Jun Yao
Impact in
- Cancer Research top 0.5%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Oncology top 0.5%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
Papers in
-
- Epigenetics and DNA Methylation 11
- RNA Research and Splicing 7
- Ubiquitin and proteasome pathways 6
- RNA modifications and cancer 6
- Oncology 24
- Cancer Cells and Metastasis 9
- Co-authors
- Mien‐Chie Hung (17 shared papers)Dihua Yu (14 shared papers)Kornélia Polyák (16 shared papers)Binhua P. Zhou (3 shared papers)Chenfang Dong (3 shared papers)Yadi Wu (2 shared papers)Ming Tan (5 shared papers)Yifan Wang (2 shared papers)
- Journals
- Cancer Research (15 papers)Cancer Cell (5 papers)Oncogene (4 papers)Nature Communications (3 papers)Cell Reports (3 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Jun Yao
100 papers receiving 7.6k citations
Jun Yao's Hit Papers
Peers
Comparison fields: 5 of 120
- Cancer Research 2.0k
- Oncology 2.3k
- Molecular Biology 4.5k
- Cell Biology 1.0k
- Immunology 902
Countries citing papers authored by Jun Yao
This map shows the geographic impact of Jun 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 Jun Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yao more than expected).
Fields of papers citing papers by Jun Yao
This network shows the impact of papers produced by Jun 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 Jun Yao. The network helps show where Jun Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Loss of FBP1 by Snail-Mediated Repression Provides Metabolic Advantages in Basal-like Breast Cancer Hit paper breakdown → | 2013 | 655 |
| 2 | 2009 | 465 | |
| 3 | Galectin-9 interacts with PD-1 and TIM-3 to regulate T cell death and is a target for cancer immunotherapy Hit paper breakdown → | 2021 | 430 |
| 4 | 2005 | 400 | |
| 5 | 2014 | 388 | |
| 6 | 2008 | 384 | |
| 7 | 2012 | 378 | |
| 8 | 1998 | 299 | |
| 9 | TYRO3 induces anti–PD-1/PD-L1 therapy resistance by limiting innate immunity and tumoral ferroptosis Hit paper breakdown → | 2021 | 270 |
| 10 | 2017 | 251 | |
| 11 | 2011 | 170 | |
| 12 | 2021 | 169 | |
| 13 | 2015 | 165 | |
| 14 | 2009 | 158 | |
| 15 | 2015 | 145 | |
| 16 | 2020 | 139 | |
| 17 | 2013 | 137 | |
| 18 | 2006 | 133 | |
| 19 | 2013 | 129 | |
| 20 | 2016 | 126 |
About Jun Yao
Jun Yao is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Cell Biology, having authored 107 papers that have together received 7.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (11 papers), Cancer Cells and Metastasis (9 papers), Cancer, Hypoxia, and Metabolism (9 papers), RNA Research and Splicing (7 papers), Immunotherapy and Immune Responses (7 papers), Ubiquitin and proteasome pathways (6 papers), RNA modifications and cancer (6 papers) and Autophagy in Disease and Therapy (5 papers). The work is most often cited by research in Cancer Research (2.0k citations), Oncology (2.3k citations), Molecular Biology (4.5k citations), Cell Biology (1.0k citations) and Immunology (902 citations). Jun Yao has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Mien‐Chie Hung, Dihua Yu, Kornélia Polyák, Binhua P. Zhou, Chenfang Dong, Yadi Wu, Ming Tan, Yifan Wang, Kun‐Liang Guan and Yue Xiong. Their work appears in journals such as Cancer Research, Cancer Cell, Oncogene, Nature Communications and Cell Reports.
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.