Ming Yu
Impact in
- 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
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in ⓘ
-
- Epigenetics and DNA Methylation 10
- RNA modifications and cancer 6
- Genomics and Chromatin Dynamics 6
- Receptor Mechanisms and Signaling 5
- RNA Research and Splicing 3
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- Neuropeptides and Animal Physiology 4
- Nerve injury and regeneration 3
- Co-authors
- Robert G. Roeder (5 shared papers)Ting Ni (4 shared papers)Jun Zhu (2 shared papers)Alan Cantor (4 shared papers)Ernest Fraenkel (3 shared papers)Tyler B. Moran (2 shared papers)Lars Terenius (8 shared papers)Huafeng Xie (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Communications Biology (2 papers)The FASEB Journal (2 papers)Molecular and Cellular Biology (2 papers)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Ming Yu
38 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.0k
- Hematology 167
- Endocrinology 48
- Immunology 172
- Genetics 78
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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 250 | |
| 2 | 2015 | 182 | |
| 3 | 2012 | 160 | |
| 4 | 1996 | 100 | |
| 5 | 2013 | 91 | |
| 6 | 2008 | 67 | |
| 7 | 2020 | 54 | |
| 8 | 2011 | 49 | |
| 9 | 1999 | 40 | |
| 10 | 2000 | 32 | |
| 11 | 2021 | 31 | |
| 12 | 2008 | 30 | |
| 13 | 2008 | 27 | |
| 14 | 2014 | 27 | |
| 15 | 2018 | 25 | |
| 16 | 2008 | 24 | |
| 17 | 2010 | 23 | |
| 18 | 2011 | 23 | |
| 19 | 2004 | 22 | |
| 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 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (10 papers), RNA modifications and cancer (6 papers), Genomics and Chromatin Dynamics (6 papers), Receptor Mechanisms and Signaling (5 papers), Neuropeptides and Animal Physiology (4 papers), Nerve injury and regeneration (3 papers), Acute Myeloid Leukemia Research (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Hematology (167 citations), Endocrinology (48 citations), Immunology (172 citations) and Genetics (78 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, Lars Terenius, Huafeng Xie, Wenjing Yang and Vladana Vukojević. Their work appears in journals such as Proceedings of the National Academy of Sciences, Communications Biology, The FASEB Journal, Molecular and Cellular Biology and International Journal of Biological Macromolecules.
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.