Kun Yao
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
- Co-authors
- Tao Jiang (12 shared papers)Changxiang Yan (9 shared papers)Shouwei Li (10 shared papers)Yinyan Wang (8 shared papers)Chenxing Wu (8 shared papers)Xiaoxia Peng (4 shared papers)Yongping You (3 shared papers)Pengfei Wang (4 shared papers)
- Journals
- Oncotarget (9 papers)Journal of Virology (4 papers)Cellular and Molecular Immunology (3 papers)Neuro-Oncology (2 papers)Cancer Management and Research (2 papers)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Kun Yao
99 papers receiving 2.0k citations
Kun Yao's Hit Papers
Peers
Comparison fields: 5 of 111
- Genetics 550
- Cancer Research 264
- Oncology 444
- Immunology 237
- Epidemiology 302
Countries citing papers authored by Kun Yao
This map shows the geographic impact of Kun Yao'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 Kun Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Yao more than expected).
Fields of papers citing papers by Kun Yao
This network shows the impact of papers produced by Kun Yao. 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 Kun Yao. The network helps show where Kun Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Yao, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Targeting p53–MDM2 interaction by small-molecule inhibitors: learning from MDM2 inhibitors in clinical trials Hit paper breakdown → | 2022 | 160 |
| 2 | 2014 | 154 | |
| 3 | 2015 | 129 | |
| 4 | 2016 | 92 | |
| 5 | 2017 | 86 | |
| 6 | 2018 | 86 | |
| 7 | 2018 | 59 | |
| 8 | 2012 | 57 | |
| 9 | 2023 | 55 | |
| 10 | 2015 | 50 | |
| 11 | 2014 | 48 | |
| 12 | 2019 | 41 | |
| 13 | 2011 | 40 | |
| 14 | 2016 | 40 | |
| 15 | 2014 | 38 | |
| 16 | 2014 | 32 | |
| 17 | 2006 | 27 | |
| 18 | 2019 | 27 | |
| 19 | 2016 | 25 | |
| 20 | 2013 | 25 |
About Kun Yao
Kun Yao is a scholar working on Genetics, Oncology, Epidemiology, Immunology and Cancer Research, having authored 102 papers that have together received 2.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (25 papers), Cytomegalovirus and herpesvirus research (15 papers), Viral-associated cancers and disorders (13 papers), Immune Cell Function and Interaction (7 papers), Herpesvirus Infections and Treatments (7 papers), Histone Deacetylase Inhibitors Research (5 papers), Immunotherapy and Immune Responses (5 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Genetics (550 citations), Cancer Research (264 citations), Oncology (444 citations), Immunology (237 citations) and Epidemiology (302 citations). Kun Yao has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Tao Jiang, Changxiang Yan, Shouwei Li, Yinyan Wang, Chenxing Wu, Xiaoxia Peng, Yongping You, Pengfei Wang, Pei Yang and Haohao Zhu. Their work appears in journals such as Oncotarget, Journal of Virology, Cellular and Molecular Immunology, Neuro-Oncology and Cancer Management and Research.
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.