Prasanna A. Datar

41 total papers · 734 total citations
31 papers, 597 citations indexed

About

Prasanna A. Datar is a scholar working on Organic Chemistry, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Prasanna A. Datar has authored 31 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Organic Chemistry, 9 papers in Molecular Biology and 9 papers in Computational Theory and Mathematics. Recurrent topics in Prasanna A. Datar's work include Synthesis and biological activity (13 papers), Computational Drug Discovery Methods (9 papers) and Analytical Methods in Pharmaceuticals (8 papers). Prasanna A. Datar is often cited by papers focused on Synthesis and biological activity (13 papers), Computational Drug Discovery Methods (9 papers) and Analytical Methods in Pharmaceuticals (8 papers). Prasanna A. Datar collaborates with scholars based in India. Prasanna A. Datar's co-authors include Evans C. Coutinho, Sudha Srivastava, Girjesh Govil, Anupa A. Kumbhar, Rajendra Joshi, Vedavati G. Puranik, Uddhavesh B. Sonawane, Avinash S. Kumbhar, Prashant Desai and Santosh A. Khedkar and has published in prestigious journals such as Journal of Inorganic Biochemistry, Current Topics in Medicinal Chemistry and Journal of Computer-Aided Molecular Design.

In The Last Decade

Prasanna A. Datar

28 papers receiving 574 citations

Author Peers

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

Author Last Decade Papers Cites
Prasanna A. Datar 300 203 120 106 60 31 597
Céline Deraeve 224 0.7× 304 1.5× 120 1.0× 59 0.6× 26 0.4× 23 697
Pedro de Sena Murteira Pinheiro 303 1.0× 274 1.3× 70 0.6× 135 1.3× 30 0.5× 29 645
Mehmet Özbil 98 0.3× 241 1.2× 85 0.7× 85 0.8× 55 0.9× 33 651
Stephen P. East 314 1.0× 271 1.3× 57 0.5× 43 0.4× 70 1.2× 22 690
Jegadeesan Vaigunda Ragavendran 284 0.9× 163 0.8× 77 0.6× 30 0.3× 93 1.6× 19 559
Jorge Alí‐Torres 130 0.4× 144 0.7× 109 0.9× 118 1.1× 18 0.3× 44 516
Sujata K. Dass 216 0.7× 191 0.9× 61 0.5× 99 0.9× 13 0.2× 32 675
Russell A. Lewthwaite 251 0.8× 341 1.7× 49 0.4× 53 0.5× 115 1.9× 19 629
Jaime N. Delgado 330 1.1× 208 1.0× 56 0.5× 41 0.4× 47 0.8× 17 687
Eugene A. Coats 183 0.6× 265 1.3× 70 0.6× 105 1.0× 24 0.4× 28 538

Countries citing papers authored by Prasanna A. Datar

Since Specialization
Citations

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

Fields of papers citing papers by Prasanna A. Datar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prasanna A. Datar. 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 Prasanna A. Datar. The network helps show where Prasanna A. Datar may publish in the future.

Co-authorship network of co-authors of Prasanna A. Datar

This figure shows the co-authorship network connecting the top 25 collaborators of Prasanna A. Datar. A scholar is included among the top collaborators of Prasanna A. Datar 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 Prasanna A. Datar. Prasanna A. Datar 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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