F. Eckstein

30.5k total citations · 3 hit papers
610 papers, 24.0k citations indexed

About

F. Eckstein is a scholar working on Rheumatology, Surgery and Biomedical Engineering. According to data from OpenAlex, F. Eckstein has authored 610 papers receiving a total of 24.0k indexed citations (citations by other indexed papers that have themselves been cited), including 413 papers in Rheumatology, 397 papers in Surgery and 250 papers in Biomedical Engineering. Recurrent topics in F. Eckstein's work include Osteoarthritis Treatment and Mechanisms (409 papers), Lower Extremity Biomechanics and Pathologies (223 papers) and Total Knee Arthroplasty Outcomes (203 papers). F. Eckstein is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (409 papers), Lower Extremity Biomechanics and Pathologies (223 papers) and Total Knee Arthroplasty Outcomes (203 papers). F. Eckstein collaborates with scholars based in Germany, Austria and United States. F. Eckstein's co-authors include W. Wirth, Karl‐Hans Englmeier, Maximilian F. Reiser, Ali Guermazi, M. Hudelmaier, Eva‐Maria Lochmüller, David J. Hunter, Reinhard Putz, Tobias Stammberger and Frank W. Roemer and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

F. Eckstein

593 papers receiving 23.5k citations

Hit Papers

Effects of Intensive Diet... 2002 2026 2010 2018 2013 2002 2019 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
F. Eckstein 14.4k 14.1k 8.9k 6.0k 1.9k 610 24.0k
Ali Guermazi 19.7k 1.4× 17.8k 1.3× 8.3k 0.9× 7.0k 1.2× 975 0.5× 783 32.5k
Van C. Mow 12.9k 0.9× 16.0k 1.1× 10.6k 1.2× 4.1k 0.7× 3.7k 2.0× 231 29.2k
Jukka S. Jurvelin 9.1k 0.6× 7.9k 0.6× 6.2k 0.7× 4.3k 0.7× 764 0.4× 374 17.0k
Sharmila Majumdar 8.2k 0.6× 9.8k 0.7× 7.7k 0.9× 10.7k 1.8× 1.3k 0.7× 552 27.0k
Thomas M. Link 5.8k 0.4× 8.2k 0.6× 4.6k 0.5× 6.1k 1.0× 911 0.5× 394 18.1k
Jan A.N. Verhaar 5.8k 0.4× 14.1k 1.0× 3.8k 0.4× 7.5k 1.3× 1.7k 0.9× 427 22.0k
Frank W. Roemer 11.7k 0.8× 9.8k 0.7× 4.7k 0.5× 4.9k 0.8× 406 0.2× 536 17.3k
Gerard A. Ateshian 10.6k 0.7× 9.4k 0.7× 7.3k 0.8× 2.1k 0.3× 713 0.4× 301 19.1k
J.A. Lynch 6.7k 0.5× 5.7k 0.4× 3.3k 0.4× 2.1k 0.4× 1.4k 0.7× 366 13.6k
Hideki Yoshikawa 4.0k 0.3× 11.5k 0.8× 2.8k 0.3× 3.1k 0.5× 1.8k 1.0× 665 19.9k

Countries citing papers authored by F. Eckstein

Since Specialization
Citations

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

Fields of papers citing papers by F. Eckstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Eckstein

