Shashi Thutupalli
- Condensed Matter Physics top 2%
- Biomedical Engineering top 5%
- Computer Networks and Communications top 2%
- Molecular Biology
- Statistical and Nonlinear Physics top 2%
- Co-authors
- Stephan HerminghausErik A. MartensAntoine FourrièreOskar HallatschekRalf SeemannChristian BahrGeert van den BogaartManoj Kumar
- Topics
- Micro and Nano Robotics (13 papers)Pickering emulsions and particle stabilization (6 papers)Lipid Membrane Structure and Behavior (5 papers)
- Cited by
- Condensed Matter PhysicsStatistical and Nonlinear PhysicsComputer Networks and Communications
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersNature Communications
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Shashi Thutupalli
34 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Condensed Matter Physics 732
- Biomedical Engineering 679
- Computer Networks and Communications 582
- Molecular Biology 435
- Statistical and Nonlinear Physics 396
Countries citing papers authored by Shashi Thutupalli
This map shows the geographic impact of Shashi Thutupalli'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 Shashi Thutupalli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shashi Thutupalli more than expected).
Fields of papers citing papers by Shashi Thutupalli
This network shows the impact of papers produced by Shashi Thutupalli. 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 Shashi Thutupalli. The network helps show where Shashi Thutupalli may publish in the future.
Co-authorship network of co-authors of Shashi Thutupalli
This figure shows the co-authorship network connecting the top 25 collaborators of Shashi Thutupalli. A scholar is included among the top collaborators of Shashi Thutupalli 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 Shashi Thutupalli. Shashi Thutupalli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 18 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 9 | |
| 9 | 18 | |
| 10 | 16 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 18 | |
| 14 | 6 | |
| 15 | 69 | |
| 16 | Modulation of Immune Responses by Particle Size and Shapebreakdown → | 204 |
| 17 | 78 | |
| 18 | 18 | |
| 19 | 70 | |
| 20 | 44 |
About Shashi Thutupalli
Shashi Thutupalli is a scholar working on Condensed Matter Physics, Structural Biology and Aging, having authored 37 papers that have together received 2.0k indexed citations. Recurring topics across this work include Micro and Nano Robotics (13 papers), Pickering emulsions and particle stabilization (6 papers) and Lipid Membrane Structure and Behavior (5 papers). The work is most often cited by research in Condensed Matter Physics (732 citations), Statistical and Nonlinear Physics (396 citations) and Computer Networks and Communications (582 citations). Shashi Thutupalli has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Stephan Herminghaus, Erik A. Martens, Antoine Fourrière, Oskar Hallatschek, Ralf Seemann, Christian Bahr, Geert van den Bogaart, Manoj Kumar, Maksim V. Baranov and Stefano Sacanna. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.
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.