Padmini Rangamani
Impact in
- Cell Biology top 1%
- Cellular Mechanics and Interactions
- Cellular transport and secretion
- Biophysics top 1%
Papers in
- Cell Biology 62
- Cellular Mechanics and Interactions 34
- Cellular transport and secretion 26
- Biophysics 13
- Co-authors
- George OsterRavi IyengarHaleh AlimohamadiJeanne C. StachowiakAtul N. ParikhDavid G. DrubinBo LiedbergStephanie I. Fraley
- Journals
- Biophysical Journal (33 papers)PLoS Computational Biology (8 papers)Proceedings of the National Academy of Sciences (7 papers)Soft Matter (6 papers)npj Systems Biology and Applications (5 papers)
- Partner nations
- United StatesNorwaySingapore
In The Last Decade
Padmini Rangamani
131 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 162
- Cell Biology 1.1k
- Biophysics 228
- Molecular Biology 2.1k
- Cellular and Molecular Neuroscience 479
- Structural Biology 19
Countries citing papers authored by Padmini Rangamani
This map shows the geographic impact of Padmini Rangamani'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 Padmini Rangamani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Padmini Rangamani more than expected).
Fields of papers citing papers by Padmini Rangamani
This network shows the impact of papers produced by Padmini Rangamani. 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 Padmini Rangamani. The network helps show where Padmini Rangamani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Padmini Rangamani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 24 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 143 | |
| 14 | 2020 | 3 | |
| 15 | 2020 | 42 | |
| 16 | 2019 | 18 | |
| 17 | 2019 | 6 | |
| 18 | 2017 | 124 | |
| 19 | 2017 | 113 | |
| 20 | 2016 | 40 |
About Padmini Rangamani
Padmini Rangamani is a scholar working on Cell Biology, Biophysics, Cellular and Molecular Neuroscience, Molecular Biology and Aging, having authored 137 papers that have together received 3.4k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (48 papers), Cellular Mechanics and Interactions (34 papers), Cellular transport and secretion (26 papers), Force Microscopy Techniques and Applications (21 papers), Neuroscience and Neuropharmacology Research (21 papers), Photoreceptor and optogenetics research (14 papers), Receptor Mechanisms and Signaling (13 papers) and Erythrocyte Function and Pathophysiology (12 papers). The work is most often cited by research in Cell Biology (1.1k citations), Biophysics (228 citations), Molecular Biology (2.1k citations), Cellular and Molecular Neuroscience (479 citations) and Structural Biology (19 citations). Padmini Rangamani has collaborated with scholars based in United States, Norway and Singapore. Frequent co-authors include George Oster, Ravi Iyengar, Haleh Alimohamadi, Jeanne C. Stachowiak, Atul N. Parikh, David G. Drubin, Bo Liedberg, Stephanie I. Fraley, Morgan Chabanon and Susana R. Neves. Their work appears in journals such as Biophysical Journal, PLoS Computational Biology, Proceedings of the National Academy of Sciences, Soft Matter and npj Systems Biology and Applications.
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.