Vasily Rybakin

1.5k citations
42 papers · 1.1k · h-index 19

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Cell Adhesion Molecules Research

Papers in

    • Immune Cell Function and Interaction 17
    • T-cell and B-cell Immunology 16
    • Immunotherapy and Immune Responses 8
    • Galectins and Cancer Biology 5
    • Cellular transport and secretion 7
    • Cellular Mechanics and Interactions 4

Vasily Rybakin

41 papers receiving 1.1k citations

Peers

Vasily Rybakin
Comparison fields: 5 of 98
  • Immunology 568
  • Immunology and Allergy 62
  • Oncology 247
  • Cell Biology 145
  • Behavioral Neuroscience 28
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Citations per field
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Carlos Pantoja · 1×
Citations per year

Countries citing papers authored by Vasily Rybakin

Since Specialization
Citations

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

Fields of papers citing papers by Vasily Rybakin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016119
2 2005114
3 2009104
4 201390
5 201457
6 200451
7 201146
8 201644
9 201137
10 202036
11 201935
12 202031
13 200631
14 199928
15 201926
16 201325
17 200824
18 201823
19 202120
20 201817

About Vasily Rybakin

Vasily Rybakin is a scholar working on Immunology, Cell Biology, Oncology, Molecular Biology and Cancer Research, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (16 papers), Immunotherapy and Immune Responses (8 papers), CAR-T cell therapy research (7 papers), Cellular transport and secretion (7 papers), Galectins and Cancer Biology (5 papers), Cellular Mechanics and Interactions (4 papers) and Protease and Inhibitor Mechanisms (4 papers). The work is most often cited by research in Immunology (568 citations), Immunology and Allergy (62 citations), Oncology (247 citations), Cell Biology (145 citations) and Behavioral Neuroscience (28 citations). Vasily Rybakin has collaborated with scholars based in United States, Belgium and Singapore. Frequent co-authors include Nicholas R. J. Gascoigne, Joanna Brzostek, Christoph S. Clemen, Oreste Acuto, Guo Fu, Javier Casas, Natalia V. Gounko, John A. H. Hoerter, Karsten Sauer and Wolfgang Paster. Their work appears in journals such as Frontiers in Immunology, Scientific Reports, Sub-cellular biochemistry, Translational Psychiatry and Nature Immunology.

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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