Yali Zhai
- Molecular Biology top 5%
- Cancer Research top 1%
- Oncology top 5%
- Reproductive Medicine top 1%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Kathleen R. ChoEric R. FearonRork KuickRong WuGuido T. BommerThomas J. GiordanoYing FengIsabelle Gerin
- Topics
- Ovarian cancer diagnosis and treatment (11 papers)Wnt/β-catenin signaling in development and cancer (7 papers)Endometrial and Cervical Cancer Treatments (5 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Yali Zhai
30 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 2.3k
- Cancer Research 1.3k
- Oncology 721
- Reproductive Medicine 621
- Pathology and Forensic Medicine 360
Countries citing papers authored by Yali Zhai
This map shows the geographic impact of Yali Zhai'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 Yali Zhai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yali Zhai more than expected).
Fields of papers citing papers by Yali Zhai
This network shows the impact of papers produced by Yali Zhai. 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 Yali Zhai. The network helps show where Yali Zhai may publish in the future.
Co-authorship network of co-authors of Yali Zhai
This figure shows the co-authorship network connecting the top 25 collaborators of Yali Zhai. A scholar is included among the top collaborators of Yali Zhai 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 Yali Zhai. Yali Zhai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 27 | |
| 4 | 17 | |
| 5 | 172 | |
| 6 | 86 | |
| 7 | 17 | |
| 8 | 1 | |
| 9 | 27 | |
| 10 | 99 | |
| 11 | 103 | |
| 12 | 203 | |
| 13 | 245 | |
| 14 | p53-Mediated Activation of miRNA34 Candidate Tumor-Suppressor Genesbreakdown → | 918 |
| 15 | 88 | |
| 16 | Gene expression in ovarian cancer reflects both morphology and biological behavior, distinguishing clear cell from other poor-prognosis ovarian carcinomas. | 348 |
| 17 | 125 | |
| 18 | 307 | |
| 19 | 16 | |
| 20 | 14 |
About Yali Zhai
Yali Zhai is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Cancer Research, having authored 32 papers that have together received 3.3k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (11 papers), Wnt/β-catenin signaling in development and cancer (7 papers) and Endometrial and Cervical Cancer Treatments (5 papers). The work is most often cited by research in Cancer Research (1.3k citations), Reproductive Medicine (621 citations) and Molecular Biology (2.3k citations). Yali Zhai has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Kathleen R. Cho, Eric R. Fearon, Rork Kuick, Rong Wu, Guido T. Bommer, Thomas J. Giordano, Ying Feng, Isabelle Gerin, Ormond A. MacDougald and Zhaohui Qin. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Gastroenterology.
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.