Ali Mobasheri

26.9k total citations · 10 hit papers
394 papers, 19.5k citations indexed

About

Ali Mobasheri is a scholar working on Rheumatology, Molecular Biology and Pharmacology. According to data from OpenAlex, Ali Mobasheri has authored 394 papers receiving a total of 19.5k indexed citations (citations by other indexed papers that have themselves been cited), including 202 papers in Rheumatology, 148 papers in Molecular Biology and 90 papers in Pharmacology. Recurrent topics in Ali Mobasheri's work include Osteoarthritis Treatment and Mechanisms (195 papers), Inflammatory mediators and NSAID effects (68 papers) and Rheumatoid Arthritis Research and Therapies (34 papers). Ali Mobasheri is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (195 papers), Inflammatory mediators and NSAID effects (68 papers) and Rheumatoid Arthritis Research and Therapies (34 papers). Ali Mobasheri collaborates with scholars based in United Kingdom, Lithuania and Finland. Ali Mobasheri's co-authors include Mehdi Shakibaei, Giuseppe Musumeci, Yves Henrotin, Constanze Buhrmann, David Marples, Masoud Mozafari, Oreste Gualillo, Csaba Matta, Maryam Rahmati and Mark E. Batt and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ali Mobasheri

381 papers receiving 19.1k citations

Hit Papers

The role of metabolism in the pathogenesis of osteoarthritis 2015 2026 2018 2022 2017 2020 2017 2015 2020 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The role of metabolism in the pathogenesis of osteoarthritis
    2017 550 citations Ali Mobasheri, Margaret P. Rayman et al. profile →
  2. The role of metabolism in chondrocyte dysfunction and the progression of osteoarthritis
    2020 497 citations Ali Mobasheri et al. profile →
  3. Aging and osteoarthritis: Central role of the extracellular matrix
    2017 414 citations Ali Mobasheri et al. profile →
  4. Mesenchymal stem cells in regenerative medicine: Focus on articular cartilage and intervertebral disc regeneration
    2015 383 citations Kalamegam Gauthaman, Csaba Matta et al. profile →
  5. Non-surgical management of knee osteoarthritis: comparison of ESCEO and OARSI 2019 guidelines
    2020 344 citations Nigel Arden, Thomas A. Perry et al. profile →
  6. Inflammatory mediators in osteoarthritis: A critical review of the state-of-the-art, current prospects, and future challenges
    2016 308 citations Ali Mobasheri et al. profile →
  7. An update on the pathophysiology of osteoarthritis
    2016 303 citations Ali Mobasheri et al. profile →
  8. A new immunometabolic perspective of intervertebral disc degeneration
    2021 297 citations Ali Mobasheri et al. profile →
  9. Early-stage symptomatic osteoarthritis of the knee — time for action
    2021 262 citations Ali Mobasheri et al. profile →
  10. Osteoarthritis endotype discovery via clustering of biochemical marker data
    2022 97 citations Ali Mobasheri, C. Ladel et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Mobasheri United Kingdom 73 8.5k 7.1k 3.4k 3.0k 2.2k 394 19.5k
Francisco J. Blanco Spain 69 9.1k 1.1× 5.3k 0.7× 2.8k 0.8× 2.7k 0.9× 2.2k 1.0× 612 18.7k
Richard F. Loeser United States 73 13.7k 1.6× 5.4k 0.8× 4.4k 1.3× 4.6k 1.5× 2.7k 1.2× 263 21.8k
Francis Bérenbaum France 68 13.0k 1.5× 4.2k 0.6× 5.1k 1.5× 4.5k 1.5× 1.7k 0.8× 417 20.6k
Di Chen United States 76 6.3k 0.7× 11.0k 1.6× 2.2k 0.6× 2.2k 0.7× 3.0k 1.4× 314 21.3k
Mary B. Goldring United States 73 14.5k 1.7× 8.0k 1.1× 4.6k 1.3× 3.6k 1.2× 4.3k 2.0× 226 23.3k
M.A. Karsdal Denmark 78 7.3k 0.9× 7.8k 1.1× 2.8k 0.8× 3.8k 1.3× 2.9k 1.3× 860 25.4k
Virginia B. Kraus United States 80 13.7k 1.6× 4.6k 0.7× 4.3k 1.3× 6.7k 2.2× 1.5k 0.7× 460 23.8k
Steven R. Goldring United States 66 9.9k 1.2× 7.6k 1.1× 2.5k 0.7× 4.7k 1.6× 2.2k 1.0× 192 19.9k
Jean‐Pierre Pelletier Canada 75 14.2k 1.7× 5.4k 0.8× 5.7k 1.7× 4.2k 1.4× 3.2k 1.5× 338 22.3k
Mehdi Shakibaei Germany 72 2.8k 0.3× 5.3k 0.7× 2.0k 0.6× 1.8k 0.6× 1.7k 0.8× 260 14.7k

Countries citing papers authored by Ali Mobasheri

Since Specialization
Citations

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

Fields of papers citing papers by Ali Mobasheri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Mobasheri

