Chaofei Yang

1.4k citations
23 papers · 924 · h-index 15

Impact in

Papers in

    • Bone Metabolism and Diseases 7
    • Circular RNAs in diseases 4
    • RNA Research and Splicing 3
    • MicroRNA in disease regulation 6
    • Cancer-related molecular mechanisms research 4

Chaofei Yang

22 papers receiving 919 citations

Peers

Chaofei Yang
Comparison fields: 5 of 96
  • Cancer Research 289
  • Orthopedics and Sports Medicine 60
  • Molecular Biology 481
  • Genetics 57
  • Aging 9
Replace Peihong Su with:
Peihong Su China
Guoli Hu China
Sho Matsuyama Japan
Emel Esen United States
Peng Deng United States
Jin Fan China
Qiang Jie China
Satoko Sunamura Japan
Min Hu China
Jeongmi Lee South Korea
Chaofei Yang relative to Peihong Su China Peihong Su's profile →
Citations per field
00.5×1.5×
Peihong Su · 1×
Citations per year

Countries citing papers authored by Chaofei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chaofei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020227
2 2018185
3 201763
4 201962
5 202050
6 201947
7 202039
8 202237
9 201934
10 201931
11 201827
12 202027
13 202024
14 201822
15 202116
16 202010
17 20219
18 20217
19 20203
20 20232

About Chaofei Yang

Chaofei Yang is a scholar working on Molecular Biology, Cancer Research, Rheumatology, Cell Biology and Oncology, having authored 23 papers that have together received 924 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (7 papers), MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (4 papers), Bone and Dental Protein Studies (3 papers), RNA Research and Splicing (3 papers), Phytochemistry and Biological Activities (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Cancer Research (289 citations), Orthopedics and Sports Medicine (60 citations), Molecular Biology (481 citations), Genetics (57 citations) and Aging (9 citations). Chaofei Yang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Airong Qian, Ye Tian, Peihong Su, Fan Zhao, Chong Yin, Xiaoli Ma, Yu Li, Zhihao Chen, Jiawei Pei and Dijie Li. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Cell and Developmental Biology, Theranostics, Cancer Cell International and The Journal of Clinical Endocrinology & Metabolism.

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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