X. Li

1.1k total citations
29 papers, 839 citations indexed

About

X. Li is a scholar working on Surgery, Biomedical Engineering and Rheumatology. According to data from OpenAlex, X. Li has authored 29 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 12 papers in Biomedical Engineering and 11 papers in Rheumatology. Recurrent topics in X. Li's work include Knee injuries and reconstruction techniques (18 papers), Total Knee Arthroplasty Outcomes (13 papers) and Lower Extremity Biomechanics and Pathologies (11 papers). X. Li is often cited by papers focused on Knee injuries and reconstruction techniques (18 papers), Total Knee Arthroplasty Outcomes (13 papers) and Lower Extremity Biomechanics and Pathologies (11 papers). X. Li collaborates with scholars based in United States, China and Japan. X. Li's co-authors include Michael D. Ries, Sharmila Majumdar, Jesus Lozano, C. Benjamin, T.M. Link, Julio Carballido‐Gamio, Gabrielle Blumenkrantz, Thomas M. Link, Favian Su and Valentina Pedoia and has published in prestigious journals such as Medicine, Osteoarthritis and Cartilage and Applied Sciences.

In The Last Decade

X. Li

25 papers receiving 834 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
X. Li United States 10 545 509 334 200 131 29 839
T.M. Link United States 6 396 0.7× 298 0.6× 239 0.7× 122 0.6× 91 0.7× 7 566
Sebastian Quirbach Austria 13 305 0.6× 372 0.7× 282 0.8× 193 1.0× 100 0.8× 15 724
Gabrielle Blumenkrantz United States 13 886 1.6× 616 1.2× 608 1.8× 269 1.3× 208 1.6× 15 1.3k
George H. Belhobek United States 10 251 0.5× 310 0.6× 168 0.5× 177 0.9× 63 0.5× 20 530
Alexander Zembsch Austria 11 298 0.5× 248 0.5× 335 1.0× 508 2.5× 76 0.6× 21 790
Souhil Zaim United States 10 301 0.6× 186 0.4× 79 0.2× 74 0.4× 54 0.4× 18 406
David Malfair Canada 11 101 0.2× 444 0.9× 110 0.3× 102 0.5× 64 0.5× 24 625
Fei Liang China 12 125 0.2× 150 0.3× 121 0.4× 52 0.3× 128 1.0× 32 512
Marcus Raudner Austria 10 131 0.2× 134 0.3× 94 0.3× 57 0.3× 77 0.6× 21 302
K. Lehner Germany 7 161 0.3× 148 0.3× 84 0.3× 82 0.4× 70 0.5× 28 357

Countries citing papers authored by X. Li

Since Specialization
Citations

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

Fields of papers citing papers by X. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of X. Li

This figure shows the co-authorship network connecting the top 25 collaborators of X. Li. A scholar is included among the top collaborators of X. Li 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 X. Li. X. Li 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.
Gaj, Sibaji, Brendan Eck, Carl S. Winalski, et al.. (2022). Multi-vendor multi-site quantitative MRI analysis of cartilage degeneration 10 Years after anterior cruciate ligament reconstruction: MOON-MRI protocol and preliminary results. Osteoarthritis and Cartilage. 30(12). 1647–1657. 10 indexed citations
2.
Xu, Kaipin, Kunio Nakamura, Wanyong Shin, et al.. (2022). Reproducibility of T1ρ and T2 quantification in a multi-vendor multi-site study. Osteoarthritis and Cartilage. 31(2). 249–257. 10 indexed citations
3.
Eck, Brendan, James R. D. Murray, Carl S. Winalski, et al.. (2021). Quantitative MRI analysis of cartilage and muscle degeneration 10 years after anterior cruciate ligament reconstruction. Osteoarthritis and Cartilage. 29. S47–S47.
4.
Mamoto, K., Kaipin Xu, Kunio Nakamura, et al.. (2020). Inter-vendor inter-site variation of cartilage T2 quantification. Osteoarthritis and Cartilage. 28. S280–S282. 1 indexed citations
5.
Yang, Mingrui, et al.. (2020). 3D patella and femur bone shape modeling for patella instability patients. Osteoarthritis and Cartilage. 28. S279–S280. 1 indexed citations
6.
Mamoto, K., Kaipin Xu, Kunio Nakamura, et al.. (2020). Multi-vendor multi-site T1ρ and T2 quantification of knee cartilage. Osteoarthritis and Cartilage. 28(12). 1539–1550. 32 indexed citations
7.
Elias, John J., et al.. (2019). Anatomical characteristics of recurrent patellar instability. Osteoarthritis and Cartilage. 27. S363–S364.
9.
Mamoto, K., Tomohiro Shimizu, Valentina Pedoia, et al.. (2019). Cartilage health in the patellofemoral joint over 3-years after ACL reconstruction and their association with patient-reported outcomes. Osteoarthritis and Cartilage. 27. S357–S357. 1 indexed citations
10.
Pedoia, Valentina, Jan Neumann, Thomas M. Link, et al.. (2019). 3D bone-shape changes and their correlations with cartilage T1ρ and T2 relaxation times and patient-reported outcomes over 3-years after ACL reconstruction. Osteoarthritis and Cartilage. 27(6). 915–921. 25 indexed citations
11.
Heilmeier, Ursula, K. Mamoto, Keiko Amano, et al.. (2019). Infrapatellar fat pad abnormalities are associated with a higher inflammatory synovial fluid cytokine profile in young adults following ACL tear. Osteoarthritis and Cartilage. 28(1). 82–91. 37 indexed citations
12.
Mamoto, K., Kaipin Xu, Tomohiro Shimizu, et al.. (2018). T1ρ and T2 of articular cartilage after acl injury predict patient-reported outcomes at 3 years after acl reconstruction. Osteoarthritis and Cartilage. 26. S49–S50. 2 indexed citations
13.
Heilmeier, Ursula, Keiko Amano, Benedikt J. Schwaiger, et al.. (2017). Synovitis of knee joint fat pads is correlated with inflammatory synovial cytokine profile and may have a potential role in the development of posttraumatic OA following ACL injury. Osteoarthritis and Cartilage. 25. S41–S42. 1 indexed citations
15.
Kumar, Deepak, et al.. (2017). Degeneration of patellofemoral and tibiofemoral compartments following acl reconstruction and associated gait mechanics: a longitudinal 2-year study. Osteoarthritis and Cartilage. 25. S111–S112. 1 indexed citations
16.
Pedoia, Valentina, et al.. (2016). MR T1ρ and T2 of meniscus two years after anterior cruciate ligament reconstruction. Osteoarthritis and Cartilage. 24. S288–S289. 1 indexed citations
18.
Su, Favian, Valentina Pedoia, Hsiang‐Ling Teng, et al.. (2016). The association between MR T1ρ and T2 of cartilage and patient-reported outcomes after ACL injury and reconstruction. Osteoarthritis and Cartilage. 24(7). 1180–1189. 54 indexed citations
19.
Su, Favian, Joan F. Hilton, Lorenzo Nardo, et al.. (2013). Cartilage morphology and T1ρ and T2 quantification in ACL-reconstructed knees: a 2-year follow-up. Osteoarthritis and Cartilage. 21(8). 1058–1067. 119 indexed citations
20.
Kazakia, Galateia J., Daniel Kuo, J. Schooler, et al.. (2012). Bone and cartilage demonstrate changes localized to bone marrow edema-like lesions within osteoarthritic knees. Osteoarthritis and Cartilage. 21(1). 94–101. 59 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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