Chayan Acharya
Impact in
-
- Computational Drug Discovery Methods
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
Papers in
- Oncology 6
- Drug Transport and Resistance Mechanisms 5
-
- Drug Solubulity and Delivery Systems 2
- Co-authors
- Alexander D. MacKerell (8 shared papers)James E. Polli (7 shared papers)Andrew J. Coop (2 shared papers)Mats O. Karlsson (3 shared papers)Ruben A Abagyan (2 shared papers)Andrew C. Hooker (2 shared papers)Qinghai Zhang (1 shared paper)Brad C. Bennett (1 shared paper)
- Journals
- The AAPS Journal (2 papers)Molecular Pharmaceutics (2 papers)Journal of Pharmaceutical Sciences (1 paper)Helvetica Chimica Acta (1 paper)The Journal of Clinical Pharmacology (1 paper)
- Partner nations
- United StatesSwedenFrance
In The Last Decade
Chayan Acharya
17 papers receiving 675 citations
Peers
Comparison fields: 5 of 92
- Computational Theory and Mathematics 191
- Pharmacology 48
- Cellular and Molecular Neuroscience 98
- Molecular Biology 365
- Oncology 100
Countries citing papers authored by Chayan Acharya
This map shows the geographic impact of Chayan 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 Chayan Acharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chayan Acharya more than expected).
Fields of papers citing papers by Chayan Acharya
This network shows the impact of papers produced by Chayan 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 Chayan Acharya. The network helps show where Chayan Acharya may publish in the future.
Co-authors
The 25 scholars most cited alongside Chayan 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 | 2010 | 243 | |
| 2 | 2016 | 123 | |
| 3 | 2012 | 107 | |
| 4 | 2016 | 56 | |
| 5 | 2015 | 25 | |
| 6 | 2009 | 22 | |
| 7 | 2010 | 21 | |
| 8 | 2010 | 20 | |
| 9 | 2018 | 18 | |
| 10 | 2008 | 15 | |
| 11 | 2010 | 14 | |
| 12 | 2014 | 11 | |
| 13 | 2011 | 8 | |
| 14 | 2023 | 6 | |
| 15 | 2022 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2010 | 2 |
About Chayan Acharya
Chayan Acharya is a scholar working on Oncology, Pharmaceutical Science, Pharmacology, Pharmacology and Cell Biology, having authored 17 papers that have together received 698 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (5 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Analytical Chemistry and Chromatography (2 papers), Drug Solubulity and Delivery Systems (2 papers), Computational Drug Discovery Methods (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Lipid Membrane Structure and Behavior (1 paper) and Asymmetric Synthesis and Catalysis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (191 citations), Pharmacology (48 citations), Cellular and Molecular Neuroscience (98 citations), Molecular Biology (365 citations) and Oncology (100 citations). Chayan Acharya has collaborated with scholars based in United States, Sweden and France. Frequent co-authors include Alexander D. MacKerell, James E. Polli, Andrew J. Coop, Mats O. Karlsson, Ruben A Abagyan, Andrew C. Hooker, Qinghai Zhang, Brad C. Bennett, Raymond C. Stevens and Michael D. Purdy. Their work appears in journals such as The AAPS Journal, Molecular Pharmaceutics, Journal of Pharmaceutical Sciences, Helvetica Chimica Acta and The Journal of Clinical Pharmacology.
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.