Bappaditya Chandra
Impact in
- Physiology top 10%
- Alzheimer's disease research and treatments
-
- Supramolecular Self-Assembly in Materials
Papers in
-
- Protein Structure and Dynamics 10
- Lipid Membrane Structure and Behavior 3
- RNA Research and Splicing 3
- Physiology 11
- Alzheimer's disease research and treatments 11
- Co-authors
- Sudipta Maiti (11 shared papers)Debanjan Bhowmik (6 shared papers)Perunthiruthy K. Madhu (6 shared papers)Richard W. Kriwacki (3 shared papers)Diana M. Mitrea (1 shared paper)Michele Tolbert (1 shared paper)Mylene C. Ferrolino (1 shared paper)Eric Gibbs (1 shared paper)
- Journals
- Biophysical Journal (3 papers)ACS Chemical Neuroscience (1 paper)Nature Chemistry (1 paper)Chemical Communications (1 paper)ACS Nano (1 paper)
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
Bappaditya Chandra
20 papers receiving 487 citations
Peers
Comparison fields: 5 of 64
- Physiology 214
- Biomaterials 69
- Molecular Biology 323
- Biochemistry 29
- Biophysics 21
Countries citing papers authored by Bappaditya Chandra
This map shows the geographic impact of Bappaditya Chandra'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 Bappaditya Chandra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bappaditya Chandra more than expected).
Fields of papers citing papers by Bappaditya Chandra
This network shows the impact of papers produced by Bappaditya Chandra. 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 Bappaditya Chandra. The network helps show where Bappaditya Chandra may publish in the future.
Co-authors
The 25 scholars most cited alongside Bappaditya Chandra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 123 | |
| 2 | 2014 | 83 | |
| 3 | 2015 | 81 | |
| 4 | 2017 | 35 | |
| 5 | 2018 | 21 | |
| 6 | 2019 | 18 | |
| 7 | 2017 | 16 | |
| 8 | 2017 | 16 | |
| 9 | 2015 | 15 | |
| 10 | 2023 | 15 | |
| 11 | 2017 | 15 | |
| 12 | 1985 | 12 | |
| 13 | 2013 | 10 | |
| 14 | 2017 | 9 | |
| 15 | 2018 | 8 | |
| 16 | 2014 | 4 | |
| 17 | 2017 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 1986 | 2 | |
| 20 | 2014 | 1 |
About Bappaditya Chandra
Bappaditya Chandra is a scholar working on Molecular Biology, Physiology, Materials Chemistry, Biomaterials and Spectroscopy, having authored 21 papers that have together received 490 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Protein Structure and Dynamics (10 papers), Supramolecular Self-Assembly in Materials (4 papers), Advanced NMR Techniques and Applications (3 papers), Lipid Membrane Structure and Behavior (3 papers), RNA Research and Splicing (3 papers), Enzyme Structure and Function (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Physiology (214 citations), Biomaterials (69 citations), Molecular Biology (323 citations), Biochemistry (29 citations) and Biophysics (21 citations). Bappaditya Chandra has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Sudipta Maiti, Debanjan Bhowmik, Perunthiruthy K. Madhu, Richard W. Kriwacki, Diana M. Mitrea, Michele Tolbert, Mylene C. Ferrolino, Eric Gibbs, Michael R. White and Kaustubh R. Mote. Their work appears in journals such as Biophysical Journal, ACS Chemical Neuroscience, Nature Chemistry, Chemical Communications and ACS Nano.
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.