Ming‐Yu Yang

143 papers receiving 4.3k citations

Ming‐Yu Yang's Hit Papers

Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells 2013 · 1.3k citations
1.3k0+4+8Years since publication4008001.2k

Peers

Ming‐Yu Yang
Comparison fields: 5 of 144
  • Endocrine and Autonomic Systems 607
  • Aging 127
  • Geriatrics and Gerontology 157
  • Cancer Research 598
  • Molecular Biology 1.9k
Replace Kaori Sato with:
Kaori Sato Japan
Rebecca C. Taylor United Kingdom
Ning Sun China
Marcelo A. Mori Brazil
Francesca Luchetti Italy
Daniel Muñoz‐Espín United Kingdom
Dali Li China
Ming‐Yu Yang relative to Kaori Sato Japan Kaori Sato's profile →
Citations per field
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Kaori Sato · 1×
Citations per year

Countries citing papers authored by Ming‐Yu Yang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ming‐Yu Yang Line = papers co-authored together Ming‐Yu Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 153 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 →
20131263
2 2008145
3 2013141
4 2011128
5 2020128
6 2005109
7 2006103
8 201793
9 201285
10 200185
11 200380
12 200371
13 201469
14 202168
15 201265
16 201163
17 201256
18 200950
19 200147
20 200847

About Ming‐Yu Yang

Ming‐Yu Yang is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Physiology, Surgery and Oncology, having authored 153 papers that have together received 4.4k 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 (607 citations), Aging (127 citations), Geriatrics and Gerontology (157 citations), Cancer Research (598 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, Jun Wu, Ying Lian, Liying Yan, Jin Huang, Kaiqin Lao, Jie Yan and Hongshan Guo. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Endocrinology, Blood, PLoS ONE 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.

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