Ge Yang
Impact in
- Pathology and Forensic Medicine top 10%
- Spine and Intervertebral Disc Pathology
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Circular RNAs in diseases 5
- Advanced biosensing and bioanalysis techniques 4
- Extracellular vesicles in disease 3
- Epidemiology 11
- Bone fractures and treatments 10
- Co-authors
- Haibo Mei (14 shared papers)Feng Qu (4 shared papers)Yue Wang (2 shared papers)Miaoda Shen (2 shared papers)Su Chen (1 shared paper)Zhiyun Feng (1 shared paper)Michele C. Battié (1 shared paper)Yuan‐Hao Liu (1 shared paper)
In The Last Decade
Ge Yang
42 papers receiving 479 citations
Peers
Comparison fields: 5 of 87
- Pathology and Forensic Medicine 115
- Cancer Research 85
- Pharmacology 53
- Developmental Biology 6
- Ceramics and Composites 13
Countries citing papers authored by Ge Yang
This map shows the geographic impact of Ge 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 Ge Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Yang more than expected).
Fields of papers citing papers by Ge Yang
This network shows the impact of papers produced by Ge 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 Ge Yang. The network helps show where Ge Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ge Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 51 | |
| 2 | 2018 | 49 | |
| 3 | 2018 | 38 | |
| 4 | 2015 | 31 | |
| 5 | 2023 | 29 | |
| 6 | Correlation between miR-126 expression and DNA hypomethylation of CD4+ T cells in rheumatoid arthritis patients. | 2015 | 26 |
| 7 | 2023 | 25 | |
| 8 | 2020 | 22 | |
| 9 | 2015 | 21 | |
| 10 | 2006 | 20 | |
| 11 | 2018 | 19 | |
| 12 | 2015 | 14 | |
| 13 | 2020 | 13 | |
| 14 | 2021 | 13 | |
| 15 | 2020 | 12 | |
| 16 | 2021 | 12 | |
| 17 | 2007 | 12 | |
| 18 | 2017 | 10 | |
| 19 | 2020 | 8 | |
| 20 | 2019 | 6 |
About Ge Yang
Ge Yang is a scholar working on Molecular Biology, Epidemiology, Surgery, Cancer Research and Pathology and Forensic Medicine, having authored 47 papers that have together received 483 indexed citations. Recurring topics across this work include Bone fractures and treatments (10 papers), Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (5 papers), Spine and Intervertebral Disc Pathology (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Cancer-related molecular mechanisms research (3 papers), Silicon Carbide Semiconductor Technologies (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (115 citations), Cancer Research (85 citations), Pharmacology (53 citations), Developmental Biology (6 citations) and Ceramics and Composites (13 citations). Ge Yang has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Haibo Mei, Feng Qu, Yue Wang, Miaoda Shen, Su Chen, Zhiyun Feng, Michele C. Battié, Yuan‐Hao Liu, Renbing Wu and Nian Yang. Their work appears in journals such as Orphanet Journal of Rare Diseases, Applied Physics A, Frontiers in Pediatrics, Journal of Orthopaedic Surgery and Research and Materials Letters.
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.