Ming Yang
Impact in
- Metals and Alloys top 5%
- Hydrogen embrittlement and corrosion behaviors in metals
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Breast Cancer Treatment Studies
Papers in
-
- RNA modifications and cancer 9
-
- Cancer-related molecular mechanisms research 11
- Breast Cancer Treatment Studies 5
- MicroRNA in disease regulation 5
- Co-authors
- Xia Wu (2 shared papers)Wenlong Jia (2 shared papers)Lan Lan (1 shared paper)Jinhai Huo (1 shared paper)Qi Zhao (4 shared papers)Yupeng Wu (5 shared papers)Ya‐Chen Tina Shih (1 shared paper)Xiao Liu (4 shared papers)
- Journals
- Medicine (6 papers)Journal of Food Composition and Analysis (3 papers)Frontiers in Oncology (3 papers)PLoS ONE (2 papers)Renal Failure (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ming Yang
107 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 148
- Metals and Alloys 75
- Cancer Research 243
- Energy Engineering and Power Technology 40
- Oncology 216
- Pharmacology 72
Countries citing papers authored by Ming Yang
This map shows the geographic impact of Ming Yang'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 Ming Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yang more than expected).
Fields of papers citing papers by Ming Yang
This network shows the impact of papers produced by Ming Yang. 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 Ming Yang. The network helps show where Ming Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Yang, 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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 159 | |
| 2 | 2020 | 98 | |
| 3 | 2007 | 69 | |
| 4 | 2004 | 67 | |
| 5 | 2012 | 54 | |
| 6 | 2020 | 53 | |
| 7 | 2021 | 49 | |
| 8 | 2022 | 43 | |
| 9 | 2015 | 43 | |
| 10 | 2009 | 43 | |
| 11 | 2007 | 38 | |
| 12 | 2019 | 38 | |
| 13 | 2014 | 37 | |
| 14 | 2017 | 36 | |
| 15 | 2018 | 35 | |
| 16 | 2003 | 34 | |
| 17 | 2023 | 32 | |
| 18 | 2023 | 29 | |
| 19 | 2021 | 29 | |
| 20 | 2013 | 28 |
About Ming Yang
Ming Yang is a scholar working on Molecular Biology, Cancer Research, Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 117 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (11 papers), RNA modifications and cancer (9 papers), Breast Cancer Treatment Studies (5 papers), Cancer-related Molecular Pathways (5 papers), MicroRNA in disease regulation (5 papers), Pesticide Residue Analysis and Safety (5 papers), Building Energy and Comfort Optimization (5 papers) and Analytical chemistry methods development (4 papers). The work is most often cited by research in Metals and Alloys (75 citations), Cancer Research (243 citations), Energy Engineering and Power Technology (40 citations), Oncology (216 citations) and Pharmacology (72 citations). Ming Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xia Wu, Wenlong Jia, Lan Lan, Jinhai Huo, Qi Zhao, Yupeng Wu, Ya‐Chen Tina Shih, Xiao Liu, Yanyi Sun and Haiyun Li. Their work appears in journals such as Medicine, Journal of Food Composition and Analysis, Frontiers in Oncology, PLoS ONE and Renal Failure.
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.