Markus Jaritz

3.5k citations
45 papers · 2.5k indexed · h-index 24
  • Immunology top 5%
    • Immune Cell Function and Interaction 16
    • T-cell and B-cell Immunology 15
    • Immunotherapy and Immune Responses 7
    • Sphingolipid Metabolism and Signaling 8
    • RNA modifications and cancer 6
    • RNA Research and Splicing 6
    • RNA and protein synthesis mechanisms 5
    • Protein Kinase Regulation and GTPase Signaling 4
  • Hematology top 5%
  • Cell Biology top 10%

Markus Jaritz

43 papers receiving 2.5k citations

Peers

Markus Jaritz
Comparison fields: 5 of 107
  • Immunology 831
  • Molecular Biology 1.6k
  • Hematology 200
  • Cancer Research 216
  • Cell Biology 138
Replace Maren Kaufmann with:
Maren Kaufmann Germany
Roger Ferrini United States
Saïd Aoufouchi France
Hua Tang Chen United States
Kun-Sang Chang United States
Robert K. McGinty United States
Eric S. Martin United States
Barbara K. Birshtein United States
Tsukasa Oda Japan
Rachael E. Hawtin United States
Markus Jaritz relative to Maren Kaufmann Germany Maren Kaufmann's profile →
Citations per field
00.5×4.5×
Maren Kaufmann · 1×
Citations per year

Countries citing papers authored by Markus Jaritz

Since Specialization
Citations

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

Fields of papers citing papers by Markus Jaritz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20251
3 20240
4 20248
5 20235
6 202314
7 20226
8 202137
9 202083
10 201612
11 2016235
12 2014158
13 20125
14 2011106
15 200936
16 200811
17 200714
18 200623
19 199680
20 199581

About Markus Jaritz

Markus Jaritz is a scholar working on Immunology, Cell Biology and Molecular Biology, having authored 45 papers that have together received 2.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (15 papers), Sphingolipid Metabolism and Signaling (8 papers), Immunotherapy and Immune Responses (7 papers), RNA modifications and cancer (6 papers), RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (5 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). The work is most often cited by research in Immunology (831 citations), Molecular Biology (1.6k citations) and Hematology (200 citations). Markus Jaritz has collaborated with scholars based in Austria, United Kingdom and United States. Frequent co-authors include Meinrad Busslinger, Hiromi Tagoh, Anton Wutz, Maria Fischer, Anja Ebert, Maria Novatchkova, Martina Minnich, Elin Axelsson, Diego Pasini and Kristian Helin. Their work appears in journals such as The EMBO Journal, The Journal of Experimental Medicine, Nature Immunology, Proteins Structure Function and Bioinformatics and Nature.

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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