Rimanshee Arya
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
-
- Computational Drug Discovery Methods
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
- Viral Infections and Outbreaks Research 1
- SARS-CoV-2 detection and testing 1
-
- Advanced biosensing and bioanalysis techniques 1
- Cell death mechanisms and regulation 1
- vaccines and immunoinformatics approaches 1
- Co-authors
- Vishal Prashar (5 shared papers)Mukesh Kumar (5 shared papers)Hiral Mistry (1 shared paper)Subhash C. Bihani (2 shared papers)Amit Das (1 shared paper)Shweta Kumari (1 shared paper)Bharati Pandey (1 shared paper)Gagan D. Gupta (1 shared paper)
- Journals
- Microbial Pathogenesis (1 paper)International Journal of Biological Macromolecules (1 paper)Biology Direct (1 paper)Journal of Molecular Biology (1 paper)Molecular Biotechnology (1 paper)
- Partner nations
- India
In The Last Decade
Rimanshee Arya
5 papers receiving 251 citations
Peers
Comparison fields: 5 of 51
- Infectious Diseases 184
- Computational Theory and Mathematics 60
- Animal Science and Zoology 25
- Immunology 30
- Molecular Biology 97
Countries citing papers authored by Rimanshee Arya
This map shows the geographic impact of Rimanshee Arya'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 Rimanshee Arya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rimanshee Arya more than expected).
Fields of papers citing papers by Rimanshee Arya
This network shows the impact of papers produced by Rimanshee Arya. 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 Rimanshee Arya. The network helps show where Rimanshee Arya may publish in the future.
Co-authors
The 11 scholars most cited alongside Rimanshee Arya, 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 | 2020 | 242 | |
| 2 | 2021 | 8 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2025 | 1 |
About Rimanshee Arya
Rimanshee Arya is a scholar working on Infectious Diseases, Molecular Biology, Ecology, Computational Theory and Mathematics and Complementary and alternative medicine, having authored 5 papers that have together received 254 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Bacteriophages and microbial interactions (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Cell death mechanisms and regulation (1 paper), Viral Infections and Outbreaks Research (1 paper), Computational Drug Discovery Methods (1 paper), SARS-CoV-2 detection and testing (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Infectious Diseases (184 citations), Computational Theory and Mathematics (60 citations), Animal Science and Zoology (25 citations), Immunology (30 citations) and Molecular Biology (97 citations). Rimanshee Arya has collaborated with scholars based in India. Frequent co-authors include Vishal Prashar, Mukesh Kumar, Hiral Mistry, Subhash C. Bihani, Amit Das, Shweta Kumari, Bharati Pandey, Gagan D. Gupta, Lata Panicker and Preeti Tripathi. Their work appears in journals such as Microbial Pathogenesis, International Journal of Biological Macromolecules, Biology Direct, Journal of Molecular Biology and Molecular Biotechnology.
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.