Ying‐Yu Ma
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
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- Extracellular vesicles in disease
- RNA modifications and cancer
- Circular RNAs in diseases
Papers in
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- Epigenetics and DNA Methylation 4
- Cancer-related gene regulation 4
- RNA modifications and cancer 4
- FOXO transcription factor regulation 3
- Ubiquitin and proteasome pathways 2
- Oncology 13
- Cancer Immunotherapy and Biomarkers 3
- Pancreatic and Hepatic Oncology Research 3
- Co-authors
- Richard M. Pope (1 shared paper)Hui‐Ju Wang (17 shared papers)Yingjie Xia (10 shared papers)Hou‐Quan Tao (13 shared papers)Xujun He (12 shared papers)Haibo Yao (7 shared papers)Qin‐shu Shao (5 shared papers)Xiaozhou Mou (13 shared papers)
- Journals
- OncoTargets and Therapy (5 papers)Human Pathology (4 papers)Cancer Biomarkers (3 papers)The Anatomical Record (2 papers)International Journal of Molecular Medicine (2 papers)
- Partner nations
- ChinaUnited StatesLatvia
In The Last Decade
Ying‐Yu Ma
54 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Cancer Research 245
- Molecular Biology 519
- Immunology 144
- Oncology 158
- Geriatrics and Gerontology 18
Countries citing papers authored by Ying‐Yu Ma
This map shows the geographic impact of Ying‐Yu Ma'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 Ying‐Yu Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying‐Yu Ma more than expected).
Fields of papers citing papers by Ying‐Yu Ma
This network shows the impact of papers produced by Ying‐Yu Ma. 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 Ying‐Yu Ma. The network helps show where Ying‐Yu Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying‐Yu Ma, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 123 | |
| 2 | 2016 | 69 | |
| 3 | 2023 | 64 | |
| 4 | 2020 | 63 | |
| 5 | 2014 | 56 | |
| 6 | 2020 | 53 | |
| 7 | 2013 | 49 | |
| 8 | 2017 | 41 | |
| 9 | 2016 | 40 | |
| 10 | 2023 | 35 | |
| 11 | 2011 | 31 | |
| 12 | 2014 | 29 | |
| 13 | 2011 | 28 | |
| 14 | 2010 | 26 | |
| 15 | 2014 | 26 | |
| 16 | Up-regulation of ECT2 is associated with poor prognosis in gastric cancer patients. | 2014 | 26 |
| 17 | 2011 | 25 | |
| 18 | 2022 | 20 | |
| 19 | 2008 | 20 | |
| 20 | 2014 | 19 |
About Ying‐Yu Ma
Ying‐Yu Ma is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Cell Biology, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Cancer-related gene regulation (4 papers), RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (3 papers), FOXO transcription factor regulation (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Cancer Research (245 citations), Molecular Biology (519 citations), Immunology (144 citations), Oncology (158 citations) and Geriatrics and Gerontology (18 citations). Ying‐Yu Ma has collaborated with scholars based in China, United States and Latvia. Frequent co-authors include Richard M. Pope, Hui‐Ju Wang, Yingjie Xia, Hou‐Quan Tao, Xujun He, Haibo Yao, Qin‐shu Shao, Xiaozhou Mou, Zai‐yuan Ye and Yaqing Li. Their work appears in journals such as OncoTargets and Therapy, Human Pathology, Cancer Biomarkers, The Anatomical Record and International Journal of Molecular Medicine.
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.