Yanfeng Wu

2.6k citations
75 papers · 1.8k · h-index 23

Impact in

  • Genetics top 2%
    • Mesenchymal stem cell research
    • Spondyloarthritis Studies and Treatments

Papers in

Yanfeng Wu

72 papers receiving 1.8k citations

Peers

Yanfeng Wu
Comparison fields: 5 of 100
  • Genetics 338
  • Rheumatology 333
  • Cancer Research 283
  • Orthopedics and Sports Medicine 120
  • Immunology 301
Replace Zhifeng Gu with:
Zhifeng Gu China
Satoru Otsuru United States
Shingo Maeda Japan
Qisheng Tu United States
Mark S. Kronenberg United States
Zhengjian Yan China
Yin Hu China
Yangli Xie China
J. M. Gimble United States
Soufiane Ghannam France
Yanfeng Wu relative to Zhifeng Gu China Zhifeng Gu's profile →
Citations per field
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Zhifeng Gu · 1×
Citations per year

Countries citing papers authored by Yanfeng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yanfeng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005170
2 201599
3 201195
4 202190
5 202089
6 201888
7 200669
8 202266
9 202163
10 201363
11 201656
12 201952
13 202348
14 201944
15 202143
16 201842
17 201638
18 201137
19 201932
20 201628

About Yanfeng Wu

Yanfeng Wu is a scholar working on Molecular Biology, Genetics, Rheumatology, Orthopedics and Sports Medicine and Immunology, having authored 75 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (18 papers), Spondyloarthritis Studies and Treatments (13 papers), Bone and Joint Diseases (12 papers), Autophagy in Disease and Therapy (7 papers), Spinal Cord Injury Research (6 papers), Extracellular vesicles in disease (5 papers), MicroRNA in disease regulation (5 papers) and Hematopoietic Stem Cell Transplantation (4 papers). The work is most often cited by research in Genetics (338 citations), Rheumatology (333 citations), Cancer Research (283 citations), Orthopedics and Sports Medicine (120 citations) and Immunology (301 citations). Yanfeng Wu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Zhongyu Xie, Huiyong Shen, Jinteng Li, Peng Wang, Shuizhong Cen, Zheng Guan, Tao Wan, Xuetao Cao, Wen Deng and Hongjun Su. Their work appears in journals such as Cell Death and Disease, Experimental & Molecular Medicine, Stem Cells and Development, Cellular and Molecular Life Sciences and Advanced Science.

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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