Payal Chatterjee
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- Lipid Membrane Structure and Behavior
- Chemical Synthesis and Analysis
Papers in
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- Lipid Membrane Structure and Behavior 4
- Protein Structure and Dynamics 4
- Glutathione Transferases and Polymorphisms 2
- Connexins and lens biology 2
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- Spectroscopy and Quantum Chemical Studies 5
- Co-authors
- Yun Luo (9 shared papers)Alexander D. MacKerell (8 shared papers)Han Zhang (3 shared papers)Wesley M. Botello‐Smith (5 shared papers)Anmol Kumar (3 shared papers)Wenjuan Jiang (1 shared paper)Esther Heid (3 shared papers)Christian Schröder (3 shared papers)
- Journals
- Biophysical Journal (4 papers)Journal of Chemical Theory and Computation (4 papers)Physical Chemistry Chemical Physics (1 paper)Scientific Reports (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesAustriaChina
In The Last Decade
Payal Chatterjee
19 papers receiving 310 citations
Peers
Comparison fields: 5 of 87
- Computational Theory and Mathematics 63
- Molecular Biology 196
- Catalysis 16
- Physical and Theoretical Chemistry 20
- Organic Chemistry 62
Countries citing papers authored by Payal Chatterjee
This map shows the geographic impact of Payal Chatterjee'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 Payal Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Payal Chatterjee more than expected).
Fields of papers citing papers by Payal Chatterjee
This network shows the impact of papers produced by Payal Chatterjee. 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 Payal Chatterjee. The network helps show where Payal Chatterjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Payal Chatterjee, 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 | 2017 | 44 | |
| 2 | 2018 | 43 | |
| 3 | 2019 | 37 | |
| 4 | 2021 | 36 | |
| 5 | 2019 | 23 | |
| 6 | 2023 | 21 | |
| 7 | 2022 | 19 | |
| 8 | 2017 | 18 | |
| 9 | 2022 | 17 | |
| 10 | 2018 | 14 | |
| 11 | 2017 | 13 | |
| 12 | 2019 | 10 | |
| 13 | 2019 | 8 | |
| 14 | 2023 | 3 | |
| 15 | 2013 | 3 | |
| 16 | 2018 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2016 | 1 |
About Payal Chatterjee
Payal Chatterjee is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Organic Chemistry, Cellular and Molecular Neuroscience and Pharmaceutical Science, having authored 20 papers that have together received 315 indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (5 papers), Lipid Membrane Structure and Behavior (4 papers), Protein Structure and Dynamics (4 papers), Computational Drug Discovery Methods (2 papers), Glutathione Transferases and Polymorphisms (2 papers), Molecular spectroscopy and chirality (2 papers), Sirtuins and Resveratrol in Medicine (2 papers) and Connexins and lens biology (2 papers). The work is most often cited by research in Computational Theory and Mathematics (63 citations), Molecular Biology (196 citations), Catalysis (16 citations), Physical and Theoretical Chemistry (20 citations) and Organic Chemistry (62 citations). Payal Chatterjee has collaborated with scholars based in United States, Austria and China. Frequent co-authors include Yun Luo, Alexander D. MacKerell, Han Zhang, Wesley M. Botello‐Smith, Anmol Kumar, Wenjuan Jiang, Esther Heid, Christian Schröder, Jérôme J. Lacroix and Qian Li. Their work appears in journals such as Biophysical Journal, Journal of Chemical Theory and Computation, Physical Chemistry Chemical Physics, Scientific Reports and Journal of the American Chemical Society.
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.