Thomas Häupl
Impact in
- Rheumatology top 0.5%
- Rheumatoid Arthritis Research and Therapies
- Osteoarthritis Treatment and Mechanisms
- Systemic Lupus Erythematosus Research
- Genetics top 0.5%
- Mesenchymal stem cell research
Papers in
- Rheumatology 54
- Rheumatoid Arthritis Research and Therapies 28
- Systemic Lupus Erythematosus Research 20
- Osteoarthritis Treatment and Mechanisms 16
- Spondyloarthritis Studies and Treatments 8
- Genetics 14
- Mesenchymal stem cell research 13
- Co-authors
- Gerd R BurmesterHans Ulrich SchererJochen RingeMichael SittingerChristian KapsChristian JørgensenPierre CharbordPierre J. Marie
- Journals
- Annals of the Rheumatic Diseases (14 papers)Arthritis Research & Therapy (10 papers)Stem Cells (3 papers)Journal of Molecular Medicine (3 papers)Blood (2 papers)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Thomas Häupl
103 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Rheumatology 1.5k
- Genetics 1.0k
- Urology 330
- Immunology 859
- Immunology and Allergy 191
Countries citing papers authored by Thomas Häupl
This map shows the geographic impact of Thomas Häupl'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 Häupl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Häupl more than expected).
Fields of papers citing papers by Thomas Häupl
This network shows the impact of papers produced by Thomas Häupl. 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 Häupl. The network helps show where Thomas Häupl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Häupl, 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 | 2021 | 8 | |
| 3 | 2021 | 11 | |
| 4 | 2020 | 39 | |
| 5 | 2020 | 28 | |
| 6 | 2020 | 22 | |
| 7 | 2020 | 5 | |
| 8 | 2018 | 6 | |
| 9 | 2017 | 17 | |
| 10 | 2017 | 1 | |
| 11 | 2016 | 22 | |
| 12 | 2012 | 34 | |
| 13 | 2012 | 3 | |
| 14 | 2010 | 71 | |
| 15 | 2010 | 170 | |
| 16 | 2009 | 190 | |
| 17 | 2005 | 167 | |
| 18 | 2004 | 9 | |
| 19 | 2000 | 72 | |
| 20 | 1998 | 64 |
About Thomas Häupl
Thomas Häupl is a scholar working on Rheumatology, Genetics, Immunology, Urology and Hematology, having authored 105 papers that have together received 4.4k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (28 papers), Systemic Lupus Erythematosus Research (20 papers), Osteoarthritis Treatment and Mechanisms (16 papers), Mesenchymal stem cell research (13 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Cytokine Signaling Pathways and Interactions (9 papers), Spondyloarthritis Studies and Treatments (8 papers) and Autoimmune and Inflammatory Disorders Research (8 papers). The work is most often cited by research in Rheumatology (1.5k citations), Genetics (1.0k citations), Urology (330 citations), Immunology (859 citations) and Immunology and Allergy (191 citations). Thomas Häupl has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Gerd R Burmester, Hans Ulrich Scherer, Jochen Ringe, Michael Sittinger, Christian Kaps, Christian Jørgensen, Pierre Charbord, Pierre J. Marie, Andreas Grützkau and Bruno Delorme. Their work appears in journals such as Annals of the Rheumatic Diseases, Arthritis Research & Therapy, Stem Cells, Journal of Molecular Medicine and Blood.
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.