Daniel Y. Li
Impact in
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- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
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- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
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- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 2
- Cancer Genomics and Diagnostics 2
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- RNA modifications and cancer 2
- Circular RNAs in diseases 2
- Single-cell and spatial transcriptomics 1
- Kruppel-like factors research 1
- Co-authors
- W.H. Wilson Tang (1 shared paper)Muredach P. Reilly (2 shared papers)Jianwen Zhou (1 shared paper)Qiong He (1 shared paper)Yonghui Huang (1 shared paper)Hui Zhang (1 shared paper)Wei Wang (1 shared paper)Zunfu Ke (1 shared paper)
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (2 papers)Scientific Reports (1 paper)Trends in Cell Biology (1 paper)Atherosclerosis (1 paper)Vascular Pharmacology (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Daniel Y. Li
12 papers receiving 315 citations
Peers
Comparison fields: 5 of 58
- Cancer Research 116
- Immunology 124
- Oncology 90
- Gastroenterology 11
- Molecular Biology 127
Countries citing papers authored by Daniel Y. Li
This map shows the geographic impact of Daniel Y. Li'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 Daniel Y. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Y. Li more than expected).
Fields of papers citing papers by Daniel Y. Li
This network shows the impact of papers produced by Daniel Y. Li. 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 Daniel Y. Li. The network helps show where Daniel Y. Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Y. Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 169 | |
| 2 | 2018 | 41 | |
| 3 | 2018 | 28 | |
| 4 | 2018 | 25 | |
| 5 | 2015 | 23 | |
| 6 | 2021 | 12 | |
| 7 | 2022 | 8 | |
| 8 | 2018 | 8 | |
| 9 | 2022 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2018 | 1 | |
| 12 | 2020 | 1 |
About Daniel Y. Li
Daniel Y. Li is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Immunology, having authored 12 papers that have together received 319 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (2 papers), Cancer Genomics and Diagnostics (2 papers), Lung Cancer Treatments and Mutations (2 papers), RNA modifications and cancer (2 papers), Circular RNAs in diseases (2 papers), Single-cell and spatial transcriptomics (1 paper) and Kruppel-like factors research (1 paper). The work is most often cited by research in Cancer Research (116 citations), Immunology (124 citations), Oncology (90 citations), Gastroenterology (11 citations) and Molecular Biology (127 citations). Daniel Y. Li has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include W.H. Wilson Tang, Muredach P. Reilly, Jianwen Zhou, Qiong He, Yonghui Huang, Hui Zhang, Wei Wang, Zunfu Ke, Xuan Zhang and Yingzhao Wang. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Scientific Reports, Trends in Cell Biology, Atherosclerosis and Vascular Pharmacology.
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.