Liang‐Yi Hung
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Oncology top 10%
- Cancer-related Molecular Pathways
- Viral-associated cancers and disorders
Papers in
-
- Ubiquitin and proteasome pathways 8
- Genomics and Chromatin Dynamics 4
- Cell Biology 18
- Microtubule and mitosis dynamics 18
- Co-authors
- Tang K. Tang (4 shared papers)Chieh-Ju C. Tang (2 shared papers)Kung‐Chao Chang (19 shared papers)Wen‐Chang Chang (8 shared papers)Joseph T. Tseng (8 shared papers)Yi‐Chao Lee (5 shared papers)Ching-Wen Chang (1 shared paper)Bor‐Ran Li (1 shared paper)
- Journals
- Cell Death and Disease (4 papers)Journal of Biomedical Science (3 papers)Journal of Biological Chemistry (3 papers)PLoS ONE (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- TaiwanUnited StatesIndia
In The Last Decade
Liang‐Yi Hung
57 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 96
- Cell Biology 411
- Oncology 340
- Cancer Research 160
- Molecular Biology 771
- Pathology and Forensic Medicine 135
Countries citing papers authored by Liang‐Yi Hung
This map shows the geographic impact of Liang‐Yi Hung'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 Liang‐Yi Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang‐Yi Hung more than expected).
Fields of papers citing papers by Liang‐Yi Hung
This network shows the impact of papers produced by Liang‐Yi Hung. 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 Liang‐Yi Hung. The network helps show where Liang‐Yi Hung may publish in the future.
Co-authors
The 25 scholars most cited alongside Liang‐Yi Hung, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 152 | |
| 2 | 2000 | 143 | |
| 3 | 2004 | 88 | |
| 4 | 2013 | 72 | |
| 5 | 2008 | 60 | |
| 6 | 2008 | 57 | |
| 7 | 2020 | 52 | |
| 8 | 2019 | 41 | |
| 9 | 2011 | 40 | |
| 10 | 2008 | 39 | |
| 11 | 2007 | 36 | |
| 12 | 2013 | 35 | |
| 13 | 2010 | 33 | |
| 14 | 2021 | 32 | |
| 15 | 2012 | 32 | |
| 16 | 2013 | 31 | |
| 17 | 2017 | 31 | |
| 18 | 2019 | 30 | |
| 19 | 2010 | 29 | |
| 20 | 2016 | 25 |
About Liang‐Yi Hung
Liang‐Yi Hung is a scholar working on Molecular Biology, Cell Biology, Oncology, Pathology and Forensic Medicine and Immunology, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (18 papers), Ubiquitin and proteasome pathways (8 papers), Cancer-related Molecular Pathways (8 papers), Lymphoma Diagnosis and Treatment (8 papers), Plant nutrient uptake and metabolism (4 papers), Viral-associated cancers and disorders (4 papers), Immune Cell Function and Interaction (4 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Cell Biology (411 citations), Oncology (340 citations), Cancer Research (160 citations), Molecular Biology (771 citations) and Pathology and Forensic Medicine (135 citations). Liang‐Yi Hung has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Tang K. Tang, Chieh-Ju C. Tang, Kung‐Chao Chang, Wen‐Chang Chang, Joseph T. Tseng, Yi‐Chao Lee, Ching-Wen Chang, Bor‐Ran Li, Hua‐Ling Chen and Weiya Xia. Their work appears in journals such as Cell Death and Disease, Journal of Biomedical Science, Journal of Biological Chemistry, PLoS ONE and Nucleic Acids Research.
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.