Yang Yu
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Nephrology top 5%
- Dialysis and Renal Disease Management
Papers in
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- Ubiquitin and proteasome pathways 7
- RNA modifications and cancer 6
-
- Breast Cancer Treatment Studies 11
- Cancer, Hypoxia, and Metabolism 6
- NF-κB Signaling Pathways 6
- MicroRNA in disease regulation 5
- Co-authors
- P. Devynck (1 shared paper)G. Counsell (1 shared paper)G. Antar (1 shared paper)B. LaBombard (1 shared paper)Jianhua Yang (7 shared papers)Xiangyun Zong (15 shared papers)Ping‐Fang Chiu (7 shared papers)Xiaoli Ye (5 shared papers)
- Journals
- Oncotarget (7 papers)Journal of Clinical Oncology (6 papers)Nature Communications (3 papers)Cancer Management and Research (3 papers)Cancer Letters (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yang Yu
153 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 138
- Cancer Research 619
- Nephrology 179
- Molecular Biology 1.5k
- Immunology 377
- Oncology 444
Countries citing papers authored by Yang Yu
This map shows the geographic impact of Yang 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 Yang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Yu more than expected).
Fields of papers citing papers by Yang Yu
This network shows the impact of papers produced by Yang 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 Yang Yu. The network helps show where Yang Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Yu, 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 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 187 | |
| 2 | 2019 | 147 | |
| 3 | 2011 | 141 | |
| 4 | 2023 | 113 | |
| 5 | 2012 | 110 | |
| 6 | 2019 | 94 | |
| 7 | 2021 | 93 | |
| 8 | 2016 | 87 | |
| 9 | 2009 | 86 | |
| 10 | 2017 | 85 | |
| 11 | 2016 | 78 | |
| 12 | 2016 | 69 | |
| 13 | 2017 | 66 | |
| 14 | 2015 | 62 | |
| 15 | 2021 | 58 | |
| 16 | 2008 | 58 | |
| 17 | 2013 | 53 | |
| 18 | 2022 | 52 | |
| 19 | 2016 | 52 | |
| 20 | 2018 | 49 |
About Yang Yu
Yang Yu is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Pulmonary and Respiratory Medicine, having authored 161 papers that have together received 3.3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (11 papers), Ubiquitin and proteasome pathways (7 papers), RNA modifications and cancer (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), NF-κB Signaling Pathways (6 papers), Dialysis and Renal Disease Management (5 papers), MicroRNA in disease regulation (5 papers) and Estrogen and related hormone effects (5 papers). The work is most often cited by research in Cancer Research (619 citations), Nephrology (179 citations), Molecular Biology (1.5k citations), Immunology (377 citations) and Oncology (444 citations). Yang Yu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include P. Devynck, G. Counsell, G. Antar, B. LaBombard, Jianhua Yang, Xiangyun Zong, Ping‐Fang Chiu, Xiaoli Ye, Zhaoxing Li and Chia‐Chu Chang. Their work appears in journals such as Oncotarget, Journal of Clinical Oncology, Nature Communications, Cancer Management and Research and Cancer Letters.
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.