Torsten Diekhoff

2.8k total citations
131 papers, 1.8k citations indexed

About

Torsten Diekhoff is a scholar working on Rheumatology, Surgery and Orthopedics and Sports Medicine. According to data from OpenAlex, Torsten Diekhoff has authored 131 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Rheumatology, 40 papers in Surgery and 38 papers in Orthopedics and Sports Medicine. Recurrent topics in Torsten Diekhoff's work include Spondyloarthritis Studies and Treatments (57 papers), Bone and Joint Diseases (38 papers) and Rheumatoid Arthritis Research and Therapies (37 papers). Torsten Diekhoff is often cited by papers focused on Spondyloarthritis Studies and Treatments (57 papers), Bone and Joint Diseases (38 papers) and Rheumatoid Arthritis Research and Therapies (37 papers). Torsten Diekhoff collaborates with scholars based in Germany, United States and Canada. Torsten Diekhoff's co-authors include Kay‐Geert Hermann, Bernd Hamm, Denis Poddubnyy, Joachim Sieper, Katharina Ziegeler, Juliane Greese, Fabian Proft, Matthias Pumberger, R. Lambert and Marcus R. Makowski and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Torsten Diekhoff

122 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Torsten Diekhoff Germany 22 1.2k 496 475 382 325 131 1.8k
E D Silverman Canada 22 556 0.5× 152 0.3× 278 0.6× 133 0.3× 111 0.3× 37 1.3k
Nele Herregods Belgium 18 537 0.5× 307 0.6× 272 0.6× 110 0.3× 110 0.3× 73 949
Christian E. Althoff Germany 18 680 0.6× 287 0.6× 159 0.3× 99 0.3× 170 0.5× 39 1.1k
Jenny T. Bencardino United States 34 680 0.6× 1.2k 2.5× 2.4k 5.1× 404 1.1× 583 1.8× 134 3.5k
Joon‐Yong Jung South Korea 19 219 0.2× 193 0.4× 470 1.0× 206 0.5× 437 1.3× 80 1.3k
A. Chevrot France 20 522 0.4× 210 0.4× 902 1.9× 192 0.5× 115 0.4× 111 1.7k
I Haslock United Kingdom 18 674 0.6× 236 0.5× 316 0.7× 116 0.3× 29 0.1× 66 1.2k
Markus Walther Germany 22 539 0.5× 955 1.9× 871 1.8× 341 0.9× 50 0.2× 148 1.9k
Arthur H. Newberg United States 22 365 0.3× 493 1.0× 1.0k 2.2× 313 0.8× 75 0.2× 56 1.6k
Mario Maas Netherlands 23 194 0.2× 629 1.3× 817 1.7× 459 1.2× 210 0.6× 78 1.8k

Countries citing papers authored by Torsten Diekhoff

Since Specialization
Citations

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

Fields of papers citing papers by Torsten Diekhoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Torsten Diekhoff

