Bin Yang
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Virology top 5%
- HIV Research and Treatment
Papers in
-
- Circular RNAs in diseases 7
- RNA modifications and cancer 6
-
- Cancer-related molecular mechanisms research 13
- MicroRNA in disease regulation 9
- Co-authors
- Dongfeng Gu (8 shared papers)Laiyuan Wang (8 shared papers)Shufeng Chen (6 shared papers)Fu‐Liu Xu (8 shared papers)Xiaozhong Peng (6 shared papers)Xiaochao Tan (5 shared papers)Keyang Chen (1 shared paper)Hui Zhang (1 shared paper)
- Journals
- Journal of Cranio-Maxillofacial Surgery (5 papers)Journal of Craniofacial Surgery (5 papers)Atherosclerosis (4 papers)The Science of The Total Environment (3 papers)PROTEOMICS (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Bin Yang
100 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 130
- Cancer Research 626
- Virology 85
- Molecular Biology 1.1k
- Geriatrics and Gerontology 47
- Neurology 97
Countries citing papers authored by Bin Yang
This map shows the geographic impact of Bin 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 Bin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Yang more than expected).
Fields of papers citing papers by Bin Yang
This network shows the impact of papers produced by Bin 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 Bin Yang. The network helps show where Bin Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 180 | |
| 2 | 2019 | 123 | |
| 3 | 2007 | 112 | |
| 4 | 2019 | 110 | |
| 5 | 2018 | 102 | |
| 6 | 2012 | 90 | |
| 7 | 2014 | 86 | |
| 8 | 2012 | 84 | |
| 9 | 2017 | 74 | |
| 10 | 2019 | 66 | |
| 11 | 2019 | 62 | |
| 12 | 2010 | 50 | |
| 13 | 2018 | 48 | |
| 14 | 2022 | 46 | |
| 15 | 2016 | 42 | |
| 16 | 2012 | 42 | |
| 17 | 2015 | 40 | |
| 18 | Long non-coding RNA SNHG16 contributes to glioma malignancy by competitively binding miR-20a-5p with E2F1. | 2018 | 38 |
| 19 | 2020 | 37 | |
| 20 | 2016 | 37 |
About Bin Yang
Bin Yang is a scholar working on Molecular Biology, Cancer Research, Surgery, Genetics and Oncology, having authored 112 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (13 papers), MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (7 papers), RNA modifications and cancer (6 papers), Pancreatitis Pathology and Treatment (6 papers), Plant Stress Responses and Tolerance (6 papers), Craniofacial Disorders and Treatments (6 papers) and Cleft Lip and Palate Research (5 papers). The work is most often cited by research in Cancer Research (626 citations), Virology (85 citations), Molecular Biology (1.1k citations), Geriatrics and Gerontology (47 citations) and Neurology (97 citations). Bin Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dongfeng Gu, Laiyuan Wang, Shufeng Chen, Fu‐Liu Xu, Xiaozhong Peng, Xiaochao Tan, Keyang Chen, Hui Zhang, Huijuan Zhu and Chune Zhang. Their work appears in journals such as Journal of Cranio-Maxillofacial Surgery, Journal of Craniofacial Surgery, Atherosclerosis, The Science of The Total Environment and PROTEOMICS.
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.