J. Torner

974 total citations
9 papers, 740 citations indexed

About

J. Torner is a scholar working on Rheumatology, Surgery and Biomedical Engineering. According to data from OpenAlex, J. Torner has authored 9 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Rheumatology, 6 papers in Surgery and 6 papers in Biomedical Engineering. Recurrent topics in J. Torner's work include Osteoarthritis Treatment and Mechanisms (7 papers), Lower Extremity Biomechanics and Pathologies (6 papers) and Knee injuries and reconstruction techniques (4 papers). J. Torner is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (7 papers), Lower Extremity Biomechanics and Pathologies (6 papers) and Knee injuries and reconstruction techniques (4 papers). J. Torner collaborates with scholars based in United States, Germany and France. J. Torner's co-authors include David T. Felson, M. Nevitt, Tuhina Neogi, Jingbo Niu, C.E. Lewis, Yuqing Zhang, B. Sack, Piran Aliabadi, Laurence A. Bradley and Leena Sharma and has published in prestigious journals such as Annals of the Rheumatic Diseases, Osteoarthritis and Cartilage and BMJ.

In The Last Decade

J. Torner

8 papers receiving 724 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Torner United States 8 597 395 248 164 120 9 740
N.E. Lane United States 12 369 0.6× 285 0.7× 172 0.7× 80 0.5× 84 0.7× 13 533
Stephanie L. Smith United Kingdom 10 255 0.4× 160 0.4× 125 0.5× 117 0.7× 141 1.2× 24 522
Lin‐Fen Hsieh Taiwan 13 139 0.2× 224 0.6× 62 0.3× 67 0.4× 78 0.7× 29 455
Cheryl Riegger‐Krugh United States 9 108 0.2× 253 0.6× 114 0.5× 68 0.4× 137 1.1× 14 428
Eric F. Chehab United States 8 352 0.6× 420 1.1× 390 1.6× 26 0.2× 78 0.7× 15 608
Hsiang‐Ling Teng United States 14 171 0.3× 283 0.7× 400 1.6× 53 0.3× 297 2.5× 25 626
Kristyn M. Leitch Canada 15 364 0.6× 435 1.1× 239 1.0× 49 0.3× 59 0.5× 33 568
Xin Qi China 13 142 0.2× 198 0.5× 38 0.2× 56 0.3× 60 0.5× 49 446
R.E. Voorneman Netherlands 10 308 0.5× 236 0.6× 173 0.7× 72 0.4× 47 0.4× 12 392
Sarah Kobayashi Australia 7 144 0.2× 146 0.4× 143 0.6× 37 0.2× 62 0.5× 22 283

Countries citing papers authored by J. Torner

Since Specialization
Citations

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

Fields of papers citing papers by J. Torner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Torner

This figure shows the co-authorship network connecting the top 25 collaborators of J. Torner. A scholar is included among the top collaborators of J. Torner 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 J. Torner. J. Torner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
2.
Roemer, Frank W., David T. Felson, Joshua J. Stefanik, et al.. (2022). Heterogeneity of cartilage damage in Kellgren and Lawrence grade 2 and 3 knees: the MOST study. Osteoarthritis and Cartilage. 30(5). 714–723. 21 indexed citations
3.
Crema, M.D., David T. Felson, Ali Guermazi, et al.. (2017). Is the atrophic phenotype of tibiofemoral osteoarthritis associated with faster progression of disease? The MOST study. Osteoarthritis and Cartilage. 25(10). 1647–1653. 9 indexed citations
4.
Jarraya, Mohamed, Ali Guermazi, David T. Felson, et al.. (2017). Is superolateral Hoffa's fat pad hyperintensity a marker of local patellofemoral joint disease? – The MOST study. Osteoarthritis and Cartilage. 25(9). 1459–1467. 11 indexed citations
5.
Guermazi, Ali, Daichi Hayashi, David T. Felson, et al.. (2015). Severe radiographic knee osteoarthritis – does Kellgren and Lawrence grade 4 represent end stage disease? – the MOST study. Osteoarthritis and Cartilage. 23(9). 1499–1505. 41 indexed citations
6.
Neogi, Tuhina, et al.. (2010). Consistency of knee pain: correlates and association with function. Osteoarthritis and Cartilage. 18(10). 1250–1255. 46 indexed citations
7.
Segal, Neil A., Natalie Glass, J. Torner, et al.. (2010). Quadriceps weakness predicts risk for knee joint space narrowing in women in the MOST cohort. Osteoarthritis and Cartilage. 18(6). 769–775. 195 indexed citations
8.
Neogi, Tuhina, M. Nevitt, Jingbo Niu, et al.. (2009). Subchondral bone attrition may be a reflection of compartment-specific mechanical load: the MOST Study. Annals of the Rheumatic Diseases. 69(5). 841–844. 80 indexed citations
9.
Neogi, Tuhina, David T. Felson, Jingbo Niu, et al.. (2009). Association between radiographic features of knee osteoarthritis and pain: results from two cohort studies. BMJ. 339(aug21 1). b2844–b2844. 337 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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