Dake Li
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Cancer-related molecular mechanisms research 4
- Cancer, Lipids, and Metabolism 3
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- DNA Repair Mechanisms 4
- Retinal Development and Disorders 3
- RNA modifications and cancer 3
- Co-authors
- Wen Wang (1 shared paper)Jian Cao (7 shared papers)FengTao Liu (5 shared papers)Gaofeng Fan (5 shared papers)Jian Wang (3 shared papers)Yujie Yang (4 shared papers)Songqin Liu (1 shared paper)Yixuan Wang (3 shared papers)
- Journals
- Brain and Behavior (2 papers)Journal of Biological Chemistry (2 papers)eLife (1 paper)European Journal of Obstetrics & Gynecology and Reproductive Biology (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dake Li
39 papers receiving 732 citations
Peers
Comparison fields: 5 of 89
- Cancer Research 115
- Neurology 85
- Geriatrics and Gerontology 17
- Molecular Biology 311
- Oncology 112
Countries citing papers authored by Dake Li
This map shows the geographic impact of Dake 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 Dake Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dake Li more than expected).
Fields of papers citing papers by Dake Li
This network shows the impact of papers produced by Dake 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 Dake Li. The network helps show where Dake Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Dake 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
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 86 | |
| 2 | 2019 | 74 | |
| 3 | 2020 | 64 | |
| 4 | 2011 | 48 | |
| 5 | 2018 | 43 | |
| 6 | 2017 | 40 | |
| 7 | 2021 | 35 | |
| 8 | 2016 | 34 | |
| 9 | 2017 | 33 | |
| 10 | 2024 | 31 | |
| 11 | 2014 | 26 | |
| 12 | 2020 | 25 | |
| 13 | 2025 | 19 | |
| 14 | 2022 | 18 | |
| 15 | 2019 | 15 | |
| 16 | 2017 | 14 | |
| 17 | 2023 | 14 | |
| 18 | 2017 | 12 | |
| 19 | 2016 | 11 | |
| 20 | 2017 | 10 |
About Dake Li
Dake Li is a scholar working on Cancer Research, Molecular Biology, Oncology, Obstetrics and Gynecology and Neurology, having authored 49 papers that have together received 741 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Cancer-related molecular mechanisms research (4 papers), Ovarian cancer diagnosis and treatment (3 papers), Retinal Development and Disorders (3 papers), Endometrial and Cervical Cancer Treatments (3 papers), RNA modifications and cancer (3 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Cancer Research (115 citations), Neurology (85 citations), Geriatrics and Gerontology (17 citations), Molecular Biology (311 citations) and Oncology (112 citations). Dake Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Wen Wang, Jian Cao, FengTao Liu, Gaofeng Fan, Jian Wang, Yujie Yang, Songqin Liu, Yixuan Wang, Dezhi Tang and Wei Wei. Their work appears in journals such as Brain and Behavior, Journal of Biological Chemistry, eLife, European Journal of Obstetrics & Gynecology and Reproductive Biology and Frontiers in Cell and Developmental 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.