Yanming Chen
Impact in
- Pharmaceutical Science top 10%
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Genetics 15
- Glioma Diagnosis and Treatment 14
- Virus-based gene therapy research 3
- Co-authors
- Tongtong Zhang (2 shared papers)Yuanyuan Ge (2 shared papers)Yiguang Jin (2 shared papers)Miao Li (2 shared papers)Yuzhen Hu (1 shared paper)Wang Ning-sheng (1 shared paper)Xingliang Dai (12 shared papers)Jun Dong (15 shared papers)
- Journals
- Oncology Reports (2 papers)Cell Death and Disease (2 papers)Cancer Biomarkers (2 papers)Cancer Medicine (2 papers)Frontiers in Oncology (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yanming Chen
38 papers receiving 626 citations
Peers
Comparison fields: 5 of 100
- Pharmaceutical Science 55
- Cancer Research 133
- Genetics 89
- Molecular Medicine 41
- Health Informatics 6
Countries citing papers authored by Yanming Chen
This map shows the geographic impact of Yanming Chen'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 Yanming Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanming Chen more than expected).
Fields of papers citing papers by Yanming Chen
This network shows the impact of papers produced by Yanming Chen. 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 Yanming Chen. The network helps show where Yanming Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanming Chen, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 152 | |
| 2 | [Effect of borneol on the intercellular tight junction and pinocytosis vesicles in vitro blood-brain barrier model]. | 2004 | 43 |
| 3 | 2015 | 38 | |
| 4 | 2017 | 30 | |
| 5 | 2018 | 27 | |
| 6 | 2015 | 26 | |
| 7 | 2015 | 23 | |
| 8 | 2014 | 22 | |
| 9 | 2020 | 22 | |
| 10 | 2018 | 21 | |
| 11 | 2015 | 20 | |
| 12 | 2023 | 20 | |
| 13 | 2023 | 15 | |
| 14 | 2024 | 14 | |
| 15 | 2012 | 14 | |
| 16 | 2020 | 14 | |
| 17 | 2023 | 14 | |
| 18 | 2021 | 12 | |
| 19 | 2015 | 11 | |
| 20 | 2023 | 11 |
About Yanming Chen
Yanming Chen is a scholar working on Genetics, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Oncology, having authored 38 papers that have together received 634 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (14 papers), Cancer Research and Treatments (8 papers), Cancer, Hypoxia, and Metabolism (6 papers), Cancer Cells and Metastasis (5 papers), MicroRNA in disease regulation (5 papers), Nanoplatforms for cancer theranostics (3 papers), Virus-based gene therapy research (3 papers) and Nanoparticle-Based Drug Delivery (3 papers). The work is most often cited by research in Pharmaceutical Science (55 citations), Cancer Research (133 citations), Genetics (89 citations), Molecular Medicine (41 citations) and Health Informatics (6 citations). Yanming Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Tongtong Zhang, Yuanyuan Ge, Yiguang Jin, Miao Li, Yuzhen Hu, Wang Ning-sheng, Xingliang Dai, Jun Dong, Qing Lan and Qiang Huang. Their work appears in journals such as Oncology Reports, Cell Death and Disease, Cancer Biomarkers, Cancer Medicine and Frontiers in Oncology.
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.