Dan Ye
Impact in
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
Papers in
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- Cancer, Hypoxia, and Metabolism 11
- MicroRNA in disease regulation 5
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- Sirtuins and Resveratrol in Medicine 8
- 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 125
- Geriatrics and Gerontology 477
- Cancer Research 1.3k
- Genetics 401
- Biochemistry 287
- Immunology 729
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 | 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 | 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 Genetics, having authored 149 papers that have together received 7.3k indexed citations. Recurring topics across this work include Immune cells in cancer (12 papers), Cancer, Hypoxia, and Metabolism (11 papers), Glioma Diagnosis and Treatment (10 papers), Pluripotent Stem Cells Research (8 papers), Sirtuins and Resveratrol in Medicine (8 papers), Epigenetics and DNA Methylation (8 papers), MicroRNA in disease regulation (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Geriatrics and Gerontology (477 citations), Cancer Research (1.3k citations), Genetics (401 citations), Biochemistry (287 citations) and Immunology (729 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.