Yu Ren
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Breast Cancer Treatment Studies
- Oncology top 10%
Papers in
-
- Circular RNAs in diseases 7
- RNA modifications and cancer 7
-
- Breast Cancer Treatment Studies 14
- Cancer-related molecular mechanisms research 9
- Cancer, Lipids, and Metabolism 7
- Co-authors
- Jianjun He (26 shared papers)Peijun Liu (15 shared papers)Xubo Yuan (4 shared papers)Ke Wang (7 shared papers)Can Zhou (15 shared papers)Xuan Zhou (4 shared papers)Juan Li (11 shared papers)Yang Liu (7 shared papers)
- Journals
- PLoS ONE (6 papers)International Journal of Biological Sciences (4 papers)Frontiers in Oncology (4 papers)Scientific Reports (2 papers)Cancer Letters (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yu Ren
109 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 128
- Cancer Research 656
- Oncology 420
- Molecular Biology 992
- Pulmonary and Respiratory Medicine 337
- Pathology and Forensic Medicine 151
Countries citing papers authored by Yu Ren
This map shows the geographic impact of Yu Ren'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 Yu Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Ren more than expected).
Fields of papers citing papers by Yu Ren
This network shows the impact of papers produced by Yu Ren. 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 Yu Ren. The network helps show where Yu Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Ren, 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 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 143 | |
| 2 | 2015 | 107 | |
| 3 | 2018 | 84 | |
| 4 | Increased epidermal growth factor receptor expression in metaplastic bronchial epithelium. | 1996 | 82 |
| 5 | 2016 | 80 | |
| 6 | 2015 | 73 | |
| 7 | 2022 | 50 | |
| 8 | 2017 | 44 | |
| 9 | 2013 | 42 | |
| 10 | 2015 | 42 | |
| 11 | 2017 | 41 | |
| 12 | 2016 | 40 | |
| 13 | 2018 | 38 | |
| 14 | 2015 | 37 | |
| 15 | 2015 | 37 | |
| 16 | 2019 | 36 | |
| 17 | 2017 | 36 | |
| 18 | 2015 | 34 | |
| 19 | 2012 | 33 | |
| 20 | 2014 | 33 |
About Yu Ren
Yu Ren is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 123 papers that have together received 2.0k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (14 papers), Ferroptosis and cancer prognosis (12 papers), Breast Lesions and Carcinomas (10 papers), Cancer-related molecular mechanisms research (9 papers), Cancer, Lipids, and Metabolism (7 papers), Circular RNAs in diseases (7 papers), RNA modifications and cancer (7 papers) and Hippo pathway signaling and YAP/TAZ (7 papers). The work is most often cited by research in Cancer Research (656 citations), Oncology (420 citations), Molecular Biology (992 citations), Pulmonary and Respiratory Medicine (337 citations) and Pathology and Forensic Medicine (151 citations). Yu Ren has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianjun He, Peijun Liu, Xubo Yuan, Ke Wang, Can Zhou, Xuan Zhou, Juan Li, Yang Liu, Yuhui Zhou and Ke Wang. Their work appears in journals such as PLoS ONE, International Journal of Biological Sciences, Frontiers in Oncology, Scientific Reports 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.