Arvind Pillai
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- Photosynthetic Processes and Mechanisms
- RNA modifications and cancer
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- Hemoglobin structure and function
Papers in
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- Protein Structure and Dynamics 5
- RNA and protein synthesis mechanisms 2
- Photosynthetic Processes and Mechanisms 1
- Genomics and Phylogenetic Studies 1
- Microbial Metabolic Engineering and Bioproduction 1
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- Enzyme Structure and Function 3
- Co-authors
- Georg Hochberg (5 shared papers)Joseph W. Thornton (5 shared papers)Arthur Laganowsky (3 shared papers)Justin L. P. Benesch (2 shared papers)Anthony V. Signore (2 shared papers)Yang Liu (2 shared papers)Jay F. Storz (2 shared papers)Shane A. Chandler (2 shared papers)
- Journals
- Nature (3 papers)Nature Communications (1 paper)Protein Science (1 paper)Cell Reports (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Arvind Pillai
7 papers receiving 204 citations
Arvind Pillai's Hit Papers
Peers
Comparison fields: 5 of 62
- Molecular Biology 145
- Cell Biology 30
- Structural Biology 2
- Biomaterials 11
- Biochemistry 5
Countries citing papers authored by Arvind Pillai
This map shows the geographic impact of Arvind Pillai'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 Arvind Pillai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Pillai more than expected).
Fields of papers citing papers by Arvind Pillai
This network shows the impact of papers produced by Arvind Pillai. 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 Arvind Pillai. The network helps show where Arvind Pillai may publish in the future.
Co-authors
The 25 scholars most cited alongside Arvind Pillai, 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 | 2020 | 104 | |
| 2 | De novo design of allosterically switchable protein assemblies Hit paper breakdown → | 2024 | 41 |
| 3 | 2022 | 28 | |
| 4 | 2023 | 25 | |
| 5 | 2025 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2020 | 1 |
About Arvind Pillai
Arvind Pillai is a scholar working on Molecular Biology, Materials Chemistry, Cell Biology, Physiology and Infectious Diseases, having authored 7 papers that have together received 205 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Enzyme Structure and Function (3 papers), RNA and protein synthesis mechanisms (2 papers), Hemoglobin structure and function (2 papers), Erythrocyte Function and Pathophysiology (1 paper), Photosynthetic Processes and Mechanisms (1 paper), Genomics and Phylogenetic Studies (1 paper) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Molecular Biology (145 citations), Cell Biology (30 citations), Structural Biology (2 citations), Biomaterials (11 citations) and Biochemistry (5 citations). Arvind Pillai has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Georg Hochberg, Joseph W. Thornton, Arthur Laganowsky, Justin L. P. Benesch, Anthony V. Signore, Yang Liu, Jay F. Storz, Shane A. Chandler, Florian Praetorius and Connor Weidle. Their work appears in journals such as Nature, Nature Communications, Protein Science, Cell Reports and Proceedings of the National Academy of Sciences.
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.