Win‐Ping Deng

2.8k citations
62 papers · 2.2k indexed · h-index 28

Impact in

  • Urology top 1%
    • Periodontal Regeneration and Treatments
  • Genetics top 2%
    • Mesenchymal stem cell research

Papers in

    • Periodontal Regeneration and Treatments 13
    • Mesenchymal stem cell research 16
    • Virus-based gene therapy research 6

Win‐Ping Deng

62 papers receiving 2.1k citations

Peers

Win‐Ping Deng
Comparison fields: 5 of 129
  • Urology 385
  • Genetics 551
  • Rheumatology 365
  • Orthopedics and Sports Medicine 162
  • Pathology and Forensic Medicine 264
Replace Marja M. Hurley with:
Marja M. Hurley United States
Takashi Nishida Japan
Anne English United Kingdom
Toshiyuki Ikeda Japan
Tadashi Ninomiya Japan
Karin Stenderup Denmark
Rajaram Gopalakrishnan United States
Chunmei Zhang China
Weihua Yu China
Satoru Kamekura Japan
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Citations per field
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Citations per year

Countries citing papers authored by Win‐Ping Deng

Since Specialization
Citations

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

Fields of papers citing papers by Win‐Ping Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Win‐Ping Deng. 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 Win‐Ping Deng. The network helps show where Win‐Ping Deng may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20217
2 20208
3 202011
4 201829
5 20184
6 201825
7 201622
8 201635
9 20161
10 20166
11 20147
12 201347
13 201127
14 201033
15 200910
16 200822
17 20067
18 200519
19 200487
20 199427

About Win‐Ping Deng

Win‐Ping Deng is a scholar working on Urology, Genetics, Rheumatology, Orthopedics and Sports Medicine and Pharmacology, having authored 62 papers that have together received 2.2k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (16 papers), Osteoarthritis Treatment and Mechanisms (13 papers), Periodontal Regeneration and Treatments (13 papers), Virus-based gene therapy research (6 papers), Tissue Engineering and Regenerative Medicine (6 papers), Spine and Intervertebral Disc Pathology (5 papers), RNA Interference and Gene Delivery (4 papers) and Proteoglycans and glycosaminoglycans research (4 papers). The work is most often cited by research in Urology (385 citations), Genetics (551 citations), Rheumatology (365 citations), Orthopedics and Sports Medicine (162 citations) and Pathology and Forensic Medicine (264 citations). Win‐Ping Deng has collaborated with scholars based in Taiwan, United States and Vietnam. Frequent co-authors include Wei-Hong Chen, Hen‐Yu Liu, Navneet Kumar Dubey, Hong-Jian Wei, Wen‐Cheng Lo, Feng-Chou Tsai, Chih‐Hsiung Wu, Rajni Dubey, Rong Zeng and Juri G. Gelovani. Their work appears in journals such as Biomaterials, International Journal of Molecular Sciences, Oncotarget, Aging and Molecular and Cellular Biology.

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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