Ming Yang
Impact in
- Oncology top 10%
- Inflammatory Biomarkers in Disease Prognosis
- Physiology top 10%
- Nutrition and Health in Aging
Papers in
- Oncology 30
- Inflammatory Biomarkers in Disease Prognosis 22
- Physiology 26
- Nutrition and Health in Aging 20
- Co-authors
- Guo‐Tian Ruan (47 shared papers)Yi‐Zhong Ge (45 shared papers)Mengmeng Song (44 shared papers)Hanping Shi (46 shared papers)Meng Tang (32 shared papers)Xiaowei Zhang (31 shared papers)Hailun Xie (34 shared papers)Yongjun Wang (11 shared papers)
- Journals
- Frontiers in Oncology (8 papers)Journal of Cachexia Sarcopenia and Muscle (7 papers)Nutrition (4 papers)Clinical Nutrition (4 papers)Frontiers in Nutrition (4 papers)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Ming Yang
120 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 125
- Oncology 340
- Physiology 300
- Internal Medicine 36
- Geriatrics and Gerontology 34
- Epidemiology 251
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 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 100 | |
| 2 | 2019 | 84 | |
| 3 | 2021 | 83 | |
| 4 | 2021 | 74 | |
| 5 | 2021 | 70 | |
| 6 | 2022 | 65 | |
| 7 | 2021 | 53 | |
| 8 | 2023 | 50 | |
| 9 | 2019 | 49 | |
| 10 | 2023 | 45 | |
| 11 | 2020 | 42 | |
| 12 | 2021 | 37 | |
| 13 | 2021 | 35 | |
| 14 | 2020 | 35 | |
| 15 | 2023 | 34 | |
| 16 | 2018 | 31 | |
| 17 | 2021 | 28 | |
| 18 | 2023 | 27 | |
| 19 | 2017 | 26 | |
| 20 | 2021 | 24 |
About Ming Yang
Ming Yang is a scholar working on Oncology, Physiology, Pulmonary and Respiratory Medicine, Epidemiology and Molecular Biology, having authored 129 papers that have together received 1.8k indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (22 papers), Nutrition and Health in Aging (20 papers), Acute Ischemic Stroke Management (10 papers), Species Distribution and Climate Change (6 papers), Cerebrovascular and Carotid Artery Diseases (6 papers), Per- and polyfluoroalkyl substances research (6 papers), Plant and animal studies (5 papers) and Ecology and Vegetation Dynamics Studies (5 papers). The work is most often cited by research in Oncology (340 citations), Physiology (300 citations), Internal Medicine (36 citations), Geriatrics and Gerontology (34 citations) and Epidemiology (251 citations). Ming Yang has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Guo‐Tian Ruan, Yi‐Zhong Ge, Mengmeng Song, Hanping Shi, Meng Tang, Xiaowei Zhang, Hailun Xie, Yongjun Wang, Xiaochuan Huo and Heyang Zhang. Their work appears in journals such as Frontiers in Oncology, Journal of Cachexia Sarcopenia and Muscle, Nutrition, Clinical Nutrition and Frontiers in Nutrition.
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.