Kai-Ming Chan

583 total citations
8 papers, 431 citations indexed

About

Kai-Ming Chan is a scholar working on Surgery, Orthopedics and Sports Medicine and Epidemiology. According to data from OpenAlex, Kai-Ming Chan has authored 8 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Orthopedics and Sports Medicine and 2 papers in Epidemiology. Recurrent topics in Kai-Ming Chan's work include Knee injuries and reconstruction techniques (4 papers), Sports injuries and prevention (4 papers) and Tendon Structure and Treatment (2 papers). Kai-Ming Chan is often cited by papers focused on Knee injuries and reconstruction techniques (4 papers), Sports injuries and prevention (4 papers) and Tendon Structure and Treatment (2 papers). Kai-Ming Chan collaborates with scholars based in Hong Kong, China and Sweden. Kai-Ming Chan's co-authors include Patrick Shu‐Hang Yung, Ling Qin, Sai‐Chuen Fu, Barbara Pui Chan, Kwong‐Man Lee, Kam-Ming Mok, Daniel Tik-Pui Fong, Chunyi Wen, Derwin King Chung Chan and Feng Wei and has published in prestigious journals such as Arthroscopy The Journal of Arthroscopic and Related Surgery, Knee Surgery Sports Traumatology Arthroscopy and Journal of science and medicine in sport.

In The Last Decade

Kai-Ming Chan

8 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai-Ming Chan Hong Kong	7	332	300	64	51	50	8	431
Leonardo Cavinatto United States	11	321 1.0×	477 1.6×	163 2.5×	28 0.5×	16 0.3×	22	568
Michael Iosifidis Greece	12	208 0.6×	306 1.0×	32 0.5×	61 1.2×	25 0.5×	27	397
Peter Ogon Germany	12	140 0.4×	493 1.6×	200 3.1×	57 1.1×	10 0.2×	28	536
David S. Tearse United States	10	297 0.9×	401 1.3×	82 1.3×	64 1.3×	21 0.4×	17	474
Diane R. Leigh United States	8	191 0.6×	358 1.2×	118 1.8×	63 1.2×	22 0.4×	9	443
Jennica J. Tucker United States	13	271 0.8×	385 1.3×	135 2.1×	27 0.5×	18 0.4×	22	506
Henrik Aagaard Denmark	12	375 1.1×	445 1.5×	79 1.2×	148 2.9×	24 0.5×	16	640
Zipeng Ye China	11	197 0.6×	306 1.0×	100 1.6×	81 1.6×	23 0.5×	37	377
Kenshi Kikukawa Japan	6	176 0.5×	362 1.2×	188 2.9×	14 0.3×	48 1.0×	15	381
Peyton L. Hays United States	7	261 0.8×	327 1.1×	44 0.7×	27 0.5×	5 0.1×	9	392

Countries citing papers authored by Kai-Ming Chan

Since Specialization

Citations

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

Fields of papers citing papers by Kai-Ming Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai-Ming Chan. 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 Kai-Ming Chan. The network helps show where Kai-Ming Chan may publish in the future.

Co-authorship network of co-authors of Kai-Ming Chan

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

All Works

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8 of 8 papers shown

Yung, Patrick Shu‐Hang, et al.. (2020). Differential MMP 1 and MMP 13 expression in proliferation and ligamentization phases of graft remodeling in anterior cruciate ligament reconstruction. Connective Tissue Research. 62(6). 681–688. 7 indexed citations

Mok, Kam-Ming, et al.. (2017). Eccentric hamstring strength deficit and poor hamstring-to-quadriceps ratio are risk factors for hamstring strain injury in football: A prospective study of 146 professional players. Journal of science and medicine in sport. 21(8). 789–793. 124 indexed citations

Wei, Feng, Daniel Tik-Pui Fong, Kai-Ming Chan, & Roger C. Haut. (2013). Estimation of ligament strains and joint moments in the ankle during a supination sprain injury. Computer Methods in Biomechanics & Biomedical Engineering. 18(3). 243–248. 25 indexed citations

Fu, Sai‐Chuen, Wai Hang Cheng, Yau‐Chuk Cheuk, et al.. (2013). Development of vitamin C irrigation saline to promote graft healing in anterior cruciate ligament reconstruction. Journal of Orthopaedic Translation. 1(1). 67–77. 16 indexed citations

Tang, Hai, Yuan Li, Hao Chen, et al.. (2010). Efficacy of Percutaneous Kyphoplasty in Treating Osteoporotic Multithoracolumbar Vertebral Compression Fractures. Orthopedics. 33(12). 885–885. 6 indexed citations

Wen, Chunyi, et al.. (2009). Grafted Tendon Healing in Tibial Tunnel Is Inferior to Healing in Femoral Tunnel After Anterior Cruciate Ligament Reconstruction: A Histomorphometric Study in Rabbits. Arthroscopy The Journal of Arthroscopic and Related Surgery. 26(1). 58–66. 34 indexed citations

Yung, Patrick Shu‐Hang, et al.. (2008). Arthroscopic repair of isolated type II superior labrum anterior–posterior lesion. Knee Surgery Sports Traumatology Arthroscopy. 16(12). 1151–1157. 53 indexed citations

Chan, Barbara Pui, et al.. (2000). Effects of basic fibroblast growth factor (bFGF) on early stages of tendon healing: A rat patellar tendon model. Acta Orthopaedica Scandinavica. 71(5). 513–518. 166 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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