Atanu Acharya
- Molecular Biology
- Biophysics top 2%
- Materials Chemistry
- Cellular and Molecular Neuroscience top 10%
- Organic Chemistry top 10%
- Co-authors
- Víctor S. BatistaAnna I. KrylovSubhajyoti ChaudhuriKonstantin A. LukyanovAlexey M. BogdanovKsenia B. BravayaBella L. GrigorenkoAlexander V. Nemukhin
- Topics
- Computational Drug Discovery Methods (7 papers)SARS-CoV-2 and COVID-19 Research (6 papers)Protein Structure and Dynamics (6 papers)
- Journals
- Chemical ReviewsProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesFranceRussia
In The Last Decade
Atanu Acharya
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 486
- Biophysics 181
- Materials Chemistry 173
- Cellular and Molecular Neuroscience 162
- Organic Chemistry 155
Countries citing papers authored by Atanu Acharya
This map shows the geographic impact of Atanu 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 Atanu Acharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atanu Acharya more than expected).
Fields of papers citing papers by Atanu Acharya
This network shows the impact of papers produced by Atanu 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 Atanu Acharya. The network helps show where Atanu Acharya may publish in the future.
Co-authorship network of co-authors of Atanu Acharya
This figure shows the co-authorship network connecting the top 25 collaborators of Atanu Acharya. A scholar is included among the top collaborators of Atanu Acharya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Atanu Acharya. Atanu Acharya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 17 | |
| 7 | 5 | |
| 8 | 40 | |
| 9 | 49 | |
| 10 | 17 | |
| 11 | 1 | |
| 12 | 14 | |
| 13 | 6 | |
| 14 | 49 | |
| 15 | 143 | |
| 16 | 25 | |
| 17 | 13 | |
| 18 | 10 | |
| 19 | 28 | |
| 20 | 73 |
About Atanu Acharya
Atanu Acharya is a scholar working on Biophysics, Physical and Theoretical Chemistry and Computational Theory and Mathematics, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Protein Structure and Dynamics (6 papers). The work is most often cited by research in Biophysics (181 citations), Structural Biology (20 citations) and Physical and Theoretical Chemistry (108 citations). Atanu Acharya has collaborated with scholars based in United States, France and Russia. Frequent co-authors include Víctor S. Batista, Anna I. Krylov, Subhajyoti Chaudhuri, Konstantin A. Lukyanov, Alexey M. Bogdanov, Ksenia B. Bravaya, Bella L. Grigorenko, Alexander V. Nemukhin, James C. Gumbart and Ànna Pavlova. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.