Ayan Roy
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Antimicrobial Resistance in Staphylococcus
- Pharmacology top 10%
Papers in ⓘ
- Co-authors
- Pallab Kar (12 shared papers)Devashan Naidoo (10 shared papers)J. Van Staden (7 shared papers)Neeta Raj Sharma (3 shared papers)Bhupender Singh (3 shared papers)Akash Anandraj (6 shared papers)Surajit Basak (5 shared papers)Puneet Misra (1 shared paper)
- Journals
- Journal of Biomolecular Structure and Dynamics (6 papers)World Journal of Microbiology and Biotechnology (4 papers)Frontiers in Microbiology (4 papers)Journal of Cellular Biochemistry (2 papers)Genomics (2 papers)
- Partner nations
- IndiaSouth AfricaCanada
In The Last Decade
Ayan Roy
50 papers receiving 764 citations
Peers
Comparison fields: 5 of 112
- Infectious Diseases 218
- Pharmacology 63
- Complementary and alternative medicine 57
- Computational Theory and Mathematics 96
- Drug Discovery 1
Countries citing papers authored by Ayan Roy
This map shows the geographic impact of Ayan Roy'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 Ayan Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayan Roy more than expected).
Fields of papers citing papers by Ayan Roy
This network shows the impact of papers produced by Ayan Roy. 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 Ayan Roy. The network helps show where Ayan Roy may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayan Roy, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 134 | |
| 2 | 2020 | 61 | |
| 3 | 2020 | 54 | |
| 4 | 2020 | 43 | |
| 5 | 2020 | 40 | |
| 6 | 2022 | 33 | |
| 7 | 2021 | 33 | |
| 8 | 2020 | 31 | |
| 9 | 2009 | 29 | |
| 10 | 2022 | 28 | |
| 11 | 2019 | 28 | |
| 12 | 2015 | 23 | |
| 13 | 2018 | 20 | |
| 14 | 2018 | 17 | |
| 15 | 2020 | 14 | |
| 16 | 2021 | 14 | |
| 17 | 2019 | 11 | |
| 18 | 2020 | 11 | |
| 19 | 2012 | 11 | |
| 20 | 2021 | 10 |
About Ayan Roy
Ayan Roy is a scholar working on Pharmacology, Infectious Diseases, Virology, Complementary and alternative medicine and Computational Theory and Mathematics, having authored 54 papers that have together received 783 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), RNA and protein synthesis mechanisms (9 papers), Computational Drug Discovery Methods (7 papers), Influenza Virus Research Studies (5 papers), Essential Oils and Antimicrobial Activity (4 papers), Bacteriophages and microbial interactions (4 papers), Mycobacterium research and diagnosis (4 papers) and Phytochemistry and Biological Activities (3 papers). The work is most often cited by research in Infectious Diseases (218 citations), Pharmacology (63 citations), Complementary and alternative medicine (57 citations), Computational Theory and Mathematics (96 citations) and Drug Discovery (1 citation). Ayan Roy has collaborated with scholars based in India, South Africa and Canada. Frequent co-authors include Pallab Kar, Devashan Naidoo, J. Van Staden, Neeta Raj Sharma, Bhupender Singh, Akash Anandraj, Surajit Basak, Puneet Misra, Marcus Flather and Anitá Saxena. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, World Journal of Microbiology and Biotechnology, Frontiers in Microbiology, Journal of Cellular Biochemistry and Genomics.
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.