This figure shows the co-authorship network connecting the top 25 collaborators of F. Eckstein. A scholar is included among the top collaborators of F. Eckstein 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 F. Eckstein. F. Eckstein 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.
Kwoh, C. Kent, Robert M. Boudreau, F. Eckstein, et al.. (2025). A virtual knee replacement (vKR) multi-component endpoint for knee osteoarthritis based on patient-reported PROs: Data from the Osteoarthritis Initiative. Osteoarthritis and Cartilage. 33(11). 1372–1381.
2.
Eckstein, F., Reinhard Putz, & W. Wirth. (2024). Sexual dimorphism in peri-articular tissue anatomy – More keys to understanding sex-differences in osteoarthritis?. SHILAP Revista de lepidopterología. 6(3). 100485–100485. 2 indexed citations
3.
Eckstein, F., S. Maschek, W. Wirth, et al.. (2024). Is detection of disease-modifying osteoarthritis drug treatment more effective when performing cartilage morphometry without blinding to MR image acquisition order?. Osteoarthritis and Cartilage. 32(10). 1346–1351. 4 indexed citations
4.
Arbabi, Vahid, Willem Paul Gielis, Claudia Lindner, et al.. (2024). Effects of Knee Flexion on Minimal Joint Space Width Increase in Knee Osteoarthritis Patients in the IMI-APPROACH cohort. Osteoarthritis and Cartilage. 32(6). 804–805. 1 indexed citations
5.
Jansen, Mylène P., Diana Hodgins, S.C. Mastbergen, et al.. (2024). Association between progression of knee osteoarthritis pathology and gait changes over two years: Data from the IMI-APPROACH cohort. 4(3). 100232–100232. 1 indexed citations
7.
Eckstein, F., S. Maschek, W. Wirth, et al.. (2024). Unbiased analysis of knee cartilage thickness change over three years after sprifermin vs. placebo treatment – A post-hoc analysis from the phase 2B FORWARD study. SHILAP Revista de lepidopterología. 6(4). 100513–100513. 3 indexed citations
8.
Eckstein, F., Nicholas M. Brisson, S. Maschek, et al.. (2024). Clinical validation of fully automated laminar knee cartilage transverse relaxation time (T2) analysis in anterior cruciate ligament (ACL)-injured knees— on behalf of the osteoarthritis (OA)-Bio consortium. Quantitative Imaging in Medicine and Surgery. 14(7). 4319–4332. 4 indexed citations
10.
Hunter, David J., Leticia A. Deveza, Jamie E. Collins, et al.. (2021). Multivariable Modeling of Biomarker Data From the Phase I Foundation for the National Institutes of Health Osteoarthritis Biomarkers Consortium. Arthritis Care & Research. 74(7). 1142–1153. 38 indexed citations
12.
Hunter, David J., Jamie E. Collins, Rebecca Asher, et al.. (2020). Association of baseline and change in tibial and femoral cartilage thickness and development of widespread full-thickness cartilage loss in knee osteoarthritis – data from the Osteoarthritis Initiative. Osteoarthritis and Cartilage. 28(6). 811–818. 16 indexed citations
13.
Meng, Tao, Benny Antony, Alison Venn, et al.. (2019). Association of body composition, physical activity and physical performance with knee cartilage thickness and bone area in young adults. Lara D. Veeken. 59(7). 1607–1616. 4 indexed citations
15.
Roemer, Frank W., C. Kent Kwoh, Tomoko Fujii, et al.. (2018). From Early Radiographic Knee Osteoarthritis to Joint Arthroplasty: Determinants of Structural Progression and Symptoms. Arthritis Care & Research. 70(12). 1778–1786. 20 indexed citations
16.
Bennell, Kim L., Joanna Makovey, Ben Metcalf, et al.. (2016). Relationship of Buckling and Knee Injury to Pain Exacerbation in Knee Osteoarthritis: A Web-Based Case-Crossover Study. Interactive Journal of Medical Research. 5(2). e17–e17. 20 indexed citations
17.
Hunter, David J., Roy D. Altman, Flavia Cicuttini, et al.. (2015). OARSI Clinical Trials Recommendations: Knee imaging in clinical trials in osteoarthritis. Osteoarthritis and Cartilage. 23(5). 698–715. 113 indexed citations
18.
Guermazi, Ali, F. Eckstein, David J. Hunter, & Frank W. Roemer. (2015). 7th International Workshop on Osteoarthritis Imaging report: “imaging in OA – now is the time to move ahead”. Osteoarthritis and Cartilage. 23(6). 888–896. 1 indexed citations
19.
Stammberger, Tobias, F. Eckstein, Karl‐Hans Englmeier, & Maximilian F. Reiser. (1999). Determination of 3D cartilage thickness data from MR imaging: Computational method and reproducibility in the living. Magnetic Resonance in Medicine. 41(3). 529–536. 153 indexed citations
20.
Stammberger, Tobias, F. Eckstein, Karl‐Hans Englmeier, & Maximilian F. Reiser. (1999). Determination of 3D cartilage thickness data from MR imaging: Computational method and reproducibility in the living. Magnetic Resonance in Medicine. 41(3). 529–536. 17 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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