Urmi Roy

2.2k total citations
46 papers, 1.5k citations indexed

About

Urmi Roy is a scholar working on Molecular Biology, Infectious Diseases and Immunology. According to data from OpenAlex, Urmi Roy has authored 46 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 11 papers in Infectious Diseases and 11 papers in Immunology. Recurrent topics in Urmi Roy's work include Protein Structure and Dynamics (8 papers), Gut microbiota and health (6 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Urmi Roy is often cited by papers focused on Protein Structure and Dynamics (8 papers), Gut microbiota and health (6 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Urmi Roy collaborates with scholars based in United States, Germany and India. Urmi Roy's 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 and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Urmi Roy

42 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Urmi Roy United States 18 1.0k 232 216 162 155 46 1.5k
Tony Kwan Australia 20 1.2k 1.1× 172 0.7× 259 1.2× 77 0.5× 60 0.4× 42 2.1k
Guo‐Yu Yang China 23 392 0.4× 157 0.7× 212 1.0× 153 0.9× 97 0.6× 74 1.2k
Xia Wu China 24 1.0k 1.0× 216 0.9× 111 0.5× 158 1.0× 46 0.3× 97 1.7k
Mark R. Martzen United States 21 1.3k 1.3× 371 1.6× 156 0.7× 50 0.3× 198 1.3× 34 2.3k
Wenbin Bao China 23 870 0.9× 248 1.1× 217 1.0× 31 0.2× 166 1.1× 186 1.9k
Katrin Sparbier Germany 30 631 0.6× 313 1.3× 164 0.8× 246 1.5× 38 0.2× 47 2.2k
Stéphanie Simon France 28 1.7k 1.7× 212 0.9× 234 1.1× 49 0.3× 61 0.4× 105 2.7k
Mingliang Jin China 27 1.0k 1.0× 102 0.4× 123 0.6× 34 0.2× 294 1.9× 52 1.6k
Tadanobu Takahashi Japan 28 1.3k 1.3× 312 1.3× 383 1.8× 49 0.3× 120 0.8× 102 2.6k
Annick Gauthier Canada 21 355 0.4× 305 1.3× 98 0.5× 55 0.3× 155 1.0× 40 1.7k

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-authorship network of co-authors of Urmi Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Urmi Roy. A scholar is included among the top collaborators of Urmi Roy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Urmi Roy. Urmi Roy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Lehmann, Christine, et al.. (2023). Cross-reactivity of human monoclonal antibodies with canine peripheral blood mononuclear cells. Veterinary Immunology and Immunopathology. 259. 110578–110578. 2 indexed citations
4.
Roy, Urmi, et al.. (2023). Implications of SARS-CoV-2 spike protein interactions with Zn-bound form of ACE2: a computational structural study. BioMetals. 36(4). 903–912. 2 indexed citations
5.
Hossain, Md. Jamal, Urmi Roy, Saikat Mitra, et al.. (2021). Clinical Efficacy and Safety of Antiviral Drugs in the Extended Use against COVID-19: What We Know So Far. SHILAP Revista de lepidopterología. 1(2). 252–284. 12 indexed citations
6.
Roy, Urmi, Eric J. C. Gálvez, Achim Gronow, et al.. (2021). Induction of IL-22-Producing CD4+ T Cells by Segmented Filamentous Bacteria Independent of Classical Th17 Cells. Frontiers in Immunology. 12. 671331–671331. 13 indexed citations
7.
Roy, Urmi. (2021). Comparative structural analyses of selected spike protein-RBD mutations in SARS-CoV-2 lineages. Immunologic Research. 70(2). 143–151. 15 indexed citations
8.
Iljazović, Aida, Urmi Roy, Eric J. C. Gálvez, et al.. (2020). Perturbation of the gut microbiome by Prevotella spp. enhances host susceptibility to mucosal inflammation. Mucosal Immunology. 14(1). 113–124. 298 indexed citations
9.
Mihăşan, Marius, Kelly L. Wormwood, Izabela Sokolowska, et al.. (2019). Mass Spectrometry- and Computational Structural Biology-Based Investigation of Proteins and Peptides. Advances in experimental medicine and biology. 1140. 265–287. 7 indexed citations
10.
Roy, Urmi. (2019). Structure and Function of an Inflammatory Cytokine, Interleukin-2, Analyzed Using the Bioinformatic Approach. The Protein Journal. 38(5). 525–536. 5 indexed citations
11.
Thiemann, Sophie, Nathiana Smit, Urmi Roy, et al.. (2017). Enhancement of IFNγ Production by Distinct Commensals Ameliorates Salmonella-Induced Disease. Cell Host & Microbe. 21(6). 682–694.e5. 75 indexed citations
12.
Roy, Urmi. (2016). Structural Characterizations of the Fas Receptor and the Fas-Associated Protein with Death Domain Interactions. The Protein Journal. 35(1). 51–60. 14 indexed citations
13.
Roy, Urmi, Alisa G. Woods, Izabela Sokolowska, & Costel C. Darie. (2014). Utility of Computational Structural Biology in Mass Spectrometry. Advances in experimental medicine and biology. 806. 107–128. 3 indexed citations
14.
Roy, Urmi, Alisa G. Woods, Izabela Sokolowska, & Costel C. Darie. (2013). Structural Evaluation and Analyses of Tumor Differentiation Factor. The Protein Journal. 32(7). 512–518. 12 indexed citations
15.
Sokolowska, Izabela, Armand G. Ngounou Wetie, Urmi Roy, Alisa G. Woods, & Costel C. Darie. (2013). Mass spectrometry investigation of glycosylation on the NXS/T sites in recombinant glycoproteins. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1834(8). 1474–1483. 32 indexed citations
16.
Ghose, Purnima, et al.. (2013). Further evidence for the association of distinct amino acid residues with in vitro and in vivo growth of infectious bursal disease virus. Archives of Virology. 159(4). 701–709. 12 indexed citations
17.
Sokolowska, Izabela, Alisa G. Woods, Mary Ann Gawinowicz, Urmi Roy, & Costel C. Darie. (2012). Identification of a potential tumor differentiation factor receptor candidate in prostate cancer cells. FEBS Journal. 279(14). 2579–2594. 43 indexed citations
18.
Sokolowska, Izabela, Alisa G. Woods, Mary Ann Gawinowicz, Urmi Roy, & Costel C. Darie. (2012). Characterization of tumor differentiation factor (TDF) and its receptor (TDF-R). Cellular and Molecular Life Sciences. 70(16). 2835–2848. 24 indexed citations
19.
Roy, Urmi, Izabela Sokolowska, Alisa G. Woods, & Costel C. Darie. (2012). Structural investigation of tumor differentiation factor. Biotechnology and Applied Biochemistry. 59(6). 445–450. 32 indexed citations
20.
Sokolowska, Izabela, Alisa G. Woods, Mary Ann Gawinowicz, Urmi Roy, & Costel C. Darie. (2011). Identification of Potential Tumor Differentiation Factor (TDF) Receptor from Steroid-responsive and Steroid-resistant Breast Cancer Cells. Journal of Biological Chemistry. 287(3). 1719–1733. 54 indexed citations

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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