Yan‐Bin Ma
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Glioma Diagnosis and Treatment
Papers in
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- Epigenetics and DNA Methylation 6
- RNA Interference and Gene Delivery 4
- Genomics and Chromatin Dynamics 4
- RNA Research and Splicing 2
- Genetics 8
- Glioma Diagnosis and Treatment 8
- Co-authors
- Sheng‐Hua Chu (20 shared papers)Dong‐Fu Feng (12 shared papers)Pucha Jiang (6 shared papers)Zhiqiang Li (5 shared papers)Zhiqiang Li (1 shared paper)Biao Yang (6 shared papers)Jianhua Qiu (2 shared papers)Zhiqiang Li (2 shared papers)
- Journals
- Journal of Translational Medicine (3 papers)Molecular Biology Reports (2 papers)International Journal of Emerging Technologies in Learning (iJET) (1 paper)Journal of Surgical Research (1 paper)International Journal of Pavement Engineering (1 paper)
- Partner nations
- China
In The Last Decade
Yan‐Bin Ma
33 papers receiving 464 citations
Peers
Comparison fields: 5 of 95
- Cancer Research 117
- Genetics 52
- Molecular Biology 274
- Biomaterials 43
- Oncology 73
Countries citing papers authored by Yan‐Bin Ma
This map shows the geographic impact of Yan‐Bin Ma'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 Yan‐Bin Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan‐Bin Ma more than expected).
Fields of papers citing papers by Yan‐Bin Ma
This network shows the impact of papers produced by Yan‐Bin Ma. 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 Yan‐Bin Ma. The network helps show where Yan‐Bin Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan‐Bin Ma, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 63 | |
| 2 | 2012 | 46 | |
| 3 | 2011 | 35 | |
| 4 | 2011 | 34 | |
| 5 | 2008 | 31 | |
| 6 | 2022 | 30 | |
| 7 | 2009 | 29 | |
| 8 | 2016 | 29 | |
| 9 | 2012 | 19 | |
| 10 | 2013 | 17 | |
| 11 | 2018 | 14 | |
| 12 | 2018 | 13 | |
| 13 | 2013 | 12 | |
| 14 | 2011 | 12 | |
| 15 | 2019 | 12 | |
| 16 | 2013 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2007 | 9 | |
| 19 | 2020 | 8 | |
| 20 | 2019 | 7 |
About Yan‐Bin Ma
Yan‐Bin Ma is a scholar working on Molecular Biology, Genetics, Cancer Research, Surgery and Management, Monitoring, Policy and Law, having authored 34 papers that have together received 469 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), Epigenetics and DNA Methylation (6 papers), RNA Interference and Gene Delivery (4 papers), MicroRNA in disease regulation (4 papers), Genomics and Chromatin Dynamics (4 papers), Cancer-related molecular mechanisms research (3 papers), Liver physiology and pathology (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (117 citations), Genetics (52 citations), Molecular Biology (274 citations), Biomaterials (43 citations) and Oncology (73 citations). Yan‐Bin Ma has collaborated with scholars based in China. Frequent co-authors include Sheng‐Hua Chu, Dong‐Fu Feng, Pucha Jiang, Zhiqiang Li, Zhiqiang Li, Biao Yang, Jianhua Qiu, Zhiqiang Li, Hong Zhang and Hong Zhang. Their work appears in journals such as Journal of Translational Medicine, Molecular Biology Reports, International Journal of Emerging Technologies in Learning (iJET), Journal of Surgical Research and International Journal of Pavement Engineering.
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.