Bin-Fei Zhang

1.4k citations
91 papers · 872 · h-index 17

Impact in

Papers in

Bin-Fei Zhang

87 papers receiving 852 citations

Peers

Bin-Fei Zhang
Comparison fields: 5 of 105
  • Internal Medicine 225
  • Critical Care and Intensive Care Medicine 58
  • Surgery 447
  • Biochemistry 53
  • Cardiology and Cardiovascular Medicine 191
Replace Haibo Si with:
Haibo Si China
Yuangang Wu China
Yi Zeng China
Patarawan Woratanarat Thailand
Anne Lejay France
Erdan Kayupov United States
Ta‐Wei Tai Taiwan
Yuan Liang China
Anita S. Kestin United States
Bin-Fei Zhang relative to Haibo Si China Haibo Si's profile →
Citations per field
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Haibo Si · 1×
Citations per year

Countries citing papers authored by Bin-Fei Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Bin-Fei Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bin-Fei Zhang. 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 Bin-Fei Zhang. The network helps show where Bin-Fei Zhang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201769
2 201868
3 201963
4 202233
5 202032
6 201431
7 200926
8 201525
9 201423
10 202222
11 201620
12 201820
13 202019
14 202119
15 202318
16 201718
17 201716
18 202315
19 201815
20 202015

About Bin-Fei Zhang

Bin-Fei Zhang is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Internal Medicine, Orthopedics and Sports Medicine and Pulmonary and Respiratory Medicine, having authored 91 papers that have together received 872 indexed citations. Recurring topics across this work include Hip and Femur Fractures (29 papers), Venous Thromboembolism Diagnosis and Management (19 papers), Cardiac, Anesthesia and Surgical Outcomes (17 papers), Pelvic and Acetabular Injuries (15 papers), Vascular Procedures and Complications (11 papers), Pregnancy-related medical research (10 papers), Bone health and osteoporosis research (7 papers) and Acute Myocardial Infarction Research (7 papers). The work is most often cited by research in Internal Medicine (225 citations), Critical Care and Intensive Care Medicine (58 citations), Surgery (447 citations), Biochemistry (53 citations) and Cardiology and Cardiovascular Medicine (191 citations). Bin-Fei Zhang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yan Zhuang, Pengfei Wang, Yuxuan Cong, Yumin Zhang, Hai Huang, Pengfei Wen, Hu Wang, Hu Wang, Xing Wei and Jiahao Li. Their work appears in journals such as BioMed Research International, Journal of Orthopaedic Surgery and Research, Scientific Reports, Frontiers in Medicine and Medicine.

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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