Ming Yu
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 5%
Papers in
-
- Epigenetics and DNA Methylation 16
- PI3K/AKT/mTOR signaling in cancer 6
- RNA modifications and cancer 5
- Oncology 31
- Cytokine Signaling Pathways and Interactions 5
- Co-authors
- William M. Grady (31 shared papers)Sanford D. Markowitz (6 shared papers)Ning Guo (11 shared papers)Ming Shi (8 shared papers)Meiru Hu (9 shared papers)E. Georg Luebeck (5 shared papers)Daniel V. Santi (3 shared papers)Tao Zhou (6 shared papers)
- Journals
- Epigenetics (4 papers)Clinical Epigenetics (3 papers)Cancer Epidemiology Biomarkers & Prevention (3 papers)Cancer Research (3 papers)Journal of Clinical Oncology (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ming Yu
71 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 111
- Cancer Research 636
- Oncology 805
- Molecular Biology 1.4k
- Pathology and Forensic Medicine 279
- Immunology 267
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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 199 | |
| 2 | 2020 | 154 | |
| 3 | 2009 | 113 | |
| 4 | 2004 | 111 | |
| 5 | 2014 | 86 | |
| 6 | 2019 | 85 | |
| 7 | 2019 | 85 | |
| 8 | 2009 | 73 | |
| 9 | 2007 | 72 | |
| 10 | 2014 | 65 | |
| 11 | 1998 | 63 | |
| 12 | 2015 | 62 | |
| 13 | 2013 | 62 | |
| 14 | 2013 | 61 | |
| 15 | 2007 | 60 | |
| 16 | 2009 | 57 | |
| 17 | 1999 | 54 | |
| 18 | 2020 | 51 | |
| 19 | 2007 | 51 | |
| 20 | 2017 | 43 |
About Ming Yu
Ming Yu is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 77 papers that have together received 2.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (16 papers), Protease and Inhibitor Mechanisms (8 papers), Genetic factors in colorectal cancer (7 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Esophageal Cancer Research and Treatment (6 papers), Cancer Genomics and Diagnostics (6 papers), Cytokine Signaling Pathways and Interactions (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Cancer Research (636 citations), Oncology (805 citations), Molecular Biology (1.4k citations), Pathology and Forensic Medicine (279 citations) and Immunology (267 citations). Ming Yu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include William M. Grady, Sanford D. Markowitz, Ning Guo, Ming Shi, Meiru Hu, E. Georg Luebeck, Daniel V. Santi, Tao Zhou, William D. Hazelton and Kelly Carter. Their work appears in journals such as Epigenetics, Clinical Epigenetics, Cancer Epidemiology Biomarkers & Prevention, Cancer Research and Journal of Clinical Oncology.
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.