Dan Ye
Impact in
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
Papers in
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- Cancer, Hypoxia, and Metabolism 6
- MicroRNA in disease regulation 4
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- Sirtuins and Resveratrol in Medicine 6
- Co-authors
- Yue Xiong (23 shared papers)Kun‐Liang Guan (21 shared papers)Hui Yang (6 shared papers)Lisha Zhou (5 shared papers)Guohua Lou (5 shared papers)Yanning Liu (4 shared papers)Pu Wang (8 shared papers)Shenghong Ma (4 shared papers)
- Journals
- Cell Reports (7 papers)Cell Metabolism (3 papers)Science Advances (3 papers)Investigative Ophthalmology & Visual Science (3 papers)Nature Communications (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dan Ye
142 papers receiving 7.2k citations
Dan Ye's Hit Papers
Peers
Comparison fields: 5 of 100
- Geriatrics and Gerontology 355
- Cancer Research 696
- Biochemistry 139
- Genetics 250
- Immunology 403
Countries citing papers authored by Dan Ye
This map shows the geographic impact of Dan Ye'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 Dan Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Ye more than expected).
Fields of papers citing papers by Dan Ye
This network shows the impact of papers produced by Dan Ye. 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 Dan Ye. The network helps show where Dan Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Ye, 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 149 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | IDH1andIDH2Mutations in Tumorigenesis: Mechanistic Insights and Clinical Perspectives Hit paper breakdown → | 2012 | 373 |
| 2 | 2017 | 291 | |
| 3 | CD36+ cancer-associated fibroblasts provide immunosuppressive microenvironment for hepatocellular carcinoma via secretion of macrophage migration inhibitory factor Hit paper breakdown → | 2023 | 275 |
| 4 | 2020 | 259 | |
| 5 | 2015 | 246 | |
| 6 | 2016 | 246 | |
| 7 | 2018 | 244 | |
| 8 | 2016 | 234 | |
| 9 | 2020 | 223 | |
| 10 | 2018 | 198 | |
| 11 | 2018 | 186 | |
| 12 | 2015 | 180 | |
| 13 | 2015 | 178 | |
| 14 | Itaconate inhibits TET DNA dioxygenases to dampen inflammatory responses Hit paper breakdown → | 2022 | 178 |
| 15 | 2022 | 135 | |
| 16 | 2002 | 134 | |
| 17 | 2023 | 119 | |
| 18 | 2021 | 115 | |
| 19 | 2016 | 113 | |
| 20 | 2016 | 111 |
About Dan Ye
Dan Ye is a scholar working on Cancer Research, Geriatrics and Gerontology, Immunology, Molecular Biology and Biochemistry, having authored 149 papers that have together received 7.3k indexed citations. Recurring topics across this work include Immune cells in cancer (8 papers), Cancer, Hypoxia, and Metabolism (6 papers), Pluripotent Stem Cells Research (6 papers), Epigenetics and DNA Methylation (6 papers), Sirtuins and Resveratrol in Medicine (6 papers), MicroRNA in disease regulation (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Glioma Diagnosis and Treatment (3 papers). The work is most often cited by research in Geriatrics and Gerontology (355 citations), Cancer Research (696 citations), Biochemistry (139 citations), Genetics (250 citations) and Immunology (403 citations). Dan Ye has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yue Xiong, Kun‐Liang Guan, Hui Yang, Lisha Zhou, Guohua Lou, Yanning Liu, Pu Wang, Shenghong Ma, Shimin Zhao and Leilei Chen. Their work appears in journals such as Cell Reports, Cell Metabolism, Science Advances, Investigative Ophthalmology & Visual Science and Nature Communications.
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.