Chitrangada Acharya
Impact in
- Biomaterials top 1%
- Silk-based biomaterials and applications
- Molecular Biology top 2%
- Protein Structure and Dynamics
- Lipid Membrane Structure and Behavior
- Receptor Mechanisms and Signaling
Papers in
-
- Polymer Surface Interaction Studies 5
-
- Silk-based biomaterials and applications 8
- Co-authors
- Subhas C. KunduElizabeth HatcherIgor VorobyovAlexander D. MacKerellEva DarianOlgun GuvenchJ. ShimShan Zhong
- Journals
- Biomaterials (3 papers)Cartilage (1 paper)Gene (1 paper)Tissue Engineering Part C Methods (1 paper)BMB Reports (1 paper)
- Partner nations
- IndiaUnited StatesSwitzerland
In The Last Decade
Chitrangada Acharya
21 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Biomaterials 880
- Molecular Biology 3.6k
- Computational Theory and Mathematics 790
- Physical and Theoretical Chemistry 305
- Spectroscopy 468
Countries citing papers authored by Chitrangada Acharya
This map shows the geographic impact of Chitrangada Acharya'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 Chitrangada Acharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chitrangada Acharya more than expected).
Fields of papers citing papers by Chitrangada Acharya
This network shows the impact of papers produced by Chitrangada Acharya. 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 Chitrangada Acharya. The network helps show where Chitrangada Acharya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chitrangada Acharya, 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 | 2016 | 18 | |
| 2 | 2014 | 117 | |
| 3 | 2014 | 7 | |
| 4 | 2013 | 54 | |
| 5 | 2013 | 4 | |
| 6 | 2012 | 157 | |
| 7 | 2011 | 66 | |
| 8 | 2011 | 203 | |
| 9 | 2010 | 146 | |
| 10 | 2009 | 23 | |
| 11 | CHARMM general force field: A force field for drug‐like molecules compatible with the CHARMM all‐atom additive biological force fields Hit paper breakdown → | 2009 | 5554 |
| 12 | 2009 | 10 | |
| 13 | 2008 | 48 | |
| 14 | 2008 | 173 | |
| 15 | 2008 | 106 | |
| 16 | 2008 | 105 | |
| 17 | 2008 | 84 | |
| 18 | 2008 | 5 | |
| 19 | 2007 | 26 | |
| 20 | 2006 | 26 |
About Chitrangada Acharya
Chitrangada Acharya is a scholar working on Surfaces, Coatings and Films, Biomaterials, Microbiology, Rheumatology and Immunology and Allergy, having authored 21 papers that have together received 7.0k indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (8 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Polymer Surface Interaction Studies (5 papers), Antimicrobial Peptides and Activities (3 papers), Virus-based gene therapy research (2 papers), Cell Adhesion Molecules Research (2 papers), 3D Printing in Biomedical Research (2 papers) and Silkworms and Sericulture Research (2 papers). The work is most often cited by research in Biomaterials (880 citations), Molecular Biology (3.6k citations), Computational Theory and Mathematics (790 citations), Physical and Theoretical Chemistry (305 citations) and Spectroscopy (468 citations). Chitrangada Acharya has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include Subhas C. Kundu, Elizabeth Hatcher, Igor Vorobyov, Alexander D. MacKerell, Eva Darian, Olgun Guvench, J. Shim, Shan Zhong, Kenno Vanommeslaeghe and Pedro E. M. Lopes. Their work appears in journals such as Biomaterials, Cartilage, Gene, Tissue Engineering Part C Methods and BMB Reports.
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.