Csaba Vízler

2.0k citations
69 papers · 1.6k · h-index 25

Impact in

    • Ion Channels and Receptors
  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune cells in cancer

Papers in

    • RNA Interference and Gene Delivery 6
    • Immune Cell Function and Interaction 10
    • Immunotherapy and Immune Responses 7
    • T-cell and B-cell Immunology 4
    • Immune Response and Inflammation 4

Csaba Vízler

67 papers receiving 1.6k citations

Peers

Csaba Vízler
Comparison fields: 5 of 113
  • Sensory Systems 192
  • Immunology 435
  • Cancer Research 174
  • Toxicology 38
  • Molecular Biology 669
Replace Iku Utsunomiya with:
Iku Utsunomiya Japan
Anke Di United States
Seiichi Kobayashi Japan
Harish C. Chandramoorthy Saudi Arabia
Elizabeth R. Sharlow United States
Laura Sturla Italy
Qi Ma China
Anna Maria Mileo Italy
Nikolai Engedal Norway
Csaba Vízler relative to Iku Utsunomiya Japan Iku Utsunomiya's profile →
Citations per field
00.5×2.8×
Iku Utsunomiya · 1×
Citations per year

Countries citing papers authored by Csaba Vízler

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Vízler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017155
2 2003116
3 2012101
4 201096
5 201366
6 201661
7 202059
8 200847
9 201645
10 202043
11 201643
12 201041
13 201641
14 200939
15 200036
16 200236
17 201731
18 200931
19 201730
20 201527

About Csaba Vízler

Csaba Vízler is a scholar working on Molecular Biology, Immunology, Surgery, Sensory Systems and Genetics, having authored 69 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Ion Channels and Receptors (9 papers), Immunotherapy and Immune Responses (7 papers), RNA Interference and Gene Delivery (6 papers), Antifungal resistance and susceptibility (5 papers), Virus-based gene therapy research (5 papers), T-cell and B-cell Immunology (4 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Sensory Systems (192 citations), Immunology (435 citations), Cancer Research (174 citations), Toxicology (38 citations) and Molecular Biology (669 citations). Csaba Vízler has collaborated with scholars based in Hungary, United States and France. Frequent co-authors include László G. Puskás, Klára Kitajka, Zoltán Oláh, Gábor J. Szebeni, Annamária Marton, Erzsébet Kúsz, Katalin Jósvay, Tamás Letoha, László Pecze and E. Duda. Their work appears in journals such as Frontiers in Microbiology, International Journal of Molecular Sciences, PLoS ONE, Journal of Clinical Investigation and The Journal of 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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