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
- Connexins and lens biology
Papers in
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- Protein Structure and Dynamics 4
- Lipid Membrane Structure and Behavior 4
- Genomics, phytochemicals, and oxidative stress 2
- Nicotinic Acetylcholine Receptors Study 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)Christian Schröder (3 shared papers)Esther Heid (3 shared papers)
- Journals
- Journal of Chemical Theory and Computation (4 papers)Biophysical Journal (4 papers)The Journal of General Physiology (1 paper)Phytomedicine (1 paper)Journal of Computational Chemistry (1 paper)
- Partner nations
- United StatesAustriaChile
In The Last Decade
Payal Chatterjee
19 papers receiving 323 citations
Peers
Comparison fields: 5 of 85
- Computational Theory and Mathematics 60
- Molecular Biology 201
- Geriatrics and Gerontology 9
- Catalysis 16
- Physical and Theoretical Chemistry 20
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 | 2018 | 44 | |
| 2 | 2017 | 44 | |
| 3 | 2019 | 39 | |
| 4 | 2021 | 39 | |
| 5 | 2023 | 27 | |
| 6 | 2019 | 23 | |
| 7 | 2022 | 19 | |
| 8 | 2017 | 18 | |
| 9 | 2022 | 17 | |
| 10 | 2018 | 15 | |
| 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 | 2016 | 1 | |
| 20 | 2018 | 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 328 indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (5 papers), Protein Structure and Dynamics (4 papers), Lipid Membrane Structure and Behavior (4 papers), Molecular spectroscopy and chirality (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Computational Drug Discovery Methods (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers) and Sirtuins and Resveratrol in Medicine (2 papers). The work is most often cited by research in Computational Theory and Mathematics (60 citations), Molecular Biology (201 citations), Geriatrics and Gerontology (9 citations), Catalysis (16 citations) and Physical and Theoretical Chemistry (20 citations). Payal Chatterjee has collaborated with scholars based in United States, Austria and Chile. Frequent co-authors include Yun Luo, Alexander D. MacKerell, Han Zhang, Wesley M. Botello‐Smith, Anmol Kumar, Wenjuan Jiang, Christian Schröder, Esther Heid, Jérôme J. Lacroix and Maria P. Lambros. Their work appears in journals such as Journal of Chemical Theory and Computation, Biophysical Journal, The Journal of General Physiology, Phytomedicine and Journal of Computational Chemistry.
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.