Yinhua Yu
- Molecular Biology top 2%
- Oncology top 2%
- Cancer Research top 1%
- Reproductive Medicine top 0.5%
- Genetics top 2%
- Topics
- Epigenetics and DNA Methylation (19 papers)Genetic Syndromes and Imprinting (15 papers)Ovarian cancer diagnosis and treatment (14 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationJournal of Clinical Oncology
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yinhua Yu
81 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 3.8k
- Oncology 1.2k
- Cancer Research 1.1k
- Reproductive Medicine 1.0k
- Genetics 790
Countries citing papers authored by Yinhua Yu
This map shows the geographic impact of Yinhua 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 Yinhua Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinhua Yu more than expected).
Fields of papers citing papers by Yinhua Yu
This network shows the impact of papers produced by Yinhua 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 Yinhua Yu. The network helps show where Yinhua Yu may publish in the future.
Co-authorship network of co-authors of Yinhua Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Yinhua Yu. A scholar is included among the top collaborators of Yinhua Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yinhua Yu. Yinhua Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 20 | |
| 3 | 43 | |
| 4 | 50 | |
| 5 | 1 | |
| 6 | 371 | |
| 7 | 35 | |
| 8 | 44 | |
| 9 | 12 | |
| 10 | 62 | |
| 11 | 72 | |
| 12 | 376 | |
| 13 | 80 | |
| 14 | 123 | |
| 15 | Expression of the tumor suppressor gene ARHI induces autophagic cell death in ovarian cancer cells | 2 |
| 16 | 83 | |
| 17 | 87 | |
| 18 | Synergistic interaction between anti-p185HER-2 ricin A chain immunotoxins and radionuclide conjugates for inhibiting growth of ovarian and breast cancer cells that overexpress HER-2. | 11 |
| 19 | The outcome of heregulin-induced activation of ovarian cancer cells depends on the relative levels of HER-2 and HER-3 expression. | 58 |
| 20 | 174 |
About Yinhua Yu
Yinhua Yu is a scholar working on Reproductive Medicine, Cancer Research and Genetics, having authored 82 papers that have together received 5.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (19 papers), Genetic Syndromes and Imprinting (15 papers) and Ovarian cancer diagnosis and treatment (14 papers). The work is most often cited by research in Reproductive Medicine (1.0k citations), Cancer Research (1.1k citations) and Molecular Biology (3.8k citations). Yinhua Yu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Robert C. Bast, Gordon B. Mills, Zhen Lü, Jinsong Liu, Robert Z. Luo, Yiling Lu, Youji Feng, Fengji Xu, Warren S.‐L. Liao and H.W.A. de Bruijn. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation 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.