Mingxia Yan
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver physiology and pathology
Papers in
-
- MicroRNA in disease regulation 9
- Oncology 17
- Lung Cancer Research Studies 9
- Cancer Cells and Metastasis 8
- Co-authors
- Ming Yao (24 shared papers)Jinjun Li (14 shared papers)Chao Ge (8 shared papers)Jianren Gu (6 shared papers)Xianghuo He (10 shared papers)Dafang Wan (4 shared papers)Zheng Zhu (1 shared paper)Haiyang Xie (4 shared papers)
In The Last Decade
Mingxia Yan
34 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 79
- Cancer Research 1.1k
- Hepatology 354
- Oncology 846
- Molecular Biology 649
- Immunology and Allergy 28
Countries citing papers authored by Mingxia Yan
This map shows the geographic impact of Mingxia Yan'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 Mingxia Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingxia Yan more than expected).
Fields of papers citing papers by Mingxia Yan
This network shows the impact of papers produced by Mingxia Yan. 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 Mingxia Yan. The network helps show where Mingxia Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingxia Yan, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 494 | |
| 2 | 2009 | 396 | |
| 3 | 2010 | 274 | |
| 4 | 2010 | 221 | |
| 5 | 2009 | 193 | |
| 6 | 2011 | 156 | |
| 7 | 2017 | 153 | |
| 8 | 2018 | 116 | |
| 9 | 2015 | 115 | |
| 10 | 2014 | 114 | |
| 11 | 2012 | 87 | |
| 12 | 2010 | 85 | |
| 13 | 2019 | 80 | |
| 14 | 2010 | 66 | |
| 15 | 2013 | 48 | |
| 16 | 2015 | 43 | |
| 17 | 2013 | 37 | |
| 18 | 2014 | 37 | |
| 19 | 2018 | 32 | |
| 20 | 2013 | 22 |
About Mingxia Yan
Mingxia Yan is a scholar working on Cancer Research, Oncology, Hepatology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 2.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Lung Cancer Research Studies (9 papers), Cancer Cells and Metastasis (8 papers), Mechanisms of cancer metastasis (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), RNA Research and Splicing (2 papers), Ubiquitin and proteasome pathways (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Cancer Research (1.1k citations), Hepatology (354 citations), Oncology (846 citations), Molecular Biology (649 citations) and Immunology and Allergy (28 citations). Mingxia Yan has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Ming Yao, Jinjun Li, Chao Ge, Jianren Gu, Xianghuo He, Dafang Wan, Zheng Zhu, Haiyang Xie, Linhui Liang and Hechun Lin. Their work appears in journals such as Hepatology, Cancer Research, International Journal of Cancer, Experimental Cell Research and Journal of Cancer.
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.