Chao Wan

7.8k citations
93 papers · 6.2k indexed · 3 hit papers · h-index 35

Chao Wan

85 papers receiving 6.1k citations

Hit Papers

Insulin Receptor Signaling in Osteoblasts Regulates Postn...6032007202620132019250500750

Peers

Chao Wan
Comparison fields: 5 of 147
  • Genetics 1.1k
  • Orthopedics and Sports Medicine 795
  • Cancer Research 1.2k
  • Rheumatology 791
  • Urology 297
Replace Shinsuke Ohba with:
Shinsuke Ohba Japan
Kurt D. Hankenson United States
Mei Wan United States
Hicham Drissi United States
Cun‐Yu Wang United States
Hyun‐Mo Ryoo South Korea
Shiwu Dong China
Kazuhisa Nakashima Japan
Danny Chan Hong Kong
Basem M. Abdallah Denmark
Chao Wan relative to Shinsuke Ohba Japan Shinsuke Ohba's profile →
Citations per field
00.5×1.6×
Shinsuke Ohba · 1×
Citations per year

Countries citing papers authored by Chao Wan

Since Specialization
Citations

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

Fields of papers citing papers by Chao Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202414
3 20242
4 20221
5 202214
6 20224
7 20217
8 202013
9 201827
10 201717
11 2016180
12 201510
13 201417
14 201426
15 201369
16 201246
17
TGF-β1–induced migration of bone mesenchymal stem cells couples bone resorption with formationbreakdown →
2009906
18 2008418
19 2007135
20 200519

About Chao Wan

Chao Wan is a scholar working on Genetics, Aging, Cancer Research, Rheumatology and Molecular Medicine, having authored 93 papers that have together received 6.2k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (19 papers), Osteoarthritis Treatment and Mechanisms (10 papers), Bone Metabolism and Diseases (9 papers), Cancer, Hypoxia, and Metabolism (8 papers), TGF-β signaling in diseases (6 papers), Cancer-related molecular mechanisms research (6 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Neonatal Respiratory Health Research (4 papers). The work is most often cited by research in Genetics (1.1k citations), Orthopedics and Sports Medicine (795 citations), Cancer Research (1.2k citations), Rheumatology (791 citations) and Urology (297 citations). Chao Wan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Thomas L. Clemens, Gang Li, Xuemei Cao, Shawn R. Gilbert, Marie–Claude Faugere, Qiling He, Louis C. Gerstenfeld, Ryan C. Riddle, Fengjie Zhang and Ying Wang. Their work appears in journals such as Journal of Orthopaedic Research®, PLoS ONE, Stem Cells, Journal of Physiology and Biochemistry and Annals of the New York Academy of Sciences.

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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