Thomas Perkmann

6.9k citations
124 papers · 3.2k · h-index 29

Impact in

  • Immunology top 5%
    • Atherosclerosis and Cardiovascular Diseases
    • T-cell and B-cell Immunology
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • Atherosclerosis and Cardiovascular Diseases 6
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 5
    • Immunodeficiency and Autoimmune Disorders 5
    • SARS-CoV-2 and COVID-19 Research 16

Thomas Perkmann

117 papers receiving 3.2k citations

Peers

Thomas Perkmann
Comparison fields: 5 of 141
  • Immunology 659
  • Infectious Diseases 542
  • Hepatology 208
  • Internal Medicine 78
  • Transplantation 50
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Martina Zaninotto Italy
Michael Lishner Israel
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Pieter Vermeersch Belgium
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G. William Dec United States
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Perkmann

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Perkmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009377
2 2011196
3 2021149
4 2016145
5 2007141
6 2021128
7 201495
8 202083
9 201178
10 201866
11 201563
12 202163
13 201353
14 201652
15 201349
16 201444
17 201643
18 201441
19 202139
20 201838

About Thomas Perkmann

Thomas Perkmann is a scholar working on Immunology, Infectious Diseases, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Epidemiology, having authored 124 papers that have together received 3.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (16 papers), Atherosclerosis and Cardiovascular Diseases (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Systemic Sclerosis and Related Diseases (5 papers), Liver Disease and Transplantation (5 papers), Systemic Lupus Erythematosus Research (4 papers) and Cardiovascular Health and Disease Prevention (4 papers). The work is most often cited by research in Immunology (659 citations), Infectious Diseases (542 citations), Hepatology (208 citations), Internal Medicine (78 citations) and Transplantation (50 citations). Thomas Perkmann has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Helmuth Haslacher, Oswald Wagner, Christoph J. Binder, Georg Endler, Joseph L. Witztum, Sohvi Hörkkö, Karsten Hartvigsen, Claudia Marsik, Stefan Greisenegger and Valentin Fuhrmann. Their work appears in journals such as PLoS ONE, Clinical Chemistry and Laboratory Medicine (CCLM), European Journal of Clinical Investigation, Blood and Scientific Reports.

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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