Csaba Vízler

2.1k citations
69 papers · 1.7k · 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
    • Glycosylation and Glycoproteins Research 3
    • Immune Cell Function and Interaction 10
    • Immunotherapy and Immune Responses 7
    • Immune cells in cancer 4

Csaba Vízler

68 papers receiving 1.7k citations

Peers

Csaba Vízler
Comparison fields: 5 of 110
  • Sensory Systems 188
  • Immunology 401
  • Cancer Research 153
  • Toxicology 34
  • Molecular Biology 638
Replace Laura Sturla with:
Laura Sturla Italy
Shaik O. Rahaman United States
Iku Utsunomiya Japan
Elizabeth R. Sharlow United States
Qi Ma China
Nikolai Engedal Norway
Jing Sun China
Harish C. Chandramoorthy Saudi Arabia
Maria Høyer-Hansen Denmark
Tamio Suzuki Japan
Csaba Vízler relative to Laura Sturla Italy Laura Sturla's profile →
Citations per field
00.5×2.8×
Laura Sturla · 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 2017156
2 2003116
3 2012102
4 201098
5 201368
6 202061
7 201661
8 200848
9 201645
10 201644
11 202043
12 201641
13 201041
14 200939
15 200237
16 200036
17 201732
18 201731
19 200931
20 201527

About Csaba Vízler

Csaba Vízler is a scholar working on Molecular Biology, Immunology, Genetics, Surgery and Sensory Systems, having authored 69 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Immunotherapy and Immune Responses (7 papers), Ion Channels and Receptors (7 papers), RNA Interference and Gene Delivery (6 papers), Virus-based gene therapy research (5 papers), Antifungal resistance and susceptibility (5 papers), Immune cells in cancer (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Sensory Systems (188 citations), Immunology (401 citations), Cancer Research (153 citations), Toxicology (34 citations) and Molecular Biology (638 citations). Csaba Vízler has collaborated with scholars based in Hungary, United States and France. Frequent co-authors include László G. Puskás, Klára Kitajka, Gábor J. Szebeni, Zoltán Oláh, Annamária Marton, Erzsébet Kúsz, Katalin Jósvay, Tamás Letoha, László Pecze and E. Duda. Their work appears in journals such as PLoS ONE, Frontiers in Microbiology, International Journal of Molecular Sciences, Lipids in Health and Disease and Journal of Clinical Investigation.

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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