Thomas Perkmann

6.8k citations
121 papers · 3.1k · h-index 28

Impact in

Papers in

    • Atherosclerosis and Cardiovascular Diseases 9
    • Immunodeficiency and Autoimmune Disorders 6
    • SARS-CoV-2 and COVID-19 Research 23
    • COVID-19 Clinical Research Studies 15
    • SARS-CoV-2 detection and testing 6

Thomas Perkmann

114 papers receiving 3.1k citations

Peers

Thomas Perkmann
Comparison fields: 5 of 139
  • Internal Medicine 138
  • Immunology 762
  • Infectious Diseases 663
  • Hepatology 236
  • Hematology 242
Replace Mario Pirisi with:
Mario Pirisi Italy
F Balsano Italy
Guy H. Neild United Kingdom
Jérôme Stirnemann France
Martina Zaninotto Italy
Nicolás Meyer France
Daisuke Sugiyama Japan
Jaqueline Sulkes Israel
Josep M. Piqué Spain
Κassem Sharif Israel
Thomas Perkmann relative to Mario Pirisi Italy Mario Pirisi's profile →
Citations per field
00.5×2.7×
Mario Pirisi · 1×
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 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009365
2 2011189
3 2021148
4 2016142
5 2007136
6 2021126
7 201491
8 202080
9 201177
10 201863
11 201561
12 202159
13 201352
14 201652
15 201346
16 201642
17 201441
18 201439
19 202137
20 201336

About Thomas Perkmann

Thomas Perkmann is a scholar working on Immunology, Infectious Diseases, Epidemiology, Cardiology and Cardiovascular Medicine and Physiology, having authored 121 papers that have together received 3.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (23 papers), COVID-19 Clinical Research Studies (15 papers), Atherosclerosis and Cardiovascular Diseases (9 papers), SARS-CoV-2 detection and testing (6 papers), Blood Coagulation and Thrombosis Mechanisms (6 papers), Clinical Laboratory Practices and Quality Control (6 papers), Systemic Sclerosis and Related Diseases (6 papers) and Immunodeficiency and Autoimmune Disorders (6 papers). The work is most often cited by research in Internal Medicine (138 citations), Immunology (762 citations), Infectious Diseases (663 citations), Hepatology (236 citations) and Hematology (242 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 Yury I. Miller. Their work appears in journals such as PLoS ONE, European Journal of Clinical Investigation, Scientific Reports, Blood and Clinical Chemistry and Laboratory Medicine (CCLM).

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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