Timothy McAlindon

1.3k total citations
22 papers, 797 citations indexed

About

Timothy McAlindon is a scholar working on Rheumatology, Pharmacology and Surgery. According to data from OpenAlex, Timothy McAlindon has authored 22 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Rheumatology, 8 papers in Pharmacology and 5 papers in Surgery. Recurrent topics in Timothy McAlindon's work include Osteoarthritis Treatment and Mechanisms (12 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers) and Musculoskeletal pain and rehabilitation (4 papers). Timothy McAlindon is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (12 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers) and Musculoskeletal pain and rehabilitation (4 papers). Timothy McAlindon collaborates with scholars based in United States, United Kingdom and Netherlands. Timothy McAlindon's co-authors include Robert Kalish, Christopher H. Schmid, Ramel Rones, Chenchen Wang, Janeth Yinh, Don L. Goldenberg, Yoojin Lee, Jeffrey B. Driban, Elizaveta E. Vaysbrot and Raveendhara R. Bannuru and has published in prestigious journals such as New England Journal of Medicine, Annals of Internal Medicine and BMJ.

In The Last Decade

Timothy McAlindon

20 papers receiving 765 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy McAlindon United States 11 278 224 191 153 102 22 797
M.H. Elleuch Tunisia 17 116 0.4× 251 1.1× 188 1.0× 324 2.1× 153 1.5× 97 971
S. Ghroubi Tunisia 16 97 0.3× 229 1.0× 114 0.6× 259 1.7× 151 1.5× 73 788
Dilek Durmuş Türkiye 21 231 0.8× 288 1.3× 380 2.0× 219 1.4× 88 0.9× 48 1.1k
Leica S. Claydon United Kingdom 19 108 0.4× 245 1.1× 137 0.7× 339 2.2× 77 0.8× 43 1.1k
Türkan Akbayrak Türkiye 22 221 0.8× 331 1.5× 225 1.2× 336 2.2× 38 0.4× 87 1.2k
Cid André Fidelis de Paula Gomes Brazil 17 96 0.3× 270 1.2× 113 0.6× 115 0.8× 94 0.9× 104 874
Eleuterio A. Sánchez Romero Spain 21 165 0.6× 308 1.4× 177 0.9× 199 1.3× 118 1.2× 87 1.1k
Nilay Şahin Türkiye 15 98 0.4× 198 0.9× 123 0.6× 192 1.3× 60 0.6× 49 697
Mariana Arias Ávila Brazil 16 170 0.6× 248 1.1× 83 0.4× 260 1.7× 139 1.4× 84 763
Vincenzo Maria Saraceni Italy 15 137 0.5× 250 1.1× 49 0.3× 205 1.3× 158 1.5× 41 800

Countries citing papers authored by Timothy McAlindon

Since Specialization
Citations

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

Fields of papers citing papers by Timothy McAlindon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy McAlindon

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy McAlindon. A scholar is included among the top collaborators of Timothy McAlindon 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 Timothy McAlindon. Timothy McAlindon 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.
Castro, Francisco, et al.. (2024). Literature Review to Understand the Burden and Current Non-surgical Management of Moderate–Severe Pain Associated with Knee Osteoarthritis. Rheumatology and Therapy. 11(6). 1457–1499. 4 indexed citations
2.
3.
Oderda, Gary M., Jacob Eifer Møller, Diana Brixner, et al.. (2021). The patient journey in knee osteoarthritis-variations in diagnosis, patient characteristics, and treatment by physician specialty. Osteoarthritis and Cartilage. 29. S281–S282. 1 indexed citations
4.
Zhang, Ming, et al.. (2021). Automated Hand Osteoarthritis Classification Using Convolutional Neural Networks. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). 1487–1494.
5.
Yazıcı, Yusuf, J. Tambiah, Sarah J. Kennedy, et al.. (2019). Comparison of intra-articular sham and vehicle injection from a phase 2b trial of SM04690, a small-molecule Wnt inhibitor, for knee osteoarthritis. Osteoarthritis and Cartilage. 27. S241–S242. 2 indexed citations
6.
7.
Wang, Chenchen, Christopher H. Schmid, Roger A. Fielding, et al.. (2018). Effect of tai chi versus aerobic exercise for fibromyalgia: comparative effectiveness randomized controlled trial. BMJ. 360. k851–k851. 153 indexed citations
8.
Yinh, Janeth, et al.. (2018). Two cases of sarcoidosis presenting as longitudinally extensive transverse myelitis. Clinical Rheumatology. 37(10). 2899–2905. 9 indexed citations
9.
Runhaar, J., R.M. Rozendaal, Marienke van Middelkoop, et al.. (2017). SAT0523 No treatment effects of oral glucosamine for subgroups of knee and hip osteoarthritis patients; an individual patient data meta-analysis from the oa trial bank. Annals of the Rheumatic Diseases. 76. 973–974. 1 indexed citations
10.
Pang, Jincheng, Jeffrey B. Driban, Timothy McAlindon, et al.. (2014). On the use of coupled shape priors for segmentation of magnetic resonance images of the knee. IEEE Journal of Biomedical and Health Informatics. 19(3). 1–1. 10 indexed citations
11.
Bannuru, Raveendhara R., et al.. (2014). High-Energy Extracorporeal Shock-Wave Therapy for Treating Chronic Calcific Tendinitis of the Shoulder. Annals of Internal Medicine. 160(8). 542–549. 85 indexed citations
12.
McAlindon, Timothy. (2011). Osteoarthritis Research Society International (OARSI) Classification and Guidelines. HSS Journal® The Musculoskeletal Journal of Hospital for Special Surgery. 8(1). 66–67. 9 indexed citations
13.
Pang, Jincheng, Eric L. Miller, Jeffrey B. Driban, Anna M. Tassinari, & Timothy McAlindon. (2011). A curve evolution method for identifying weak edges with applications to the segmentation of magnetic resonance images of the knee. 71. 1410–1415. 3 indexed citations
14.
15.
Wang, Chenchen, Christopher H. Schmid, Ramel Rones, et al.. (2010). A Randomized Trial of Tai Chi for Fibromyalgia. New England Journal of Medicine. 363(8). 743–754. 314 indexed citations
16.
Schmid, Christopher H., et al.. (2010). 329 INFLUENCE OF TAI CHI EXERCISE ON PROPRIOCEPTION IN PATIENTS WITH KNEE OSTEOARTHRITIS: RESULTS FROM A PILOT RANDOMIZED CONTROLLED TRIAL. Osteoarthritis and Cartilage. 18. S145–S146. 1 indexed citations
17.
Schmid, Christopher H., Ramel Rones, Robert Kalish, et al.. (2010). A Randomized Trial of Tai Chi for Fibromyalgia1. Deutsche Zeitschrift für Akupunktur. 53(4). 40–41. 24 indexed citations
18.
McAlindon, Timothy. (2000). Update on the epidemiology of systemic lupus erythematosus: new spins on old ideas. Current Opinion in Rheumatology. 12(2). 104–112. 13 indexed citations
19.
Fraenkel, Liana, Ronenn Roubenoff, Michael P. LaValley, et al.. (1998). The association of peripheral monocyte derived interleukin 1beta (IL-1beta), IL-1 receptor antagonist, and tumor necrosis factor-alpha with osteoarthritis in the elderly.. PubMed. 25(9). 1820–6. 10 indexed citations
20.
McAlindon, Timothy, et al.. (1993). Environmental factors predicting nephritis in systemic lupus erythematosus.. Annals of the Rheumatic Diseases. 52(10). 720–724. 38 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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