Ming Yang
Impact in
- Geriatrics and Gerontology top 2%
- Frailty in Older Adults
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
Papers in
- Physiology 43
- Nutrition and Health in Aging 36
- Body Composition Measurement Techniques 9
- Oncology 41
- Inflammatory Biomarkers in Disease Prognosis 30
- Co-authors
- Guo‐Tian Ruan (47 shared papers)Mengmeng Song (44 shared papers)Hanping Shi (46 shared papers)Yi‐Zhong Ge (45 shared papers)Meng Tang (32 shared papers)Xiaowei Zhang (31 shared papers)Yongjun Wang (11 shared papers)Hailun Xie (34 shared papers)
- Journals
- Frontiers in Oncology (8 papers)Journal of Cachexia Sarcopenia and Muscle (7 papers)Frontiers in Nutrition (4 papers)Nutrition (4 papers)Stroke and Vascular Neurology (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ming Yang
119 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 136
- Geriatrics and Gerontology 139
- Internal Medicine 125
- Oncology 428
- Physiology 403
- Epidemiology 404
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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 86 | |
| 2 | 2019 | 79 | |
| 3 | 2021 | 79 | |
| 4 | 2021 | 71 | |
| 5 | 2021 | 62 | |
| 6 | 2021 | 52 | |
| 7 | 2019 | 47 | |
| 8 | 2022 | 43 | |
| 9 | 2023 | 41 | |
| 10 | 2020 | 40 | |
| 11 | 2023 | 40 | |
| 12 | 2021 | 35 | |
| 13 | 2020 | 34 | |
| 14 | 2021 | 33 | |
| 15 | 2023 | 30 | |
| 16 | 2018 | 30 | |
| 17 | 2021 | 26 | |
| 18 | 2017 | 25 | |
| 19 | 2023 | 24 | |
| 20 | 2021 | 22 |
About Ming Yang
Ming Yang is a scholar working on Physiology, Oncology, Pulmonary and Respiratory Medicine, Epidemiology and Molecular Biology, having authored 128 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nutrition and Health in Aging (36 papers), Inflammatory Biomarkers in Disease Prognosis (30 papers), Frailty in Older Adults (15 papers), Acute Ischemic Stroke Management (12 papers), Cerebrovascular and Carotid Artery Diseases (10 papers), Cancer, Lipids, and Metabolism (9 papers), Body Composition Measurement Techniques (9 papers) and Adipokines, Inflammation, and Metabolic Diseases (8 papers). The work is most often cited by research in Geriatrics and Gerontology (139 citations), Internal Medicine (125 citations), Oncology (428 citations), Physiology (403 citations) and Epidemiology (404 citations). Ming Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Guo‐Tian Ruan, Mengmeng Song, Hanping Shi, Yi‐Zhong Ge, Meng Tang, Xiaowei Zhang, Yongjun Wang, Hailun Xie, Xiaochuan Huo and Xi Zhang. Their work appears in journals such as Frontiers in Oncology, Journal of Cachexia Sarcopenia and Muscle, Frontiers in Nutrition, Nutrition and Stroke and Vascular Neurology.
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.