Mingxia Yan
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Hepatology top 2%
- Liver physiology and pathology
Papers in
-
- RNA modifications and cancer 8
- RNA Research and Splicing 6
- Ubiquitin and proteasome pathways 4
-
- MicroRNA in disease regulation 9
- Cancer-related molecular mechanisms research 6
- Co-authors
- Ming Yao (25 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)Guo‐Ping Jiang (4 shared papers)Zheng Zhu (1 shared paper)
- Journals
- Hepatology (4 papers)Cancer Research (3 papers)Experimental Cell Research (2 papers)International Journal of Cancer (2 papers)Journal of Cancer (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Mingxia Yan
36 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 94
- Cancer Research 1.2k
- Hepatology 273
- Oncology 881
- Molecular Biology 1.6k
- Biotechnology 82
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 491 | |
| 2 | 2009 | 386 | |
| 3 | 2010 | 268 | |
| 4 | 2010 | 221 | |
| 5 | 2009 | 190 | |
| 6 | 2011 | 151 | |
| 7 | 2017 | 146 | |
| 8 | 2015 | 114 | |
| 9 | 2014 | 113 | |
| 10 | 2018 | 113 | |
| 11 | 2012 | 85 | |
| 12 | 2010 | 85 | |
| 13 | 2019 | 79 | |
| 14 | 2010 | 65 | |
| 15 | 2013 | 48 | |
| 16 | 2015 | 43 | |
| 17 | 2013 | 37 | |
| 18 | 2014 | 36 | |
| 19 | 2018 | 31 | |
| 20 | 2013 | 20 |
About Mingxia Yan
Mingxia Yan is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Biotechnology, having authored 37 papers that have together received 2.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), RNA modifications and cancer (8 papers), Cancer Cells and Metastasis (7 papers), RNA Research and Splicing (6 papers), Cancer-related molecular mechanisms research (6 papers), Ubiquitin and proteasome pathways (4 papers), Ferroptosis and cancer prognosis (4 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Cancer Research (1.2k citations), Hepatology (273 citations), Oncology (881 citations), Molecular Biology (1.6k citations) and Biotechnology (82 citations). Mingxia Yan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ming Yao, Jinjun Li, Chao Ge, Jianren Gu, Xianghuo He, Dafang Wan, Guo‐Ping Jiang, Zheng Zhu, Haiyang Xie and Hechun Lin. Their work appears in journals such as Hepatology, Cancer Research, Experimental Cell Research, International Journal of Cancer 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.