Tzu-Wei Lin
Impact in
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Retinal Development and Disorders 4
-
- Analog and Mixed-Signal Circuit Design 2
- Co-authors
- Shih‐Hwa Chiou (4 shared papers)Mong‐Lien Wang (4 shared papers)Yu‐Ting Chou (1 shared paper)Chi‐Jen Chen (1 shared paper)Han-Sui Hsu (1 shared paper)Cheng‐Wen Wu (1 shared paper)Chun-Fu Hong (1 shared paper)Wang-Ju Hsieh (1 shared paper)
- Journals
- International Journal of Molecular Sciences (6 papers)Cancer Research (2 papers)Solid-State Electronics (1 paper)Materials Science and Engineering A (1 paper)PLoS ONE (1 paper)
- Partner nations
- TaiwanUnited StatesCanada
In The Last Decade
Tzu-Wei Lin
28 papers receiving 943 citations
Peers
Comparison fields: 5 of 129
- Oncology 296
- Cancer Research 161
- Molecular Biology 397
- Reproductive Medicine 38
- Biological Psychiatry 10
Countries citing papers authored by Tzu-Wei Lin
This map shows the geographic impact of Tzu-Wei 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 Tzu-Wei Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tzu-Wei Lin more than expected).
Fields of papers citing papers by Tzu-Wei Lin
This network shows the impact of papers produced by Tzu-Wei 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 Tzu-Wei Lin. The network helps show where Tzu-Wei Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Tzu-Wei 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
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 499 | |
| 2 | 2014 | 97 | |
| 3 | 2018 | 78 | |
| 4 | 2021 | 36 | |
| 5 | 2022 | 34 | |
| 6 | 2006 | 28 | |
| 7 | 2021 | 26 | |
| 8 | 2017 | 22 | |
| 9 | 2020 | 19 | |
| 10 | 2019 | 14 | |
| 11 | 2005 | 14 | |
| 12 | 2019 | 13 | |
| 13 | 2021 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2019 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2008 | 8 | |
| 19 | 2024 | 6 | |
| 20 | 2021 | 5 |
About Tzu-Wei Lin
Tzu-Wei Lin is a scholar working on Molecular Biology, Biomedical Engineering, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 963 indexed citations. Recurring topics across this work include Retinal Development and Disorders (4 papers), Neuroscience and Neural Engineering (3 papers), Ferroptosis and cancer prognosis (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Reproductive System and Pregnancy (2 papers), Analog and Mixed-Signal Circuit Design (2 papers), Retinal Diseases and Treatments (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Oncology (296 citations), Cancer Research (161 citations), Molecular Biology (397 citations), Reproductive Medicine (38 citations) and Biological Psychiatry (10 citations). Tzu-Wei Lin has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Shih‐Hwa Chiou, Mong‐Lien Wang, Yu‐Ting Chou, Chi‐Jen Chen, Han-Sui Hsu, Cheng‐Wen Wu, Chun-Fu Hong, Wang-Ju Hsieh, Yingshan Chen and Sheng‐Feng Tsai. Their work appears in journals such as International Journal of Molecular Sciences, Cancer Research, Solid-State Electronics, Materials Science and Engineering A and PLoS ONE.
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.