Thomas Perkmann
Impact in
- Internal Medicine top 5%
- Immunology top 5%
- Atherosclerosis and Cardiovascular Diseases
Papers in
- Immunology 31
- 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
- Co-authors
- Helmuth HaslacherOswald WagnerChristoph J. BinderGeorg EndlerJoseph L. WitztumSohvi HörkköKarsten HartvigsenClaudia Marsik
- Journals
- PLoS ONE (8 papers)European Journal of Clinical Investigation (5 papers)Scientific Reports (4 papers)Blood (4 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (4 papers)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Thomas Perkmann
114 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 139
- Internal Medicine 138
- Immunology 762
- Infectious Diseases 663
- Hepatology 236
- Hematology 242
Countries citing papers authored by Thomas Perkmann
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 14 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 19 | |
| 9 | 2021 | 5 | |
| 10 | 2020 | 80 | |
| 11 | 2018 | 63 | |
| 12 | 2016 | 6 | |
| 13 | 2014 | 21 | |
| 14 | 2013 | 52 | |
| 15 | 2012 | 2 | |
| 16 | 2011 | 77 | |
| 17 | 2010 | 30 | |
| 18 | 2009 | 28 | |
| 19 | 2005 | 30 | |
| 20 | 2004 | 16 |
About Thomas Perkmann
Thomas Perkmann is a scholar working on Immunology, Infectious Diseases, Internal Medicine, Hematology and Clinical Biochemistry, 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), Blood Coagulation and Thrombosis Mechanisms (6 papers), SARS-CoV-2 detection and testing (6 papers), Clinical Laboratory Practices and Quality Control (6 papers), Immunodeficiency and Autoimmune Disorders (6 papers) and Systemic Sclerosis and Related Diseases (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 Linda Fogelstrand. 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.