Mingxiang Ye
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Medicine top 5%
Papers in
-
- Epigenetics and DNA Methylation 4
- Ubiquitin and proteasome pathways 4
- Oncology 14
- HER2/EGFR in Cancer Research 4
- Lung Cancer Research Studies 4
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Tangfeng Lv (12 shared papers)Dong Wang (3 shared papers)Faxiang Wang (1 shared paper)Libo Yao (4 shared papers)Dian Fu (1 shared paper)Fang Zhang (2 shared papers)Yi Ren (1 shared paper)Xinyi Xia (1 shared paper)
- Journals
- Cancer Letters (3 papers)Oncotarget (3 papers)Scientific Reports (2 papers)Biomarker Research (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Mingxiang Ye
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Cancer Research 266
- Molecular Medicine 73
- Infectious Diseases 261
- Molecular Biology 596
- Oncology 226
Countries citing papers authored by Mingxiang Ye
This map shows the geographic impact of Mingxiang Ye'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 Mingxiang Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingxiang Ye more than expected).
Fields of papers citing papers by Mingxiang Ye
This network shows the impact of papers produced by Mingxiang Ye. 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 Mingxiang Ye. The network helps show where Mingxiang Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingxiang Ye, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 275 | |
| 2 | 2014 | 179 | |
| 3 | 2018 | 67 | |
| 4 | 2021 | 62 | |
| 5 | 2017 | 59 | |
| 6 | 2018 | 46 | |
| 7 | 2017 | 42 | |
| 8 | 2021 | 42 | |
| 9 | 2015 | 40 | |
| 10 | 2015 | 36 | |
| 11 | 2017 | 33 | |
| 12 | 2016 | 32 | |
| 13 | 2016 | 25 | |
| 14 | 2015 | 23 | |
| 15 | 2018 | 23 | |
| 16 | 2022 | 22 | |
| 17 | 2016 | 20 | |
| 18 | 2021 | 16 | |
| 19 | 2017 | 16 | |
| 20 | 2024 | 15 |
About Mingxiang Ye
Mingxiang Ye is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Epidemiology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (7 papers), MicroRNA in disease regulation (4 papers), HER2/EGFR in Cancer Research (4 papers), Epigenetics and DNA Methylation (4 papers), Lung Cancer Research Studies (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Ubiquitin and proteasome pathways (4 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Cancer Research (266 citations), Molecular Medicine (73 citations), Infectious Diseases (261 citations), Molecular Biology (596 citations) and Oncology (226 citations). Mingxiang Ye has collaborated with scholars based in China and United States. Frequent co-authors include Tangfeng Lv, Dong Wang, Faxiang Wang, Libo Yao, Dian Fu, Fang Zhang, Yi Ren, Xinyi Xia, Jiän Zhang and Pengyu Jing. Their work appears in journals such as Cancer Letters, Oncotarget, Scientific Reports, Biomarker Research and Clinical Cancer Research.
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.