Patrick Omoumi

4.3k total citations
146 papers, 2.8k citations indexed

About

Patrick Omoumi is a scholar working on Surgery, Rheumatology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Patrick Omoumi has authored 146 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Surgery, 55 papers in Rheumatology and 38 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Patrick Omoumi's work include Osteoarthritis Treatment and Mechanisms (33 papers), Lower Extremity Biomechanics and Pathologies (19 papers) and Bone and Joint Diseases (19 papers). Patrick Omoumi is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (33 papers), Lower Extremity Biomechanics and Pathologies (19 papers) and Bone and Joint Diseases (19 papers). Patrick Omoumi collaborates with scholars based in Switzerland, Belgium and France. Patrick Omoumi's co-authors include Frédéric Lecouvet, Jacques Malghem, Bruno C. Vande Berg, Fabio Becce, Bruno Berg, A. Larbi, Bertrand Tombal, Nicolas Michoux, Julien Favre and Francis R. Verdun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and Annals of the Rheumatic Diseases.

In The Last Decade

Patrick Omoumi

135 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Omoumi Switzerland 29 1.1k 937 827 658 454 146 2.8k
Kathryn J. Stevens United States 28 1.3k 1.3× 606 0.6× 473 0.6× 467 0.7× 526 1.2× 93 2.4k
Andréa S. Doria Canada 33 1.5k 1.4× 430 0.5× 650 0.8× 186 0.3× 347 0.8× 173 3.7k
Martin Uffmann Austria 24 468 0.4× 731 0.8× 1.3k 1.5× 411 0.6× 280 0.6× 59 2.8k
Johan L. Bloem Netherlands 35 1.2k 1.1× 665 0.7× 2.6k 3.1× 470 0.7× 552 1.2× 94 4.0k
Takatoshi Aoki Japan 26 466 0.4× 793 0.8× 455 0.6× 179 0.3× 93 0.2× 174 2.6k
Silvio Mazziotti Italy 31 661 0.6× 1.5k 1.6× 189 0.2× 1.2k 1.9× 92 0.2× 140 3.0k
Levon N. Nazarian United States 41 3.2k 3.0× 900 1.0× 357 0.4× 385 0.6× 1.3k 3.0× 139 4.6k
Ethan J. Halpern United States 44 1.5k 1.4× 2.5k 2.7× 712 0.9× 1.2k 1.8× 278 0.6× 174 5.3k
Matthieu Rutten Netherlands 26 647 0.6× 791 0.8× 86 0.1× 325 0.5× 107 0.2× 67 1.9k
Elmar Kotter Germany 27 775 0.7× 1.4k 1.5× 130 0.2× 727 1.1× 57 0.1× 112 2.7k

Countries citing papers authored by Patrick Omoumi

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Omoumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Omoumi

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Omoumi. A scholar is included among the top collaborators of Patrick Omoumi 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 Patrick Omoumi. Patrick Omoumi 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.
Omoumi, Patrick, et al.. (2026). How I Do It: Using the Dixon Method and Fat-Water Imaging in Musculoskeletal MRI. Radiology. 318(1). e250374–e250374.
2.
Gold, Garry E., et al.. (2026). Advances in cartilage imaging techniques. Nature Reviews Rheumatology. 22(4). 256–271.
3.
4.
Favre, Julien, et al.. (2024). Standardized maps – an emerging approach to leverage quantitative information in knee imaging. 4(4). 100251–100251. 2 indexed citations
5.
Jarraya, Mohamed, Dufan Wu, Ali Guermazi, et al.. (2024). Dual energy computed tomography cannot effectively differentiate between calcium pyrophosphate and basic calcium phosphate diseases in the clinical setting. SHILAP Revista de lepidopterología. 6(1). 100436–100436. 6 indexed citations
6.
Bisig, Bettina, Baptiste Guey, Edoardo Missiaglia, et al.. (2024). Follicular Lymphoma Presenting With Symptomatic Bone Involvement: A Clinicopathologic and Molecular Analysis of 16 Cases. Modern Pathology. 37(4). 100440–100440. 1 indexed citations
7.
Gitto, Salvatore, Renato Cuocolo, Merel Huisman, et al.. (2024). CT and MRI radiomics of bone and soft-tissue sarcomas: an updated systematic review of reproducibility and validation strategies. Insights into Imaging. 15(1). 54–54. 17 indexed citations
8.
Lalonde, Marie Nicod, et al.. (2023). Advances in Bone Marrow Imaging: Strengths and Limitations from a Clinical Perspective. Seminars in Musculoskeletal Radiology. 27(1). 3–21. 10 indexed citations
9.
Kuhn, Simon, Aurélien Bustin, Jean‐Baptiste Ledoux, et al.. (2023). Improved accuracy and precision of fat-suppressed isotropic 3D T2 mapping MRI of the knee with dictionary fitting and patch-based denoising. European Radiology Experimental. 7(1). 25–25. 3 indexed citations
10.
Nguyen‐Ngoc, Tu, et al.. (2023). Overview of Pharmacological Therapies for Diffuse Tenosynovial Giant Cell Tumor. SHILAP Revista de lepidopterología. 3(4). 926–937. 1 indexed citations
11.
Erhart‐Hledik, Jennifer C., Jessica L. Asay, Patrick Omoumi, et al.. (2023). Diverse parameters of ambulatory knee moments differ with medial knee osteoarthritis severity and are combinable into a severity index. Frontiers in Bioengineering and Biotechnology. 11. 1176471–1176471. 2 indexed citations
12.
Malghem, Jacques, Frédéric Lecouvet, Bruno Berg, Thomas Kirchgesner, & Patrick Omoumi. (2023). Subchondral insufficiency fractures, subchondral insufficiency fractures with osteonecrosis, and other apparently spontaneous subchondral bone lesions of the knee—pathogenesis and diagnosis at imaging. Insights into Imaging. 14(1). 164–164. 5 indexed citations
13.
Yu, Thomas, Tom Hilbert, Arun Joseph, et al.. (2022). Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI. 1(September 2022). 1–31. 5 indexed citations
14.
15.
Roemer, Frank W., Ali Guermazi, Michael J. Hannon, et al.. (2021). Presence of Magnetic Resonance Imaging–Defined Inflammation Particularly in Overweight and Obese Women Increases Risk of Radiographic Knee Osteoarthritis: The POMA Study. Arthritis Care & Research. 74(8). 1391–1398. 22 indexed citations
16.
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
17.
Roemer, Frank W., Shadpour Demehri, Patrick Omoumi, et al.. (2020). State of the Art: Imaging of Osteoarthritis—Revisited 2020. Radiology. 296(1). 5–21. 111 indexed citations
18.
Larbi, A., Patrick Omoumi, Vassiliki Pasoglou, et al.. (2019). Comparison of bone lesion distribution between prostate cancer and multiple myeloma with whole-body MRI. Diagnostic and Interventional Imaging. 100(5). 295–302. 11 indexed citations
19.
Omoumi, Patrick, et al.. (2018). Can we assess healing of surgically treated long bone fractures on radiograph?. Diagnostic and Interventional Imaging. 99(6). 381–386. 8 indexed citations
20.
Malghem, Jacques, Frédéric Lecouvet, Patrick Omoumi, Baudouin Maldague, & Bruno C. Vande Berg. (2012). Iconography : Necrotizing fasciitis: Contribution and limitations of diagnostic imaging.

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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