Veronica Shamovsky
Impact in
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- Immune Response and Inflammation
- Immune Cell Function and Interaction
- interferon and immune responses
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- Cancer-related molecular mechanisms research
Papers in
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- Bioinformatics and Genomic Networks 2
- vaccines and immunoinformatics approaches 1
- RNA and protein synthesis mechanisms 1
- Receptor Mechanisms and Signaling 1
- Protein Structure and Dynamics 1
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- Microbial Natural Products and Biosynthesis 2
- Co-authors
- Peter D’Eustachio (4 shared papers)Lincoln Stein (2 shared papers)Henning Hermjakob (2 shared papers)S Jupe (2 shared papers)Guilherme Viteri (1 shared paper)Bruce May (1 shared paper)Antonio Fabregat (1 shared paper)Konstantinos Sidiropoulos (1 shared paper)
- Journals
- Mammalian Genome (1 paper)Journal of Allergy and Clinical Immunology (1 paper)PLoS ONE (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Veronica Shamovsky
4 papers receiving 145 citations
Peers
Comparison fields: 5 of 65
- Immunology 33
- Cancer Research 19
- Biological Psychiatry 3
- Molecular Biology 77
- Aging 1
Countries citing papers authored by Veronica Shamovsky
This map shows the geographic impact of Veronica Shamovsky'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 Veronica Shamovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veronica Shamovsky more than expected).
Fields of papers citing papers by Veronica Shamovsky
This network shows the impact of papers produced by Veronica Shamovsky. 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 Veronica Shamovsky. The network helps show where Veronica Shamovsky may publish in the future.
Co-authors
The 24 scholars most cited alongside Veronica Shamovsky, 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 | 2017 | 115 | |
| 2 | 2010 | 18 | |
| 3 | 2018 | 11 | |
| 4 | 2015 | 1 |
About Veronica Shamovsky
Veronica Shamovsky is a scholar working on Molecular Biology, Pharmacology, Immunology, Computational Theory and Mathematics and Infectious Diseases, having authored 4 papers that have together received 145 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Immune Response and Inflammation (2 papers), Computational Drug Discovery Methods (1 paper), vaccines and immunoinformatics approaches (1 paper), RNA and protein synthesis mechanisms (1 paper), Receptor Mechanisms and Signaling (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Immunology (33 citations), Cancer Research (19 citations), Biological Psychiatry (3 citations), Molecular Biology (77 citations) and Aging (1 citation). Veronica Shamovsky has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Peter D’Eustachio, Lincoln Stein, Henning Hermjakob, S Jupe, Guilherme Viteri, Bruce May, Antonio Fabregat, Konstantinos Sidiropoulos, M Orlic-Milacic and Marc Gillespie. Their work appears in journals such as Mammalian Genome, Journal of Allergy and Clinical Immunology, PLoS ONE and Bioinformatics.
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.