Tun Hing Lui

5.1k citations
365 papers · 3.3k indexed · h-index 28

Tun Hing Lui

328 papers receiving 2.9k citations

Peers

Tun Hing Lui
Comparison fields: 5 of 81
  • Orthopedics and Sports Medicine 2.8k
  • Rheumatology 609
  • Surgery 1.5k
  • Rehabilitation 127
  • Biomedical Engineering 718
Replace Francesca Vannini with:
Francesca Vannini Italy
Michael J. Shereff United States
Gregory C. Berlet United States
David Karasick United States
Christopher F. Hyer United States
Kazuya Sugimoto Japan
Masato Takao Japan
Pasquale Farsetti Italy
Carolyn M. Sofka United States
Hajo Thermann Germany
Tun Hing Lui relative to Francesca Vannini Italy Francesca Vannini's profile →
Citations per field
00.5×
Francesca Vannini · 1×
Citations per year

Countries citing papers authored by Tun Hing Lui

Since Specialization
Citations

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

Fields of papers citing papers by Tun Hing Lui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tun Hing Lui. 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 Tun Hing Lui. The network helps show where Tun Hing Lui may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Tun Hing Lui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tun Hing Lui Line = papers co-authored together Tun Hing Lui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 20171
4 201610
5 20153
6 20158
7 201512
8 20146
9 201410
10 20145
11 20131
12 20132
13 20134
14 20136
15 201111
16 201113
17 201012
18 20094
19 200854
20 200711

About Tun Hing Lui

Tun Hing Lui is a scholar working on Orthopedics and Sports Medicine, Rheumatology, Surgery, Rehabilitation and Developmental Biology, having authored 365 papers that have together received 3.3k indexed citations. Recurring topics across this work include Foot and Ankle Surgery (215 papers), Tendon Structure and Treatment (196 papers), Orthopedic Surgery and Rehabilitation (127 papers), Musculoskeletal synovial abnormalities and treatments (85 papers), Lower Extremity Biomechanics and Pathologies (59 papers), Sports injuries and prevention (44 papers), Shoulder Injury and Treatment (35 papers) and Peripheral Nerve Disorders (29 papers). The work is most often cited by research in Orthopedics and Sports Medicine (2.8k citations), Rheumatology (609 citations), Surgery (1.5k citations), Rehabilitation (127 citations) and Biomedical Engineering (718 citations). Tun Hing Lui has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Kwok Bill Chan, Lap Ki Chan, Samuel Ka-Kin Ling, PK Chan, Nicola Maffulli, Xiaohua Pan, Lung Fung Tse, Patrick Shu‐Hang Yung, Karen K. Y. Ho and Vincent Chan. Their work appears in journals such as The Journal of Foot & Ankle Surgery, Foot and Ankle Surgery, Arthroscopy The Journal of Arthroscopic and Related Surgery, Foot & Ankle International and Knee Surgery Sports Traumatology Arthroscopy.

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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