Mario Witkowski

1.7k citations
21 papers · 1.3k · h-index 15

Impact in

  • Immunology top 5%
    • IL-33, ST2, and ILC Pathways
    • T-cell and B-cell Immunology
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • IL-33, ST2, and ILC Pathways 3
    • T-cell and B-cell Immunology 2
    • COVID-19 Clinical Research Studies 3
    • SARS-CoV-2 and COVID-19 Research 3

Mario Witkowski

21 papers receiving 1.2k citations

Peers

Mario Witkowski
Comparison fields: 5 of 76
  • Immunology 359
  • Infectious Diseases 236
  • Cancer Research 92
  • Oncology 136
  • Genetics 170
Replace Isabella Tosi with:
Isabella Tosi United Kingdom
Luigi Cari Italy
Reiner K. Mailer Germany
Guang‐Nian Zhao China
Meri Najdovska Australia
Takeshi Otsuka Japan
Martin Kongsbak‐Wismann Denmark
Tim Smallie United Kingdom
Mario Witkowski relative to Isabella Tosi United Kingdom Isabella Tosi's profile →
Citations per field
00.5×1.6×
Isabella Tosi · 1×
Citations per year

Countries citing papers authored by Mario Witkowski

Since Specialization
Citations

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

Fields of papers citing papers by Mario Witkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019312
2 2021186
3 2021162
4 2016130
5 202193
6 201672
7 202067
8 202042
9 202035
10 201731
11 201828
12 201017
13 202517
14 202315
15 202415
16 202512
17 20239
18 20248
19 20236
20 20252

About Mario Witkowski

Mario Witkowski is a scholar working on Immunology, Infectious Diseases, Cancer Research, Hematology and Biological Psychiatry, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), MicroRNA in disease regulation (3 papers), IL-33, ST2, and ILC Pathways (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), T-cell and B-cell Immunology (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Inflammatory Bowel Disease (2 papers) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Immunology (359 citations), Infectious Diseases (236 citations), Cancer Research (92 citations), Oncology (136 citations) and Genetics (170 citations). Mario Witkowski has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Caroline Tizian, Marco Witkowski, Fabian Schumacher, Lukas Amann, Pedro P. Hernández, Antigoni Triantafyllopoulou, Konrad Gronke, Jakob Zimmermann, Christoph S. N. Klose and Michael Kofoed-Branzk. Their work appears in journals such as Nature Communications, Nature, Cardiovascular Diabetology, Arteriosclerosis Thrombosis and Vascular Biology and Seminars in Immunopathology.

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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