Ye Yan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Physiology top 10%
Papers in
-
- Renal cell carcinoma treatment 10
- Prostate Cancer Diagnosis and Treatment 8
- Co-authors
- Toren Finkel (4 shared papers)Zhi‐Ling Yu (5 shared papers)Mei Ma (4 shared papers)Weiwei Jiang (4 shared papers)Gui‐Xin Chou (4 shared papers)Jian‐Hong Chu (3 shared papers)Jie Liu (2 shared papers)Zu-Xi Yu (2 shared papers)
- Journals
- Cancer Biology & Therapy (2 papers)Biological Trace Element Research (2 papers)Autophagy (2 papers)Cancer Management and Research (2 papers)Journal of Cancer (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ye Yan
95 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 119
- Cancer Research 248
- Physiology 44
- Endocrine and Autonomic Systems 60
- Geriatrics and Gerontology 30
- Complementary and alternative medicine 72
Countries citing papers authored by Ye Yan
This map shows the geographic impact of Ye Yan'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 Ye Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Yan more than expected).
Fields of papers citing papers by Ye Yan
This network shows the impact of papers produced by Ye Yan. 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 Ye Yan. The network helps show where Ye Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye Yan, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 203 | |
| 2 | 2015 | 87 | |
| 3 | 2012 | 80 | |
| 4 | 2014 | 66 | |
| 5 | 2016 | 63 | |
| 6 | 2016 | 61 | |
| 7 | 2010 | 61 | |
| 8 | 2012 | 55 | |
| 9 | 2010 | 55 | |
| 10 | 2019 | 49 | |
| 11 | 2010 | 45 | |
| 12 | 2019 | 44 | |
| 13 | 2014 | 40 | |
| 14 | 2014 | 39 | |
| 15 | 2014 | 39 | |
| 16 | 2019 | 36 | |
| 17 | 2011 | 36 | |
| 18 | 2015 | 35 | |
| 19 | 2013 | 34 | |
| 20 | 2004 | 31 |
About Ye Yan
Ye Yan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology, Oncology and Surgery, having authored 105 papers that have together received 1.8k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (10 papers), Prostate Cancer Diagnosis and Treatment (8 papers), Thyroid Disorders and Treatments (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Autophagy in Disease and Therapy (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Neonatal Health and Biochemistry (4 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Cancer Research (248 citations), Physiology (44 citations), Endocrine and Autonomic Systems (60 citations), Geriatrics and Gerontology (30 citations) and Complementary and alternative medicine (72 citations). Ye Yan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Toren Finkel, Zhi‐Ling Yu, Mei Ma, Weiwei Jiang, Gui‐Xin Chou, Jian‐Hong Chu, Jie Liu, Zu-Xi Yu, Ilsa I. Rovira and Hiroyuki Kawagishi. Their work appears in journals such as Cancer Biology & Therapy, Biological Trace Element Research, Autophagy, Cancer Management and Research and Journal of Cancer.
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.