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Mobasheri. A scholar is included among the top collaborators of Ali Mobasheri 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 Ali Mobasheri. Ali Mobasheri 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.
Bagdonas, Edvardas, Gailutė Kirdaitė, Asta Kausaite‐Minkstimiene, et al.. (2025). Development of a Sensitive Quantum Dot-Linked Immunoassay for the Multiplex Detection of Biochemical Markers in a Microvolumeric Format. International Journal of Nanomedicine. Volume 20. 1717–1729.
2.
Ellis, R., et al.. (2025). Gene therapy pipelines for osteoarthritis: current innovations, operational challenges, and future directions. Connective Tissue Research. 66(5). 458–465. 2 indexed citations
3.
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5.
Francesco, Francesco De, Andrea Sbarbati, Nicola Zingaretti, et al.. (2024). Anatomy, Histology, and Embryonic Origin of Adipose Tissue: Insights to Understand Adipose Tissue Homofunctionality in Regeneration and Therapies. Advances in experimental medicine and biology. 1474. 53–78. 3 indexed citations
6.
Xiao, Wenfeng, Wenqing Xie, Qin Ru, et al.. (2023). Insights into the Notch signaling pathway in degenerative musculoskeletal disorders: Mechanisms and perspectives. Biomedicine & Pharmacotherapy. 169. 115884–115884. 9 indexed citations
7.
Uzielienè, Ilona, et al.. (2023). The Effect of CaV1.2 Inhibitor Nifedipine on Chondrogenic Differentiation of Human Bone Marrow or Menstrual Blood-Derived Mesenchymal Stem Cells and Chondrocytes. International Journal of Molecular Sciences. 24(7). 6730–6730. 5 indexed citations
8.
Bay‐Jensen, Anne‐Christine, Ali Mobasheri, Christian S. Thudium, Virginia B. Kraus, & M.A. Karsdal. (2022). Blood and urine biomarkers in osteoarthritis:an update on cartilage associated type II collagen and aggrecan markers. University of Oulu Repository (University of Oulu). 38 indexed citations
9.
Seo, Jinwon, Kiwon Park, Thomas A. Perry, et al.. (2022). The current state of the osteoarthritis drug development pipeline: a comprehensive narrative review of the present challenges and future opportunities. Therapeutic Advances in Musculoskeletal Disease. 14. 1759720X221085952–1759720X221085952. 27 indexed citations
10.
11.
Dallo, Ignácio, Riccardo D’Ambrosi, Dawid Szwedowski, Ali Mobasheri, & Alberto Gobbi. (2022). Minimally Invasive Cell-Based Therapy for Symptomatic Bone Marrow Lesions of the Knee: A Prospective Clinical Study at 1 Year. Stem Cells and Development. 31(15-16). 488–497. 3 indexed citations
12.
Oo, Win Min, Ali Mobasheri, & David J. Hunter. (2022). A narrative review of anti-obesity medications for obese patients with osteoarthritis. Expert Opinion on Pharmacotherapy. 23(12). 1381–1395. 6 indexed citations
13.
14.
Lewis, Rebecca, C. Gomez, Margaret P. Rayman, et al.. (2019). Strategies for optimising musculoskeletal health in the 21st century. BMC Musculoskeletal Disorders. 20(1). 164–164. 117 indexed citations
15.
Matta, Csaba, David J. Boocock, Christopher R. Fellows, et al.. (2019). Molecular phenotyping of the surfaceome of migratory chondroprogenitors and mesenchymal stem cells using biotinylation, glycocapture and quantitative LC-MS/MS proteomic analysis. Scientific Reports. 9(1). 30 indexed citations
16.
Gauthaman, Kalamegam, Mohammed Abbas, Mamdooh Gari, et al.. (2016). Pelleted Bone Marrow Derived Mesenchymal Stem Cells Are Better Protected from the Deleterious Effects of Arthroscopic Heat Shock. Frontiers in Physiology. 7. 180–180. 14 indexed citations
17.
Musumeci, Giuseppe, et al.. (2015). Osteoarthritis in the XXIst Century: Risk Factors and Behaviours that Influence Disease Onset and Progression. International Journal of Molecular Sciences. 16(3). 6093–6112. 282 indexed citations
18.
Swan, Anna, Ali Mobasheri, David Allaway, Susan Liddell, & Jaume Bacardit. (2013). Application of Machine Learning to Proteomics Data: Classification and Biomarker Identification in Postgenomics Biology. OMICS A Journal of Integrative Biology. 17(12). 595–610. 169 indexed citations
19.
Buhrmann, Constanze, Ali Mobasheri, Franziska Busch, et al.. (2011). Curcumin Modulates Nuclear Factor κB (NF-κB)-mediated Inflammation in Human Tenocytes in Vitro. Journal of Biological Chemistry. 286(32). 28556–28566. 206 indexed citations
20.
Mobasheri, Ali, Rachel Airley, Christopher S. Foster, Gundula Schulze‐Tanzil, & Mehdi Shakibaei. (2004). Post-genomic applications of tissue microarrays: basic research, prognostic oncology, clinical genomics and drug discovery.. PubMed. 19(1). 325–35. 32 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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