Kai Tie

675 citations
27 papers · 482 · h-index 13

Impact in

    • Sports injuries and prevention
  • Surgery top 10%
    • Knee injuries and reconstruction techniques
    • Total Knee Arthroplasty Outcomes
    • Orthopaedic implants and arthroplasty

Papers in

Kai Tie

27 papers receiving 465 citations

Peers

Kai Tie
Comparison fields: 5 of 62
  • Orthopedics and Sports Medicine 60
  • Surgery 277
  • Biochemistry 26
  • Rheumatology 49
  • Obstetrics and Gynecology 23
Replace Zhengqi Pan with:
Zhengqi Pan China
Narūnas Porvaneckas Lithuania
Qubo Ni China
Scott Matthew Bolam New Zealand
Mark Tenholder United States
Qianying Cai China
Thanathep Tanpowpong Thailand
Bryce A. Van Doren United States
Valerio Pascale Italy
Roy H. Trawick United States
Kai Tie relative to Zhengqi Pan China Zhengqi Pan's profile →
Citations per field
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Zhengqi Pan · 1×
Citations per year

Countries citing papers authored by Kai Tie

Since Specialization
Citations

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

Fields of papers citing papers by Kai Tie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kai Tie, 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 Kai Tie Line = papers co-authored together Kai Tie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201861
2 201554
3 201647
4 201743
5 201537
6 201530
7 201725
8 201625
9 201622
10 201820
11 201416
12 201215
13 201813
14 202210
15 201710
16 20219
17 20186
18 20236
19 20225
20
Association study between growth differentiation factor 5 polymorphism and non-contact anterior cruciate ligament rupture in Chinese Han population.
20155

About Kai Tie

Kai Tie is a scholar working on Surgery, Pediatrics, Perinatology and Child Health, Biochemistry, Obstetrics and Gynecology and Rheumatology, having authored 27 papers that have together received 482 indexed citations. Recurring topics across this work include Knee injuries and reconstruction techniques (8 papers), Birth, Development, and Health (5 papers), Pregnancy and preeclampsia studies (3 papers), Blood transfusion and management (3 papers), Shoulder Injury and Treatment (3 papers), Reproductive System and Pregnancy (3 papers), Total Knee Arthroplasty Outcomes (2 papers) and Osteoarthritis Treatment and Mechanisms (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (60 citations), Surgery (277 citations), Biochemistry (26 citations), Rheumatology (49 citations) and Obstetrics and Gynecology (23 citations). Kai Tie has collaborated with scholars based in China and France. Frequent co-authors include Liaobin Chen, Dongcai Hu, Yongjian Qi, Haitao Chen, Hui Wang, Yang Tan, Hua Wang, Biao Chen, Yu Liang Deng and Qubo Ni. Their work appears in journals such as Journal of Orthopaedic Surgery and Research, The Knee, Stem Cell Research & Therapy, Arthroscopy The Journal of Arthroscopic and Related Surgery and Toxicology and Applied Pharmacology.

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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