Murali Aarthy
Impact in
-
- HIV Research and Treatment
- Infectious Diseases top 10%
- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
Papers in
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- Computational Drug Discovery Methods 7
- Co-authors
- Sanjeev Kumar Singh (21 shared papers)Rajanish Giri (7 shared papers)Nitin Sharma (2 shared papers)Ankur Kumar (3 shared papers)Deepak Kumar (3 shared papers)Brooke Liang (1 shared paper)Indira U. Mysorekar (1 shared paper)Neha Garg (1 shared paper)
- Journals
- Journal of Biomolecular Structure and Dynamics (6 papers)ACS Omega (3 papers)Scientific Reports (3 papers)International Journal of Biological Macromolecules (2 papers)Virology (1 paper)
- Partner nations
- IndiaUnited StatesSouth Korea
In The Last Decade
Murali Aarthy
23 papers receiving 452 citations
Peers
Comparison fields: 5 of 76
- Virology 30
- Infectious Diseases 115
- Public Health, Environmental and Occupational Health 168
- Computational Theory and Mathematics 82
- Biological Psychiatry 10
Countries citing papers authored by Murali Aarthy
This map shows the geographic impact of Murali Aarthy'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 Murali Aarthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Murali Aarthy more than expected).
Fields of papers citing papers by Murali Aarthy
This network shows the impact of papers produced by Murali Aarthy. 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 Murali Aarthy. The network helps show where Murali Aarthy may publish in the future.
Co-authors
The 25 scholars most cited alongside Murali Aarthy, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 88 | |
| 2 | 2017 | 79 | |
| 3 | 2017 | 45 | |
| 4 | 2018 | 31 | |
| 5 | 2020 | 30 | |
| 6 | 2020 | 29 | |
| 7 | 2017 | 20 | |
| 8 | 2021 | 19 | |
| 9 | 2018 | 17 | |
| 10 | 2020 | 16 | |
| 11 | 2021 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2020 | 11 | |
| 14 | 2024 | 10 | |
| 15 | 2019 | 8 | |
| 16 | 2022 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2021 | 3 |
About Murali Aarthy
Murali Aarthy is a scholar working on Molecular Biology, Computational Theory and Mathematics, Public Health, Environmental and Occupational Health, Epidemiology and Infectious Diseases, having authored 23 papers that have together received 454 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Mosquito-borne diseases and control (7 papers), Malaria Research and Control (5 papers), Cervical Cancer and HPV Research (2 papers), Protease and Inhibitor Mechanisms (2 papers), Synthesis and biological activity (2 papers), HIV Research and Treatment (2 papers) and Insect symbiosis and bacterial influences (2 papers). The work is most often cited by research in Virology (30 citations), Infectious Diseases (115 citations), Public Health, Environmental and Occupational Health (168 citations), Computational Theory and Mathematics (82 citations) and Biological Psychiatry (10 citations). Murali Aarthy has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Sanjeev Kumar Singh, Rajanish Giri, Nitin Sharma, Ankur Kumar, Deepak Kumar, Brooke Liang, Indira U. Mysorekar, Neha Garg, Umesh Panwar and Chandrabose Selvaraj. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, ACS Omega, Scientific Reports, International Journal of Biological Macromolecules and Virology.
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.