Thomas Hügle

5.0k total citations
160 papers, 3.4k citations indexed

About

Thomas Hügle is a scholar working on Rheumatology, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Thomas Hügle has authored 160 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Rheumatology, 33 papers in Surgery and 29 papers in Pathology and Forensic Medicine. Recurrent topics in Thomas Hügle's work include Rheumatoid Arthritis Research and Therapies (41 papers), Osteoarthritis Treatment and Mechanisms (26 papers) and Systemic Sclerosis and Related Diseases (22 papers). Thomas Hügle is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (41 papers), Osteoarthritis Treatment and Mechanisms (26 papers) and Systemic Sclerosis and Related Diseases (22 papers). Thomas Hügle collaborates with scholars based in Switzerland, Germany and United States. Thomas Hügle's co-authors include Jeroen Geurts, Jacob M. van Laar, Víctor Valderrábano, Steven O’Reilly, Dieter Lentz, Moritz F. Kühnel, Christian Egloff, Elke Bieck, Hubert E. Blum and Darius Moradpour and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Thomas Hügle

146 papers receiving 3.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Hügle Switzerland 31 941 524 518 500 456 160 3.4k
Thomas D. Coates United States 56 439 0.5× 480 0.9× 971 1.9× 158 0.3× 892 2.0× 296 9.8k
Marie‐Christophe Boissier France 47 1.9k 2.0× 373 0.7× 1.8k 3.4× 595 1.2× 486 1.1× 227 7.2k
David J. Cohen United States 43 361 0.4× 2.8k 5.3× 620 1.2× 167 0.3× 751 1.6× 152 7.0k
Russell E. Ware United States 63 712 0.8× 558 1.1× 1.7k 3.2× 220 0.4× 812 1.8× 410 15.7k
Shunsuke Mori Japan 41 880 0.9× 511 1.0× 837 1.6× 307 0.6× 1.2k 2.5× 233 6.3k
Frans H.M. Corstens Netherlands 53 383 0.4× 2.1k 4.1× 2.2k 4.2× 361 0.7× 963 2.1× 244 9.6k
Piergiorgio Messa Italy 48 1.5k 1.5× 849 1.6× 750 1.4× 712 1.4× 2.4k 5.2× 330 7.9k
Joseph L. Chin Canada 51 1.4k 1.4× 2.9k 5.5× 1.5k 3.0× 163 0.3× 321 0.7× 340 11.1k
Salomon M. Stemmer Israel 46 218 0.2× 548 1.0× 2.0k 3.9× 535 1.1× 617 1.4× 237 8.5k
Lioe‐Fee de Geus‐Oei Netherlands 39 207 0.2× 1.3k 2.5× 1.4k 2.7× 322 0.6× 540 1.2× 238 7.7k

Countries citing papers authored by Thomas Hügle

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Hügle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Hügle

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Hügle. A scholar is included among the top collaborators of Thomas Hügle based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Hügle. Thomas Hügle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chan, Antoni, Johannes Knitza, Vincenzo Venerito, et al.. (2025). Five years of the Digital Rheumatology Network: insights and future directions. 1(3). 89–98.
3.
Haro, Diego, et al.. (2024). Systemic and joint adipose tissue lipids and their role in osteoarthritis. Biochimie. 227(Pt B). 130–138. 9 indexed citations
4.
Hügle, Thomas, et al.. (2024). Development of a deep learning model for automated detection of calcium pyrophosphate deposition in hand radiographs. Frontiers in Medicine. 11. 1431333–1431333. 2 indexed citations
5.
Hügle, Thomas, et al.. (2024). Patients with refractory musculoskeletal pain syndromes undergoing a multimodal assessment and therapy programme: a cross-sectional study. Swiss Medical Weekly. 154(10). 3466–3466. 1 indexed citations
6.
Hügle, Thomas, et al.. (2024). Development of a Management App for Postviral Fibromyalgia-Like Symptoms: Patient Preference-Guided Approach. JMIR Formative Research. 8. e50832–e50832. 2 indexed citations
7.
Brandt, Lena, Hendrik Schulze‐Koops, Thomas Hügle, et al.. (2024). Radiographic Progression in Patients with Rheumatoid Arthritis in Clinical Remission or Low Disease Activity: Results from a Swiss National Registry (SCQM). Journal of Clinical Medicine. 13(23). 7424–7424. 1 indexed citations
8.
Hügle, Thomas, et al.. (2024). Virtual reality as a treatment for chronic musculoskeletal pain syndromes. Joint Bone Spine. 92(1). 105769–105769. 10 indexed citations
9.
Gupta, Latika, Martin Krusche, Vincenzo Venerito, & Thomas Hügle. (2023). Harnessing the potential of digital rheumatology. Health Policy and Technology. 12(1). 100730–100730. 1 indexed citations
10.
Hügle, Thomas, et al.. (2022). An mHealth App for Fibromyalgia-like Post–COVID-19 Syndrome: Protocol for the Analysis of User Experience and Clinical Data. JMIR Research Protocols. 11(2). e32193–e32193. 7 indexed citations
11.
Hügle, Thomas, et al.. (2022). Dorsal Finger Fold Recognition by Convolutional Neural Networks for the Detection and Monitoring of Joint Swelling in Patients with Rheumatoid Arthritis. SHILAP Revista de lepidopterología. 6(2). 31–35. 18 indexed citations
12.
Kalweit, Gabriel, Ulrich A. Walker, Axel Finckh, et al.. (2021). Personalized prediction of disease activity in patients with rheumatoid arthritis using an adaptive deep neural network. PLoS ONE. 16(6). e0252289–e0252289. 26 indexed citations
13.
Raja, Aamir, Anaïs Viry, Sylvain Steinmetz, et al.. (2021). Multi-energy photon-counting computed tomography versus other clinical imaging techniques for the identification of articular calcium crystal deposition. Lara D. Veeken. 60(5). 2483–2485. 22 indexed citations
14.
Williams, Ross D., et al.. (2021). Prediction of sustained biologic and targeted synthetic DMARD-free remission in rheumatoid arthritis patients. Rheumatology Advances in Practice. 5(3). rkab087–rkab087. 4 indexed citations
15.
Pascart, Tristan, et al.. (2020). Non-invasive characterization of intra-articular mineralization using dual-energy computed tomography. Lara D. Veeken. 59(12). 3997–3998. 3 indexed citations
16.
Huq, Ashfia, Melanie Kirkham, Peter F. Peterson, et al.. (2019). POWGEN: rebuild of a third-generation powder diffractometer at the Spallation Neutron Source. Journal of Applied Crystallography. 52(5). 1189–1201. 73 indexed citations
17.
Dumusc, Alexandre & Thomas Hügle. (2018). Arthrite réactionnelle [Reactive arthritis]. IRIS. 2 indexed citations
18.
Hügle, Thomas, et al.. (2018). [Pain and osteoarthritis].. PubMed. 14(612). 1287–1290. 1 indexed citations
19.
20.
Hügle, Thomas, et al.. (1994). Vergleichende Messung zur NH3-Emission. 49(6). 362–363. 3 indexed citations

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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