Urmi Roy

2.3k citations
46 papers · 1.6k · h-index 18

Impact in

Papers in

    • Protein Structure and Dynamics 8
    • Gut microbiota and health 6
    • SARS-CoV-2 and COVID-19 Research 4
    • Clostridium difficile and Clostridium perfringens research 3

Urmi Roy

44 papers receiving 1.5k citations

Peers

Urmi Roy
Comparison fields: 5 of 115
  • Biological Psychiatry 40
  • Molecular Biology 970
  • Infectious Diseases 221
  • Immunology 210
  • Spectroscopy 161
Replace Anthony M. Haag with:
Anthony M. Haag United States
Chao Zhao China
Tony Kwan Australia
Catherine Robbe‐Masselot France
Virginia A. Pedicord United States
Mingliang Jin China
Jessica Holmén‐Larsson Sweden
Liisa Arike Sweden
Joel Selkrig Germany
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Citations per field
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Citations per year

Countries citing papers authored by Urmi Roy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Urmi Roy Line = papers co-authored together Urmi Roy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020317
2 2020151
3 2012125
4 2020121
5 2013113
6 2017109
7 201775
8 201154
9 201752
10 200747
11 201243
12 201332
13 201232
14 201224
15 201819
16 201818
17 201718
18 202018
19 202115
20 201414

About Urmi Roy

Urmi Roy is a scholar working on Molecular Biology, Infectious Diseases, Immunology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Gut microbiota and health (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immune Response and Inflammation (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Clostridium difficile and Clostridium perfringens research (3 papers), IL-33, ST2, and ILC Pathways (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Biological Psychiatry (40 citations), Molecular Biology (970 citations), Infectious Diseases (221 citations), Immunology (210 citations) and Spectroscopy (161 citations). Urmi Roy has collaborated with scholars based in United States, Germany and Bangladesh. Frequent co-authors include Costel C. Darie, Alisa G. Woods, Izabela Sokolowska, 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, Cell Host & Microbe, Immunologic Research, Advances in experimental medicine and biology and Cellular and Molecular Life Sciences.

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.

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