Gang‐Hui Lee
Impact in
-
- Zebrafish Biomedical Research Applications
- Microtubule and mitosis dynamics
Papers in
- Cell Biology 11
- Zebrafish Biomedical Research Applications 5
- Cellular Mechanics and Interactions 4
-
- Congenital heart defects research 3
- Epigenetics and DNA Methylation 2
- RNA Research and Splicing 2
- Co-authors
- Tzu‐Fun Fu (9 shared papers)Yau‐Hung Chen (4 shared papers)Bing‐Hung Chen (8 shared papers)Ming‐Jer Tang (8 shared papers)Hung‐Jen Wang (1 shared paper)Che‐Wei Lin (1 shared paper)Chih‐Kuang Wang (1 shared paper)Shun‐Cheng Wu (1 shared paper)
- Journals
- Cellular and Molecular Life Sciences (2 papers)Proceedings of the National Academy of Sciences (1 paper)Scientific Reports (1 paper)Neurobiology of Disease (1 paper)PLoS ONE (1 paper)
- Partner nations
- TaiwanUnited KingdomJapan
In The Last Decade
Gang‐Hui Lee
19 papers receiving 373 citations
Peers
Comparison fields: 5 of 88
- Cell Biology 103
- Aging 6
- Rheumatology 44
- Molecular Biology 191
- Developmental Neuroscience 9
Countries citing papers authored by Gang‐Hui Lee
This map shows the geographic impact of Gang‐Hui Lee'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 Gang‐Hui Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang‐Hui Lee more than expected).
Fields of papers citing papers by Gang‐Hui Lee
This network shows the impact of papers produced by Gang‐Hui Lee. 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 Gang‐Hui Lee. The network helps show where Gang‐Hui Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Gang‐Hui Lee, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 51 | |
| 2 | 2014 | 49 | |
| 3 | 2009 | 42 | |
| 4 | 2019 | 31 | |
| 5 | 2012 | 27 | |
| 6 | 2022 | 25 | |
| 7 | 2019 | 25 | |
| 8 | 2011 | 25 | |
| 9 | 2013 | 21 | |
| 10 | 2008 | 21 | |
| 11 | 2013 | 14 | |
| 12 | 2014 | 11 | |
| 13 | 2021 | 10 | |
| 14 | 2017 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2019 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2022 | 1 | |
| 20 | 2024 | 0 |
About Gang‐Hui Lee
Gang‐Hui Lee is a scholar working on Cell Biology, Molecular Biology, Rheumatology, Pediatrics, Perinatology and Child Health and Biomedical Engineering, having authored 22 papers that have together received 375 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (5 papers), Folate and B Vitamins Research (5 papers), Cellular Mechanics and Interactions (4 papers), Pregnancy and preeclampsia studies (3 papers), Congenital heart defects research (3 papers), Epigenetics and DNA Methylation (2 papers), RNA Research and Splicing (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Cell Biology (103 citations), Aging (6 citations), Rheumatology (44 citations), Molecular Biology (191 citations) and Developmental Neuroscience (9 citations). Gang‐Hui Lee has collaborated with scholars based in Taiwan, United Kingdom and Japan. Frequent co-authors include Tzu‐Fun Fu, Yau‐Hung Chen, Bing‐Hung Chen, Ming‐Jer Tang, Hung‐Jen Wang, Che‐Wei Lin, Chih‐Kuang Wang, Shun‐Cheng Wu, Chia-Hao Hsu and Nan‐Shan Chang. Their work appears in journals such as Cellular and Molecular Life Sciences, Proceedings of the National Academy of Sciences, Scientific Reports, Neurobiology of Disease 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.