Dan Lin
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
- Molecular Biology top 10%
- Extracellular vesicles in disease
- RNA modifications and cancer
- Circular RNAs in diseases
Papers in
-
- RNA modifications and cancer 3
- Circular RNAs in diseases 3
- Ubiquitin and proteasome pathways 3
- Kruppel-like factors research 2
- Wnt/β-catenin signaling in development and cancer 2
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- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 3
- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Shaohua Ge (3 shared papers)Haiyang Zhang (3 shared papers)Guoguang Ying (3 shared papers)Rui Liu (2 shared papers)Ming Bai (2 shared papers)Ting Deng (2 shared papers)Tao Ning (2 shared papers)Yuchong Yang (2 shared papers)
In The Last Decade
Dan Lin
14 papers receiving 1.3k citations
Dan Lin's Hit Papers
Peers
Comparison fields: 5 of 67
- Cancer Research 717
- Molecular Biology 993
- Pulmonary and Respiratory Medicine 405
- Cell Biology 161
- Oncology 263
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 | 776 |
| 2 | 2014 | 142 | |
| 3 | 2013 | 93 | |
| 4 | 2021 | 86 | |
| 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 | 18 | |
| 9 | 2017 | 17 | |
| 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), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (3 papers), Ubiquitin and proteasome pathways (3 papers), Kruppel-like factors research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Cancer Research (717 citations), Molecular Biology (993 citations), Pulmonary and Respiratory Medicine (405 citations), Cell Biology (161 citations) and Oncology (263 citations). Dan Lin has collaborated with scholars based in China, Canada and Italy. Frequent co-authors include Shaohua Ge, Haiyang Zhang, Guoguang Ying, Rui Liu, Ming Bai, Ting Deng, Tao Ning, Yuchong Yang, Dongying Liu and Yi Ba. Their work appears in journals such as Frontiers in Oncology, Cancer Management and Research, Investigational New Drugs, Molecular Oncology and Cell Death and Disease.
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.