Chayan Acharya
Impact in
-
- Computational Drug Discovery Methods
-
- Axon Guidance and Neuronal Signaling
Papers in
- Oncology 6
- Drug Transport and Resistance Mechanisms 5
- Co-authors
- Alexander D. MacKerell (8 shared papers)James E. Polli (7 shared papers)Andrew Coop (2 shared papers)Mats O. Karlsson (3 shared papers)Ruben Abagyan (2 shared papers)Andrew C. Hooker (2 shared papers)Siv Jönsson (1 shared paper)Michael D. Purdy (1 shared paper)
- Journals
- Molecular Pharmaceutics (2 papers)The AAPS Journal (2 papers)Pharmaceutical Research (1 paper)Journal of Pharmaceutical Sciences (1 paper)The Journal of Clinical Pharmacology (1 paper)
- Partner nations
- United StatesSwedenRussia
In The Last Decade
Chayan Acharya
16 papers receiving 599 citations
Peers
Comparison fields: 5 of 89
- Computational Theory and Mathematics 146
- Cellular and Molecular Neuroscience 98
- Molecular Biology 330
- Pharmacology 41
- Oncology 107
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 | 191 | |
| 2 | 2016 | 114 | |
| 3 | 2012 | 102 | |
| 4 | 2016 | 54 | |
| 5 | 2015 | 22 | |
| 6 | 2010 | 20 | |
| 7 | 2010 | 18 | |
| 8 | 2009 | 17 | |
| 9 | 2018 | 16 | |
| 10 | 2010 | 15 | |
| 11 | 2008 | 15 | |
| 12 | 2014 | 9 | |
| 13 | 2011 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2022 | 3 | |
| 16 | 2010 | 2 |
About Chayan Acharya
Chayan Acharya is a scholar working on Molecular Biology, Oncology, Pharmacology, Organic Chemistry and Pediatrics, Perinatology and Child Health, having authored 16 papers that have together received 611 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (5 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Pharmacological Effects and Toxicity Studies (2 papers), Drug Solubulity and Delivery Systems (2 papers), Computational Drug Discovery Methods (2 papers), Analytical Chemistry and Chromatography (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Computational Theory and Mathematics (146 citations), Cellular and Molecular Neuroscience (98 citations), Molecular Biology (330 citations), Pharmacology (41 citations) and Oncology (107 citations). Chayan Acharya has collaborated with scholars based in United States, Sweden and Russia. Frequent co-authors include Alexander D. MacKerell, James E. Polli, Andrew Coop, Mats O. Karlsson, Ruben Abagyan, Andrew C. Hooker, Siv Jönsson, Michael D. Purdy, Raymond C. Stevens and B. Bennett. Their work appears in journals such as Molecular Pharmaceutics, The AAPS Journal, Pharmaceutical Research, Journal of Pharmaceutical Sciences 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.