Dan Lin
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
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- Ferroptosis and cancer prognosis
Papers in
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- Ubiquitin and proteasome pathways 3
- Circular RNAs in diseases 3
- Kruppel-like factors research 2
- Cancer-related gene regulation 2
- Wnt/β-catenin signaling in development and cancer 2
- RNA modifications and cancer 2
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- MicroRNA in disease regulation 5
- Co-authors
- Ming Bai (2 shared papers)Ting Deng (2 shared papers)Yuchong Yang (2 shared papers)Tao Ning (2 shared papers)Haiyang Zhang (3 shared papers)Shaohua Ge (3 shared papers)Rui Liu (2 shared papers)Guoguang Ying (3 shared papers)
- Journals
- Frontiers in Oncology (2 papers)Molecular Oncology (1 paper)Chromatographia (1 paper)Molecular Cancer (1 paper)Oncogene (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Dan Lin
14 papers receiving 1.3k citations
Dan Lin's Hit Papers
Peers
Comparison fields: 5 of 65
- Cancer Research 620
- Pulmonary and Respiratory Medicine 404
- Molecular Biology 894
- Cell Biology 157
- Oncology 231
Countries citing papers authored by Dan Lin
This map shows the geographic impact of Dan Lin'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 Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Lin more than expected).
Fields of papers citing papers by Dan Lin
This network shows the impact of papers produced by Dan Lin. 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 Lin. The network helps show where Dan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Lin, 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 | CAF secreted miR-522 suppresses ferroptosis and promotes acquired chemo-resistance in gastric cancer Hit paper breakdown → | 2020 | 810 |
| 2 | 2014 | 149 | |
| 3 | 2013 | 94 | |
| 4 | 2021 | 92 | |
| 5 | 2021 | 50 | |
| 6 | ZEB1 promotes invasion and metastasis of endometrial cancer by interacting with HDGF and inducing its transcription. | 2019 | 29 |
| 7 | 2019 | 27 | |
| 8 | 2020 | 21 | |
| 9 | 2017 | 19 | |
| 10 | 2018 | 15 | |
| 11 | 2020 | 10 | |
| 12 | 2019 | 5 | |
| 13 | 2010 | 3 | |
| 14 | 2018 | 1 |
About Dan Lin
Dan Lin is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Ubiquitin and proteasome pathways (3 papers), Circular RNAs in diseases (3 papers), Microtubule and mitosis dynamics (2 papers), Kruppel-like factors research (2 papers), Cancer-related gene regulation (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (620 citations), Pulmonary and Respiratory Medicine (404 citations), Molecular Biology (894 citations), Cell Biology (157 citations) and Oncology (231 citations). Dan Lin has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Ming Bai, Ting Deng, Yuchong Yang, Tao Ning, Haiyang Zhang, Shaohua Ge, Rui Liu, Guoguang Ying, Yi Ba and Dongying Liu. Their work appears in journals such as Frontiers in Oncology, Molecular Oncology, Chromatographia, Molecular Cancer and Oncogene.
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.