Hsin-Yi Lan
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Cancer Cells and Metastasis
Papers in
- Oncology 7
- Cancer Cells and Metastasis 7
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- Cancer-related gene regulation 2
- Epigenetics and DNA Methylation 1
- TGF-β signaling in diseases 1
- Chromatin Remodeling and Cancer 1
- Co-authors
- Muh‐Hwa Yang (9 shared papers)Shyh‐Kuan Tai (7 shared papers)Cheng‐Hwai Tzeng (3 shared papers)Chi-Hung Huang (3 shared papers)Kou-Juey Wu (3 shared papers)Wenhao Yang (4 shared papers)Dennis Shin‐Shian Hsu (4 shared papers)Shou‐Yen Kao (2 shared papers)
- Journals
- Nature Cell Biology (3 papers)Biochemical and Biophysical Research Communications (2 papers)Clinical Cancer Research (2 papers)Journal of Hematology & Oncology (1 paper)Cancers (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Hsin-Yi Lan
10 papers receiving 1.3k citations
Hsin-Yi Lan's Hit Papers
Peers
Comparison fields: 5 of 74
- Cancer Research 396
- Oncology 613
- Molecular Biology 819
- Cell Biology 117
- Immunology 109
Countries citing papers authored by Hsin-Yi Lan
This map shows the geographic impact of Hsin-Yi Lan'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 Hsin-Yi Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin-Yi Lan more than expected).
Fields of papers citing papers by Hsin-Yi Lan
This network shows the impact of papers produced by Hsin-Yi Lan. 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 Hsin-Yi Lan. The network helps show where Hsin-Yi Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsin-Yi Lan, 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 | Bmi1 is essential in Twist1-induced epithelial–mesenchymal transition Hit paper breakdown → | 2010 | 559 |
| 2 | 2012 | 207 | |
| 3 | 2019 | 156 | |
| 4 | 2010 | 135 | |
| 5 | 2019 | 117 | |
| 6 | 2016 | 40 | |
| 7 | 2017 | 25 | |
| 8 | 2013 | 20 | |
| 9 | 2019 | 17 | |
| 10 | 2021 | 9 | |
| 11 | 2025 | 0 |
About Hsin-Yi Lan
Hsin-Yi Lan is a scholar working on Oncology, Molecular Biology, Cell Biology, Immunology and Pathology and Forensic Medicine, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (7 papers), Microtubule and mitosis dynamics (2 papers), Cancer-related gene regulation (2 papers), Cellular Mechanics and Interactions (2 papers), Cancer Mechanisms and Therapy (1 paper), Epigenetics and DNA Methylation (1 paper), TGF-β signaling in diseases (1 paper) and Chromatin Remodeling and Cancer (1 paper). The work is most often cited by research in Cancer Research (396 citations), Oncology (613 citations), Molecular Biology (819 citations), Cell Biology (117 citations) and Immunology (109 citations). Hsin-Yi Lan has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Muh‐Hwa Yang, Shyh‐Kuan Tai, Cheng‐Hwai Tzeng, Chi-Hung Huang, Kou-Juey Wu, Wenhao Yang, Dennis Shin‐Shian Hsu, Shou‐Yen Kao, Shyue‐Yih Chang and Hsei-Wei Wang. Their work appears in journals such as Nature Cell Biology, Biochemical and Biophysical Research Communications, Clinical Cancer Research, Journal of Hematology & Oncology and Cancers.
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.