This figure shows the co-authorship network connecting the top 25 collaborators of Torsten Diekhoff. A scholar is included among the top collaborators of Torsten Diekhoff 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 Torsten Diekhoff. Torsten Diekhoff 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.
Diekhoff, Torsten, et al.. (2025). Impact of femoral head size on the localization of proximal femur fractures: Retrospective analysis of 400 cases. Journal of Clinical Orthopaedics and Trauma. 65. 103007–103007.
2.
Ziegeler, Katharina, Fabian Proft, Mikhail Protopopov, et al.. (2024). Diagnostic accuracy in axial spondyloarthritis: a systematic evaluation of the role of clinical information in the interpretation of sacroiliac joint imaging. RMD Open. 10(2). e004044–e004044. 6 indexed citations
3.
Vahldiek, Janis L., Lina Xu, Marcus R. Makowski, et al.. (2024). Anatomy-centred deep learning improves generalisability and progression prediction in radiographic sacroiliitis detection. RMD Open. 10(4). e004628–e004628. 3 indexed citations
4.
Lambert, R., Xenofon Baraliakos, John A. Carrino, et al.. (2024). Development of international consensus on a standardised image acquisition protocol for diagnostic evaluation of the sacroiliac joints by MRI: an ASAS–SPARTAN collaboration. Annals of the Rheumatic Diseases. 83(12). 1628–1635. 18 indexed citations
5.
Ramiro, Sofía, Désirée van der Heijde, M. Reijnierse, et al.. (2024). Atlas for the CT Syndesmophyte Score (CTSS) in patients with axial spondyloarthritis. RMD Open. 10(1). e003702–e003702. 2 indexed citations
6.
Sudoł‐Szopińska, Iwona, et al.. (2024). Advanced Imaging of Gout and Other Inflammatory Diseases Around the Knee. Seminars in Musculoskeletal Radiology. 28(3). 337–351. 2 indexed citations
7.
Diekhoff, Torsten, et al.. (2023). Clash of the titans: Current CT and CT-like imaging modalities in sacroiliitis in spondyloarthritis. Best Practice & Research Clinical Rheumatology. 37(3). 101876–101876. 4 indexed citations
8.
Mews, Jürgen, et al.. (2023). Influence of contrast medium on tophus detection using dual-energy CT: phantom study and clinical illustration. European Radiology Experimental. 7(1). 43–43. 5 indexed citations
9.
Ziegeler, Katharina, Kay‐Geert Hermann, Fabian Proft, et al.. (2023). Dual-Energy-CT for Osteitis and Fat Lesions in Axial Spondyloarthritis: How Feasible Is Low-Dose Scanning?. Diagnostics. 13(4). 776–776. 6 indexed citations
10.
Diekhoff, Torsten, Denis Poddubnyy, Fabian Proft, et al.. (2023). New bone formation at the sacroiliac joint in axial spondyloarthritis: characterization of backfill in MRI and CT. Lara D. Veeken. 62(12). 3893–3898. 8 indexed citations
11.
Proft, Fabian, Torsten Diekhoff, Valeria Ríos Rodríguez, et al.. (2023). HLA-B27 status and inflammatory MRI lesions of the sacroiliac joints: a post hoc analysis in patients without axial spondyloarthritis. RMD Open. 9(3). e003357–e003357. 1 indexed citations
12.
Ziegeler, Katharina, Iris Eshed, Juliane Greese, et al.. (2023). Self-reported diagnostic confidence predicts diagnostic accuracy in axial spondyloarthritis imaging. Lara D. Veeken. 63(8). 2199–2204. 2 indexed citations
13.
Rademacher, Judith, Torsten Diekhoff, Hildrun Haibel, et al.. (2022). Keep an Eye on the Back: Spondyloarthritis in Patients With Acute Anterior Uveitis. Arthritis & Rheumatology. 75(2). 210–219. 18 indexed citations
14.
Ziegeler, Katharina, Denis Poddubnyy, Fabian Proft, et al.. (2022). Anatomical variation of the sacroiliac joint carries an increased risk for erosion and bone marrow oedema in axial spondyloarthritis. Lara D. Veeken. 62(3). 1117–1123. 15 indexed citations
15.
Hermann, Kay‐Geert, Katharina Ziegeler, Denis Poddubnyy, et al.. (2022). What amount of structural damage defines sacroiliitis: a CT study. RMD Open. 8(1). e001939–e001939. 14 indexed citations
16.
Ziegeler, Katharina, et al.. (2022). Virtual Monochromatic Images from Dual-Energy Computed Tomography Do Not Improve the Detection of Synovitis in Hand Arthritis. Diagnostics. 12(8). 1891–1891. 5 indexed citations
17.
Bressem, Keno K., Lisa C. Adams, Fabian Proft, et al.. (2022). Deep Learning Detects Changes Indicative of Axial Spondyloarthritis at MRI of Sacroiliac Joints. Radiology. 305(3). 655–665. 49 indexed citations
18.
Hermann, Kay‐Geert, et al.. (2021). Dual-energy computed tomography: Tube current settings and detection of uric acid tophi. European Journal of Radiology. 139. 109692–109692. 6 indexed citations
19.
Hermann, Kay‐Geert, Fabian Proft, Denis Poddubnyy, et al.. (2021). CT-like images of the sacroiliac joint generated from MRI using susceptibility-weighted imaging (SWI) in patients with axial spondyloarthritis. RMD Open. 7(2). e001656–e001656. 43 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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