Guanteng Yang

462 citations
28 papers · 322 · h-index 12

Impact in

    • Scoliosis diagnosis and treatment
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • Scoliosis diagnosis and treatment 14
    • Infectious Diseases and Tuberculosis 4
    • Bone Metabolism and Diseases 2
    • TGF-β signaling in diseases 2
    • Protein Tyrosine Phosphatases 2

Guanteng Yang

25 papers receiving 319 citations

Peers

Guanteng Yang
Comparison fields: 5 of 69
  • Surgery 121
  • Cancer Research 34
  • Genetics 58
  • Molecular Biology 103
  • Orthopedics and Sports Medicine 11
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Shangli Liu China
Katharina Sommer Germany
Rahma Melki Morocco
Annika Vienonen Finland
Weiyun Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Guanteng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Guanteng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201844
2 201741
3 201932
4 202021
5 201920
6 202016
7 201916
8 202016
9 201916
10 201714
11 202014
12 201912
13 20219
14 20178
15 20226
16 20176
17 20196
18 20224
19 20204
20 20203

About Guanteng Yang

Guanteng Yang is a scholar working on Surgery, Molecular Biology, Immunology, Cancer Research and Infectious Diseases, having authored 28 papers that have together received 322 indexed citations. Recurring topics across this work include Scoliosis diagnosis and treatment (14 papers), Infectious Diseases and Tuberculosis (4 papers), Cancer-related molecular mechanisms research (4 papers), Tuberculosis Research and Epidemiology (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Bone Metabolism and Diseases (2 papers), TGF-β signaling in diseases (2 papers) and Protein Tyrosine Phosphatases (2 papers). The work is most often cited by research in Surgery (121 citations), Cancer Research (34 citations), Genetics (58 citations), Molecular Biology (103 citations) and Orthopedics and Sports Medicine (11 citations). Guanteng Yang has collaborated with scholars based in China and United States. Frequent co-authors include Hongqi Zhang, Yunjia Wang, Jiong Li, Longjie Wang, Mingxing Tang, Chaofeng Guo, Shaohua Liu, Yongyi Zou, Hailong Han and Qile Gao. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Translational Medicine, BMC Musculoskeletal Disorders, Journal of Orthopaedic Surgery and Research and Clinical Epigenetics.

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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