Ming‐Yu Yang
Impact in
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- Circadian rhythm and melatonin
- Aging top 2%
Papers in
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- Epigenetics and DNA Methylation 5
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- Circadian rhythm and melatonin 18
- Co-authors
- Sheng‐Fung Lin (16 shared papers)Pai‐Mei Lin (26 shared papers)Cheng‐Ming Hsu (25 shared papers)Xiaoying Zheng (1 shared paper)Lu Wen (1 shared paper)Fuchou Tang (1 shared paper)Hongshan Guo (1 shared paper)Ying Lian (1 shared paper)
- Journals
- International Journal of Molecular Sciences (11 papers)Frontiers in Endocrinology (5 papers)PLoS ONE (4 papers)Blood (4 papers)Otolaryngology (4 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Ming‐Yu Yang
142 papers receiving 4.2k citations
Ming‐Yu Yang's Hit Papers
Peers
Comparison fields: 5 of 142
- Endocrine and Autonomic Systems 597
- Aging 127
- Geriatrics and Gerontology 153
- Cancer Research 583
- Molecular Biology 1.9k
Countries citing papers authored by Ming‐Yu Yang
This map shows the geographic impact of Ming‐Yu 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‐Yu 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‐Yu Yang more than expected).
Fields of papers citing papers by Ming‐Yu Yang
This network shows the impact of papers produced by Ming‐Yu 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‐Yu Yang. The network helps show where Ming‐Yu Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐Yu 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 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells Hit paper breakdown → | 2013 | 1247 |
| 2 | 2008 | 142 | |
| 3 | 2013 | 137 | |
| 4 | 2020 | 125 | |
| 5 | 2011 | 123 | |
| 6 | 2005 | 105 | |
| 7 | 2006 | 103 | |
| 8 | 2017 | 88 | |
| 9 | 2012 | 82 | |
| 10 | 2001 | 79 | |
| 11 | 2003 | 76 | |
| 12 | 2003 | 69 | |
| 13 | 2014 | 67 | |
| 14 | 2021 | 67 | |
| 15 | 2012 | 64 | |
| 16 | 2011 | 62 | |
| 17 | 2012 | 56 | |
| 18 | 2009 | 48 | |
| 19 | 2019 | 46 | |
| 20 | 2001 | 45 |
About Ming‐Yu Yang
Ming‐Yu Yang is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Physiology, Surgery and Oncology, having authored 152 papers that have together received 4.3k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (18 papers), Acute Myeloid Leukemia Research (8 papers), MicroRNA in disease regulation (7 papers), Chronic Myeloid Leukemia Treatments (7 papers), Epigenetics and DNA Methylation (5 papers), Cancer-related molecular mechanisms research (5 papers), Psychological and Temporal Perspectives Research (5 papers) and Vestibular and auditory disorders (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (597 citations), Aging (127 citations), Geriatrics and Gerontology (153 citations), Cancer Research (583 citations) and Molecular Biology (1.9k citations). Ming‐Yu Yang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Sheng‐Fung Lin, Pai‐Mei Lin, Cheng‐Ming Hsu, Xiaoying Zheng, Lu Wen, Fuchou Tang, Hongshan Guo, Ying Lian, Kaiqin Lao and Lu Yang. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Endocrinology, PLoS ONE, Blood and Otolaryngology.
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.