Pengde Kang

648 citations
28 papers · 468 indexed · h-index 14

Pengde Kang

27 papers receiving 450 citations

Peers

Pengde Kang
Comparison fields: 5 of 45
  • Surgery 449
  • Internal Medicine 14
  • Biochemistry 12
  • Cardiology and Cardiovascular Medicine 39
  • Health Informatics 2
Replace Matthew C. Barrett with:
Matthew C. Barrett United Kingdom
Brian E. Schwartz United States
Raz Winiarsky United States
Cass K. Nakasone United States
Hideyuki Sasanuma Japan
Ick-Hwan Yang South Korea
Augustine Tang United Kingdom
Yaniv Warschawski Israel
Michael E. Keating United States
Yuchi Zhao China
Pengde Kang relative to Matthew C. Barrett United Kingdom Matthew C. Barrett's profile →
Citations per field
00.5×10×20×28×
Matthew C. Barrett · 1×
Citations per year

Countries citing papers authored by Pengde Kang

Since Specialization
Citations

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

Fields of papers citing papers by Pengde Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 202223
3 20205
4 201917
5 201911
6 20189
7 20174
8 201531
9 201516
10
[Acetabular morphological analysis in patients with high dislocated DDH using three-dimensional surface reconstruction technique].
20153
11 201425
12 201418
13 201313
14 20121
15 20121
16
Meta-analysis comparing total hip arthroplasty with hemiarthroplasty in the treatment of displaced femoral neck fractures in patients over 70 years old.
201212
17 201129
18 200914
19
[Extended trochanteric osteotomy for removal of solidly-fixed femoral implants in total hip revision].
20092
20 200821

About Pengde Kang

Pengde Kang is a scholar working on Surgery, Behavioral Neuroscience and Internal Medicine, having authored 28 papers that have together received 468 indexed citations. Recurring topics across this work include Orthopaedic implants and arthroplasty (23 papers), Total Knee Arthroplasty Outcomes (16 papers), Orthopedic Infections and Treatments (15 papers), Hip disorders and treatments (7 papers), Hip and Femur Fractures (6 papers), Knee injuries and reconstruction techniques (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Pelvic and Acetabular Injuries (2 papers). The work is most often cited by research in Surgery (449 citations), Internal Medicine (14 citations) and Biochemistry (12 citations). Pengde Kang has collaborated with scholars based in China. Frequent co-authors include Bin Shen, Fuxing Pei, Zongke Zhou, Jing Yang, Zhouyuan Yang, Jing Yang, Hao Liu, Xin‐hui Xie, Tao Qin and Xiaojun Shi. Their work appears in journals such as The Journal of Arthroplasty, Knee Surgery Sports Traumatology Arthroscopy, International Orthopaedics, Journal of Orthopaedic Surgery and Research and International Journal of Surgery.

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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