Parind M. Desai

22 total papers · 991 total citations
21 papers, 764 citations indexed

About

Parind M. Desai is a scholar working on Pharmaceutical Science, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Parind M. Desai has authored 21 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pharmaceutical Science, 9 papers in Mechanical Engineering and 5 papers in Computational Mechanics. Recurrent topics in Parind M. Desai's work include Drug Solubulity and Delivery Systems (12 papers), Injection Molding Process and Properties (5 papers) and Crystallization and Solubility Studies (4 papers). Parind M. Desai is often cited by papers focused on Drug Solubulity and Delivery Systems (12 papers), Injection Molding Process and Properties (5 papers) and Crystallization and Solubility Studies (4 papers). Parind M. Desai collaborates with scholars based in United States, Singapore and United Kingdom. Parind M. Desai's co-authors include Paul Wan Sia Heng, Celine Valeria Liew, Lai Wah Chan, Jung‐Hoon Chun, Vibha Puri, Bernhardt L. Trout, Keith D. Jensen, Allan S. Myerson, Zhi Hui Loh and David Brancazio and has published in prestigious journals such as International Journal of Pharmaceutics, Journal of Pharmaceutical Sciences and Journal of Food Engineering.

In The Last Decade

Parind M. Desai

21 papers receiving 747 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Parind M. Desai 369 242 129 125 122 21 764
Y. Pourcelot 376 1.0× 155 0.6× 69 0.5× 124 1.0× 62 0.5× 24 719
Mobin A. Tawakkul 285 0.8× 164 0.7× 59 0.5× 92 0.7× 61 0.5× 13 736
Du Hyung Choi 386 1.0× 118 0.5× 180 1.4× 112 0.9× 130 1.1× 44 902
Ampol Mitrevej 434 1.2× 169 0.7× 155 1.2× 79 0.6× 79 0.6× 32 889
Maryam Maghsoodi 418 1.1× 172 0.7× 110 0.9× 263 2.1× 69 0.6× 50 697
Brian Carlin 410 1.1× 152 0.6× 67 0.5× 79 0.6× 140 1.1× 17 848
Nikolett Kállai‐Szabó 277 0.8× 126 0.5× 118 0.9× 91 0.7× 176 1.4× 37 819
Sonia Iurian 200 0.5× 142 0.6× 74 0.6× 52 0.4× 114 0.9× 45 731
Iyad Rashid 320 0.9× 182 0.8× 61 0.5× 81 0.6× 68 0.6× 30 735
Roghayeh Abedi Karjiban 211 0.6× 278 1.1× 177 1.4× 89 0.7× 99 0.8× 33 836

Countries citing papers authored by Parind M. Desai

Since Specialization
Citations

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

Fields of papers citing papers by Parind M. Desai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parind M. Desai

This figure shows the co-authorship network connecting the top 25 collaborators of Parind M. Desai. A scholar is included among the top collaborators of Parind M. Desai 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 Parind M. Desai. Parind M. Desai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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