Pushkar P. Lele
Impact in
- Condensed Matter Physics top 5%
- Micro and Nano Robotics
- Endocrinology top 10%
Papers in
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- Lipid Membrane Structure and Behavior 6
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- Micro and Nano Robotics 12
- Co-authors
- Howard C. Berg (6 shared papers)Basarab G. Hosu (1 shared paper)Eric M. Furst (5 shared papers)Manish Mittal (2 shared papers)Abhishek Shrivastava (3 shared papers)Norman J. Wagner (2 shared papers)Eric W. Kaler (1 shared paper)Tanmay P. Lele (6 shared papers)
- Journals
- Biophysical Journal (3 papers)Proceedings of the National Academy of Sciences (3 papers)Nature Communications (2 papers)Journal of Visualized Experiments (2 papers)Langmuir (2 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Pushkar P. Lele
31 papers receiving 986 citations
Peers
Comparison fields: 5 of 98
- Condensed Matter Physics 256
- Endocrinology 61
- Genetics 229
- Cellular and Molecular Neuroscience 138
- Molecular Biology 507
Countries citing papers authored by Pushkar P. Lele
This map shows the geographic impact of Pushkar P. Lele'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 Pushkar P. Lele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pushkar P. Lele more than expected).
Fields of papers citing papers by Pushkar P. Lele
This network shows the impact of papers produced by Pushkar P. Lele. 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 Pushkar P. Lele. The network helps show where Pushkar P. Lele may publish in the future.
Co-authors
The 25 scholars most cited alongside Pushkar P. Lele, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 230 | |
| 2 | 2008 | 92 | |
| 3 | 2009 | 85 | |
| 4 | 2012 | 76 | |
| 5 | 2015 | 51 | |
| 6 | 2020 | 49 | |
| 7 | 2019 | 47 | |
| 8 | 2017 | 45 | |
| 9 | 2009 | 33 | |
| 10 | 2011 | 32 | |
| 11 | 2008 | 29 | |
| 12 | 2021 | 28 | |
| 13 | 2015 | 25 | |
| 14 | 2015 | 20 | |
| 15 | 2021 | 17 | |
| 16 | 2012 | 16 | |
| 17 | 2022 | 15 | |
| 18 | 2024 | 13 | |
| 19 | 2019 | 13 | |
| 20 | 2015 | 13 |
About Pushkar P. Lele
Pushkar P. Lele is a scholar working on Molecular Biology, Condensed Matter Physics, Biomedical Engineering, Cellular and Molecular Neuroscience and Genetics, having authored 34 papers that have together received 994 indexed citations. Recurring topics across this work include Micro and Nano Robotics (12 papers), Microfluidic and Bio-sensing Technologies (10 papers), Photoreceptor and optogenetics research (8 papers), Bacterial Genetics and Biotechnology (7 papers), Lipid Membrane Structure and Behavior (6 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Pickering emulsions and particle stabilization (3 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Condensed Matter Physics (256 citations), Endocrinology (61 citations), Genetics (229 citations), Cellular and Molecular Neuroscience (138 citations) and Molecular Biology (507 citations). Pushkar P. Lele has collaborated with scholars based in United States, China and India. Frequent co-authors include Howard C. Berg, Basarab G. Hosu, Eric M. Furst, Manish Mittal, Abhishek Shrivastava, Norman J. Wagner, Eric W. Kaler, Tanmay P. Lele, Richard W. Branch and Florian Nettesheim. Their work appears in journals such as Biophysical Journal, Proceedings of the National Academy of Sciences, Nature Communications, Journal of Visualized Experiments and Langmuir.
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.