Daniel Y. Li
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Atherosclerosis and Cardiovascular Diseases
- Immune Cell Function and Interaction
Papers in
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- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 2
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- Circular RNAs in diseases 4
- Single-cell and spatial transcriptomics 3
- RNA modifications and cancer 2
- RNA Research and Splicing 2
- Co-authors
- Wai Hong Wilson Tang (1 shared paper)Qiong He (1 shared paper)Wei Wang (1 shared paper)Run Lin (1 shared paper)Shirong Cai (1 shared paper)Yujie Yuan (1 shared paper)Jianwen Zhou (1 shared paper)Muredach P. Reilly (2 shared papers)
- Journals
- Circulation (3 papers)Seminars in Nephrology (1 paper)Vascular Pharmacology (1 paper)Nature (1 paper)Trends in Cell Biology (1 paper)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Daniel Y. Li
16 papers receiving 969 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 424
- Immunology 233
- Molecular Biology 451
- Oncology 96
- Pulmonary and Respiratory Medicine 114
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 | 191 | |
| 2 | 2018 | 183 | |
| 3 | 2019 | 178 | |
| 4 | 2018 | 77 | |
| 5 | 2021 | 75 | |
| 6 | 2019 | 60 | |
| 7 | 2024 | 46 | |
| 8 | 2018 | 42 | |
| 9 | 2018 | 29 | |
| 10 | 2018 | 26 | |
| 11 | 2015 | 25 | |
| 12 | 2021 | 15 | |
| 13 | 2022 | 13 | |
| 14 | 2018 | 8 | |
| 15 | 2022 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2026 | 0 |
About Daniel Y. Li
Daniel Y. Li is a scholar working on Cancer Research, Molecular Biology, Immunology, Oncology and Genetics, having authored 17 papers that have together received 972 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), Circular RNAs in diseases (4 papers), Single-cell and spatial transcriptomics (3 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), MicroRNA in disease regulation (2 papers), Blood disorders and treatments (1 paper) and Cannabis and Cannabinoid Research (1 paper). The work is most often cited by research in Cancer Research (424 citations), Immunology (233 citations), Molecular Biology (451 citations), Oncology (96 citations) and Pulmonary and Respiratory Medicine (114 citations). Daniel Y. Li has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Wai Hong Wilson Tang, Qiong He, Wei Wang, Run Lin, Shirong Cai, Yujie Yuan, Jianwen Zhou, Muredach P. Reilly, Yingzhao Wang and Weiling He. Their work appears in journals such as Circulation, Seminars in Nephrology, Vascular Pharmacology, Nature and Trends in Cell Biology.
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.