Natalia Volinsky

857 citations
10 papers · 637 indexed · h-index 10

Impact in

  • Cell Biology top 10%
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics
    • Protein Kinase Regulation and GTPase Signaling
    • Melanoma and MAPK Pathways
    • Ubiquitin and proteasome pathways
    • Gene Regulatory Network Analysis
    • PI3K/AKT/mTOR signaling in cancer

Papers in

Natalia Volinsky

10 papers receiving 630 citations

Peers

Natalia Volinsky
Comparison fields: 5 of 97
  • Cell Biology 151
  • Molecular Biology 421
  • Immunology and Allergy 35
  • Oncology 101
  • Cellular and Molecular Neuroscience 49
Replace Severino Urban with:
Severino Urban Germany
Harvey E. Johnston United Kingdom
Fabienne Soulet France
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Kosuke Takeda Japan
Carolyn N. Wrobel United States
Odile Valiron France
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Zee‐Fen Chang Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Natalia Volinsky

Since Specialization
Citations

This map shows the geographic impact of Natalia Volinsky'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 Natalia Volinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Volinsky more than expected).

Fields of papers citing papers by Natalia Volinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalia Volinsky. 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 Natalia Volinsky. The network helps show where Natalia Volinsky may publish in the future.

Co-authors

The 25 scholars most cited alongside Natalia Volinsky, 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 Natalia Volinsky Line = papers co-authored together Natalia Volinsky links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201710
2 201616
3 2016130
4 201511
5 2014165
6 201414
7 201359
8 2011153
9 200749
10 200630

About Natalia Volinsky

Natalia Volinsky is a scholar working on Oncology, Immunology and Allergy, Cancer Research, Molecular Biology and Cell Biology, having authored 10 papers that have together received 637 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (3 papers), HER2/EGFR in Cancer Research (2 papers), Cancer-related Molecular Pathways (2 papers), Melanoma and MAPK Pathways (2 papers), T-cell and B-cell Immunology (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Cell death mechanisms and regulation (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Cell Biology (151 citations), Molecular Biology (421 citations), Immunology and Allergy (35 citations), Oncology (101 citations) and Cellular and Molecular Neuroscience (49 citations). Natalia Volinsky has collaborated with scholars based in Ireland, United States and Japan. Frequent co-authors include Walter Kölch, Boris Ν. Kholodenko, Jens Rauch, David Romano, Andrea Degasperi, Marc R. Birtwistle, Deborah Yablonski, Edward Manser, Ami Aronheim and Alex von Kriegsheim. Their work appears in journals such as Biochemical Journal, Cell Communication and Signaling, Bioscience Reports, Journal of Biological Chemistry and FEBS Journal.

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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