Chenhui Shi

423 citations
16 papers · 327 · h-index 7

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
  • Urology top 10%
    • Periodontal Regeneration and Treatments

Papers in

Chenhui Shi

16 papers receiving 322 citations

Peers

Chenhui Shi
Comparison fields: 5 of 63
  • Genetics 92
  • Urology 32
  • Rheumatology 54
  • Nephrology 22
  • Orthopedics and Sports Medicine 26
Replace Motokazu Tsuneto with:
Motokazu Tsuneto Japan
Bart Vaes Netherlands
Koichi Oshita Japan
Megan N. Michalski United States
Naoko Kamiya Japan
Wilson Cheuk Wing Chan Hong Kong
Elsa J. Brochmann United States
Jianzhong Xu China
Edward Guo United States
Khalid Al Hezaimi Saudi Arabia
Chenhui Shi relative to Motokazu Tsuneto Japan Motokazu Tsuneto's profile →
Citations per field
00.5×1.5×2.3×
Motokazu Tsuneto · 1×
Citations per year

Countries citing papers authored by Chenhui Shi

Since Specialization
Citations

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

Fields of papers citing papers by Chenhui Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2012119
2 201675
3 201359
4 201435
5 201110
6 20207
7 20236
8 20234
9 20193
10 20183
11
Therapeutical effects of doxycycline on rabbit immobilized osteoarthritis.
20091
12
The meaning of executing the clinical pathway and the current application situation.
20101
13 20251
14 20151
15 20251
16 20241

About Chenhui Shi

Chenhui Shi is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Rheumatology, Surgery and Urology, having authored 16 papers that have together received 327 indexed citations. Recurring topics across this work include Parasitic infections in humans and animals (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Bone Metabolism and Diseases (3 papers), Muscle Physiology and Disorders (2 papers), TGF-β signaling in diseases (2 papers), Congenital Anomalies and Fetal Surgery (2 papers), Mesenchymal stem cell research (2 papers) and Periodontal Regeneration and Treatments (2 papers). The work is most often cited by research in Genetics (92 citations), Urology (32 citations), Rheumatology (54 citations), Nephrology (22 citations) and Orthopedics and Sports Medicine (26 citations). Chenhui Shi has collaborated with scholars based in China and United States. Frequent co-authors include Changjun Li, Xu Cao, Mei Wan, Weishan Wang, Bing Yu, Gehua Zhen, Xiaofeng Jia, Suzanne M. Jan de Beur, Kai Jiao and Janet L. Crane. Their work appears in journals such as Frontiers in Microbiology, Stem Cells and Development, Journal of Bone and Mineral Research, Veterinary Research and Biochemical 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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