparison fields: 5 of 141
  • Computational Theory and Mathematics 556
  • Polymers and Plastics 407
  • Biochemistry 153
  • Pharmacology 159
  • Endocrinology, Diabetes and Metabolism 263
Replace Stephen A. Wring with:
Stephen A. Wring United States
Xuan-Yu Meng China
Franco Dosio Italy
Qin Ouyang China
Mi‐Hyun Kim South Korea
Xian Zeng China
Mario Sechi Italy
Do‐Young Yoon South Korea
Xavier Fernàndez‐Busquets Spain
Prashant Desai relative to Stephen A. Wring United States Stephen A. Wring's profile →
Citations per field
00.5×10×13.2×
Stephen A. Wring · 1×
Citations per year

Countries citing papers authored by Prashant Desai

Since Specialization
Citations

This map shows the geographic impact of Prashant Desai'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 Prashant Desai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant Desai more than expected).

Fields of papers citing papers by Prashant Desai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prashant Desai. 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 Prashant Desai. The network helps show where Prashant Desai may publish in the future.

Co-authors

The 25 scholars most cited alongside Prashant Desai, 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 Prashant Desai Line = papers co-authored together Prashant Desai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Identification of Telmisartan as a Unique Angiotensin II Receptor Antagonist With Selective PPARγ–Modulating Activity
Hit paper breakdown →
2004928
2 2017116
3 2012106
4 201994
5 198788
6 200486
7 200379
8 200874
9 201371
10 200563
11 200660
12 200660
13 200656
14 201855
15 200346
16 201644
17 199044
18 200642
19 200640
20 201140

About Prashant Desai

Prashant Desai is a scholar working on Molecular Biology, Polymers and Plastics, Computational Theory and Mathematics, Organic Chemistry and Mechanics of Materials, having authored 93 papers that have together received 3.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (21 papers), Polymer crystallization and properties (15 papers), Fiber-reinforced polymer composites (10 papers), Mechanical Behavior of Composites (9 papers), Pharmacogenetics and Drug Metabolism (8 papers), Malaria Research and Control (8 papers), Polymer Nanocomposites and Properties (7 papers) and Drug Transport and Resistance Mechanisms (6 papers). The work is most often cited by research in Computational Theory and Mathematics (556 citations), Polymers and Plastics (407 citations), Biochemistry (153 citations), Pharmacology (159 citations) and Endocrinology, Diabetes and Metabolism (263 citations). Prashant Desai has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Mitchell A. Avery, A. S. Abhiraman, Amar G. Chittiboyina, Theodore W. Kurtz, Harrihar A. Pershadsingh, Christopher Ho, Stephen C. Benson, Nianning Qi, Jiaming Wang and Michal Pravenec. Their work appears in journals such as Journal of Applied Polymer Science, Journal of Polymer Science Part B Polymer Physics, Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry and Molecular Pharmaceutics.

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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