Dan Ye
Impact in
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
Papers in
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- Epigenetics and DNA Methylation 9
- RNA modifications and cancer 8
- RNA Research and Splicing 7
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- Cancer, Hypoxia, and Metabolism 11
- Co-authors
- Kun‐Liang Guan (29 shared papers)Yue Xiong (19 shared papers)Hui Yang (6 shared papers)Lisha Zhou (5 shared papers)Guohua Lou (5 shared papers)Yanning Liu (4 shared papers)Shimin Zhao (5 shared papers)Pu Wang (11 shared papers)
- Journals
- Cancer Research (4 papers)Cell Reports (4 papers)Investigative Ophthalmology & Visual Science (3 papers)Cell Research (2 papers)Stem Cells (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dan Ye
138 papers receiving 5.2k citations
Dan Ye's Hit Papers
Peers
Comparison fields: 5 of 161
- Geriatrics and Gerontology 435
- Cancer Research 1.3k
- Biochemistry 352
- Molecular Biology 2.8k
- Immunology 744
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 148 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 333 | |
| 2 | 2017 | 261 | |
| 3 | 2015 | 224 | |
| 4 | 2016 | 215 | |
| 5 | CD36+ cancer-associated fibroblasts provide immunosuppressive microenvironment for hepatocellular carcinoma via secretion of macrophage migration inhibitory factor Hit paper breakdown → | 2023 | 209 |
| 6 | 2016 | 208 | |
| 7 | 2020 | 179 | |
| 8 | 2018 | 179 | |
| 9 | 2018 | 166 | |
| 10 | 2015 | 158 | |
| 11 | 2015 | 155 | |
| 12 | 2002 | 130 | |
| 13 | 2012 | 105 | |
| 14 | 2016 | 100 | |
| 15 | 2016 | 95 | |
| 16 | 2018 | 89 | |
| 17 | 2020 | 87 | |
| 18 | 2022 | 85 | |
| 19 | 2010 | 84 | |
| 20 | 2023 | 81 |
About Dan Ye
Dan Ye is a scholar working on Molecular Biology, Cancer Research, Surgery, Immunology and Epidemiology, having authored 148 papers that have together received 5.2k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (11 papers), Immune cells in cancer (10 papers), Epigenetics and DNA Methylation (9 papers), RNA modifications and cancer (8 papers), Sirtuins and Resveratrol in Medicine (8 papers), RNA Research and Splicing (7 papers), Phagocytosis and Immune Regulation (7 papers) and Autophagy in Disease and Therapy (6 papers). The work is most often cited by research in Geriatrics and Gerontology (435 citations), Cancer Research (1.3k citations), Biochemistry (352 citations), Molecular Biology (2.8k citations) and Immunology (744 citations). Dan Ye has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Kun‐Liang Guan, Yue Xiong, Hui Yang, Lisha Zhou, Guohua Lou, Yanning Liu, Shimin Zhao, Pu Wang, Leilei Chen and Huaipeng Lin. Their work appears in journals such as Cancer Research, Cell Reports, Investigative Ophthalmology & Visual Science, Cell Research and Stem Cells.
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.