Ming Yu
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- RNA Research and Splicing
- Cancer-related gene regulation
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
Papers in
-
- Epigenetics and DNA Methylation 11
- Genomics and Chromatin Dynamics 7
- RNA modifications and cancer 6
- Receptor Mechanisms and Signaling 3
- RNA Research and Splicing 3
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- Neuropeptides and Animal Physiology 4
- Nerve injury and regeneration 3
- Co-authors
- Robert G. Roeder (6 shared papers)Ting Ni (4 shared papers)Jun Zhu (2 shared papers)Alan Cantor (5 shared papers)Ernest Fraenkel (4 shared papers)Tyler B. Moran (3 shared papers)Huafeng Xie (3 shared papers)Lars Terenius (8 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Molecular and Cellular Biology (2 papers)Molecular Cell (2 papers)The FASEB Journal (2 papers)Communications Biology (2 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Ming Yu
39 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 105
- Hematology 167
- Molecular Biology 1.0k
- Endocrinology 48
- Immunology 171
- Genetics 77
Countries citing papers authored by Ming Yu
This map shows the geographic impact of Ming Yu'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 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 more than expected).
Fields of papers citing papers by Ming Yu
This network shows the impact of papers produced by Ming Yu. 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. The network helps show where Ming Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Yu, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 255 | |
| 2 | 2015 | 190 | |
| 3 | 2012 | 169 | |
| 4 | 1996 | 102 | |
| 5 | 2013 | 100 | |
| 6 | 2008 | 72 | |
| 7 | 2020 | 55 | |
| 8 | 2011 | 50 | |
| 9 | 1999 | 41 | |
| 10 | 2021 | 34 | |
| 11 | 2000 | 32 | |
| 12 | 2008 | 32 | |
| 13 | 2014 | 27 | |
| 14 | 2008 | 27 | |
| 15 | 2018 | 26 | |
| 16 | 2008 | 26 | |
| 17 | 2011 | 25 | |
| 18 | 2010 | 24 | |
| 19 | 2004 | 23 | |
| 20 | 1999 | 21 |
About Ming Yu
Ming Yu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Plant Science, Genetics and Immunology, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (11 papers), Genomics and Chromatin Dynamics (7 papers), RNA modifications and cancer (6 papers), Neuropeptides and Animal Physiology (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Receptor Mechanisms and Signaling (3 papers), RNA Research and Splicing (3 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Hematology (167 citations), Molecular Biology (1.0k citations), Endocrinology (48 citations), Immunology (171 citations) and Genetics (77 citations). Ming Yu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Robert G. Roeder, Ting Ni, Jun Zhu, Alan Cantor, Ernest Fraenkel, Tyler B. Moran, Huafeng Xie, Lars Terenius, Zhanyun Tang and Vladana Vukojević. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Molecular Cell, The FASEB Journal and Communications Biology.
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.