Chuanlong Wu

2.4k citations
38 papers · 1.5k · h-index 22

Impact in

Papers in

    • Orthopaedic implants and arthroplasty 9
    • Orthopedic Infections and Treatments 8
    • Total Knee Arthroplasty Outcomes 3
    • Bone Metabolism and Diseases 6

Chuanlong Wu

36 papers receiving 1.5k citations

Peers

Chuanlong Wu
Comparison fields: 5 of 106
  • Rheumatology 194
  • Cancer Research 194
  • Surgery 417
  • Orthopedics and Sports Medicine 76
  • Molecular Biology 518
Replace Fadia Kamal with:
Fadia Kamal United States
Huan Liu China
Letizia Penolazzi Italy
Nanwei Xu China
Tetsuya Kawane Japan
Jianguo Liu China
Guangwang Liu China
Afsie Sabokbar United Kingdom
Puyi Sheng China
Chuanlong Wu relative to Fadia Kamal United States Fadia Kamal's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chuanlong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chuanlong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016160
2 2021128
3 201497
4 201489
5 202078
6 201476
7 201374
8 201473
9 201368
10 201765
11 201459
12 201455
13 202352
14 201349
15 201440
16 202034
17 201533
18 201432
19 201431
20 201630

About Chuanlong Wu

Chuanlong Wu is a scholar working on Surgery, Molecular Biology, Oncology, Epidemiology and Cancer Research, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Orthopaedic implants and arthroplasty (9 papers), Orthopedic Infections and Treatments (8 papers), Bone Metabolism and Diseases (6 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Total Knee Arthroplasty Outcomes (3 papers), Adipose Tissue and Metabolism (3 papers), Bone health and treatments (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Rheumatology (194 citations), Cancer Research (194 citations), Surgery (417 citations), Orthopedics and Sports Medicine (76 citations) and Molecular Biology (518 citations). Chuanlong Wu has collaborated with scholars based in China, Australia and Taiwan. Frequent co-authors include Xinhua Qu, Zhenan Zhu, An Qin, Ruixin Sun, Kerong Dai, Bo Tian, Fengxiang Liu, Xuqiang Liu, Zanjing Zhai and Tingting Tang. Their work appears in journals such as PLoS ONE, International Journal of Molecular Medicine, International Journal of Molecular Sciences, Journal of Clinical Microbiology and Biomaterials.

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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