Viktor Wixler

3.0k citations
55 papers · 2.0k · h-index 26

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 4
    • RNA Research and Splicing 4
    • interferon and immune responses 14
    • Immune Response and Inflammation 8
    • Immunotherapy and Immune Responses 5

Viktor Wixler

55 papers receiving 2.0k citations

Peers

Viktor Wixler
Comparison fields: 5 of 99
  • Immunology and Allergy 165
  • Immunology 566
  • Molecular Biology 1.1k
  • Cell Biology 253
  • Epidemiology 312
Replace Agustı́n Valenzuela-Fernández with:
Agustı́n Valenzuela-Fernández Spain
Noriko Toyama‐Sorimachi Japan
Stefanie Kliche Germany
Mar Fernandez‐Borja Netherlands
Lothar Lucka Germany
Fujiko Kitamura Japan
Pinglong Xu China
Patrick Costello United Kingdom
Fabrice Allain France
François Dautry France
Viktor Wixler relative to Agustı́n Valenzuela-Fernández Spain Agustı́n Valenzuela-Fernández's profile →
Citations per field
00.5×1.5×
Agustı́n Valenzuela-Fernández · 1×
Citations per year

Countries citing papers authored by Viktor Wixler

Since Specialization
Citations

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

Fields of papers citing papers by Viktor Wixler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997264
2 2006137
3 2002130
4 2000119
5 200486
6 199784
7 201181
8 200771
9 201169
10 201457
11 199956
12 201655
13 201155
14 200751
15 199644
16 201041
17 200240
18 201536
19 200835
20 201831

About Viktor Wixler

Viktor Wixler is a scholar working on Molecular Biology, Immunology, Immunology and Allergy, Epidemiology and Cell Biology, having authored 55 papers that have together received 2.0k indexed citations. Recurring topics across this work include interferon and immune responses (14 papers), Cell Adhesion Molecules Research (10 papers), Influenza Virus Research Studies (9 papers), Immune Response and Inflammation (8 papers), Immunotherapy and Immune Responses (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), RNA Research and Splicing (4 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Immunology and Allergy (165 citations), Immunology (566 citations), Molecular Biology (1.1k citations), Cell Biology (253 citations) and Epidemiology (312 citations). Viktor Wixler has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Stephan Ludwig, Ulf R. Rapp, Ludmilla Wixler, U Smola, Christina Ehrhardt, Carolin Nordhoff, Yvonne Boergeling, María T. Diaz‐Meco, Geoffrey M. Cooper and Hong Cai. Their work appears in journals such as The FASEB Journal, Cellular Microbiology, Journal of Biological Chemistry, Biological Chemistry and FEBS Letters.

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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