Rewati Potkar

8 total papers · 903 total citations
6 papers, 772 citations indexed

About

Rewati Potkar is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Rewati Potkar has authored 6 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 2 papers in Physiology. Recurrent topics in Rewati Potkar's work include Neuropeptides and Animal Physiology (2 papers), Alzheimer's disease research and treatments (2 papers) and Supramolecular Self-Assembly in Materials (1 paper). Rewati Potkar is often cited by papers focused on Neuropeptides and Animal Physiology (2 papers), Alzheimer's disease research and treatments (2 papers) and Supramolecular Self-Assembly in Materials (1 paper). Rewati Potkar collaborates with scholars based in United States. Rewati Potkar's co-authors include Anthony Adame, Edward Rockenstein, Brian Spencer, Eliezer Masliah, Christina Patrick, Tony Wyss‐Coray, Margarita Trejo, Robert A. Marr, Fred H. Gage and Leslie Crews and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Rewati Potkar

6 papers receiving 765 citations

Hit Papers

Beclin 1 Gene Transfer Ac... 2009 2026 2014 2020 2009 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Rewati Potkar 310 289 288 231 222 6 772
Jason Schapansky 169 0.5× 361 1.2× 378 1.3× 345 1.5× 189 0.9× 16 899
Erica Barini 378 1.2× 253 0.9× 179 0.6× 400 1.7× 90 0.4× 11 740
Marija Usenovic 122 0.4× 340 1.2× 241 0.8× 245 1.1× 163 0.7× 8 644
Wen Zhu 264 0.9× 130 0.4× 383 1.3× 258 1.1× 258 1.2× 10 798
Carolina Cebrián 214 0.7× 128 0.4× 275 1.0× 198 0.9× 325 1.5× 13 783
Cansu Karabiyik 338 1.1× 148 0.5× 140 0.5× 266 1.2× 92 0.4× 11 657
Brianada Koentjoro 410 1.3× 183 0.6× 331 1.1× 351 1.5× 90 0.4× 6 709
Mona Bains 189 0.6× 99 0.3× 285 1.0× 308 1.3× 168 0.8× 9 765
Marian DiFiglia 334 1.1× 109 0.4× 136 0.5× 251 1.1× 193 0.9× 8 626
Preston Ge 152 0.5× 157 0.5× 357 1.2× 293 1.3× 206 0.9× 6 672

Countries citing papers authored by Rewati Potkar

Since Specialization
Citations

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

Fields of papers citing papers by Rewati Potkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rewati Potkar

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