Urmi Roy
Impact in
- Biological Psychiatry top 10%
- Molecular Biology top 10%
- Gut microbiota and health
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
- Viral Infections and Vectors 3
-
- Protein Structure and Dynamics 8
- Gut microbiota and health 7
- Co-authors
- Izabela Sokolowska (10 shared papers)Costel C. Darie (10 shared papers)Alisa G. Woods (10 shared papers)Till Strowig (10 shared papers)Eric J. C. Gálvez (6 shared papers)Till Robin Lesker (4 shared papers)Aida Iljazović (4 shared papers)Armand G. Ngounou Wetie (3 shared papers)
- Journals
- The Protein Journal (3 papers)Cellular and Molecular Life Sciences (2 papers)Immunologic Research (2 papers)Cell Host & Microbe (2 papers)Biotechnology and Applied Biochemistry (2 papers)
- Partner nations
- United StatesGermanyBangladesh
In The Last Decade
Urmi Roy
45 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 117
- Biological Psychiatry 46
- Molecular Biology 1.1k
- Immunology 317
- Infectious Diseases 240
- Gastroenterology 52
Countries citing papers authored by Urmi Roy
This map shows the geographic impact of Urmi 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 Urmi Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Urmi Roy more than expected).
Fields of papers citing papers by Urmi Roy
This network shows the impact of papers produced by Urmi 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 Urmi Roy. The network helps show where Urmi Roy may publish in the future.
Co-authors
The 25 scholars most cited alongside Urmi 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 334 | |
| 2 | 2020 | 158 | |
| 3 | 2019 | 154 | |
| 4 | 2020 | 136 | |
| 5 | 2012 | 128 | |
| 6 | 2013 | 115 | |
| 7 | 2017 | 114 | |
| 8 | 2017 | 82 | |
| 9 | 2017 | 58 | |
| 10 | 2011 | 55 | |
| 11 | 2007 | 51 | |
| 12 | 2012 | 43 | |
| 13 | 2012 | 32 | |
| 14 | 2013 | 32 | |
| 15 | 2012 | 24 | |
| 16 | 2018 | 21 | |
| 17 | 2018 | 20 | |
| 18 | 2017 | 18 | |
| 19 | 2020 | 17 | |
| 20 | 2016 | 15 |
About Urmi Roy
Urmi Roy is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging and Spectroscopy, having authored 46 papers that have together received 1.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Gut microbiota and health (7 papers), Immune Response and Inflammation (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Viral Infections and Vectors (3 papers), Computational Drug Discovery Methods (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Biological Psychiatry (46 citations), Molecular Biology (1.1k citations), Immunology (317 citations), Infectious Diseases (240 citations) and Gastroenterology (52 citations). Urmi Roy has collaborated with scholars based in United States, Germany and Bangladesh. Frequent co-authors include Izabela Sokolowska, Costel C. Darie, Alisa G. Woods, Till Strowig, Eric J. C. Gálvez, Till Robin Lesker, Aida Iljazović, Armand G. Ngounou Wetie, Marina C. Pils and Achim Gronow. Their work appears in journals such as The Protein Journal, Cellular and Molecular Life Sciences, Immunologic Research, Cell Host & Microbe and Biotechnology and Applied Biochemistry.
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.