Yu‐De Chu
Impact in
- Aging top 10%
-
- Cancer, Hypoxia, and Metabolism
Papers in
-
- RNA modifications and cancer 6
- Glycosylation and Glycoproteins Research 3
- Epidemiology 11
- Hepatitis B Virus Studies 8
- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Chau‐Ting Yeh (28 shared papers)Ming‐Wei Lai (13 shared papers)Siew‐Na Lim (6 shared papers)Wey‐Ran Lin (8 shared papers)Yang-Hsiang Lin (8 shared papers)Kung‐Hao Liang (10 shared papers)Chih‐Lang Lin (10 shared papers)Ya‐Hui Huang (5 shared papers)
- Journals
- Biomedicines (3 papers)Cancers (3 papers)Cell Death and Disease (3 papers)Lab on a Chip (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Yu‐De Chu
45 papers receiving 517 citations
Peers
Comparison fields: 5 of 74
- Aging 22
- Cancer Research 119
- Hepatology 47
- Endocrinology, Diabetes and Metabolism 52
- Molecular Biology 230
Countries citing papers authored by Yu‐De Chu
This map shows the geographic impact of Yu‐De Chu'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 Yu‐De Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐De Chu more than expected).
Fields of papers citing papers by Yu‐De Chu
This network shows the impact of papers produced by Yu‐De Chu. 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 Yu‐De Chu. The network helps show where Yu‐De Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐De Chu, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 47 | |
| 2 | 2023 | 43 | |
| 3 | 2014 | 40 | |
| 4 | 2015 | 36 | |
| 5 | 2022 | 30 | |
| 6 | 2023 | 23 | |
| 7 | 2020 | 23 | |
| 8 | 2019 | 23 | |
| 9 | 2014 | 21 | |
| 10 | 2018 | 20 | |
| 11 | 2015 | 18 | |
| 12 | 2019 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2021 | 15 | |
| 15 | 2018 | 14 | |
| 16 | 2021 | 13 | |
| 17 | 2023 | 10 | |
| 18 | 2017 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2018 | 8 |
About Yu‐De Chu
Yu‐De Chu is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Electrical and Electronic Engineering and Hepatology, having authored 48 papers that have together received 525 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (8 papers), Cancer, Hypoxia, and Metabolism (7 papers), RNA modifications and cancer (6 papers), Semiconductor Lasers and Optical Devices (4 papers), Photonic and Optical Devices (4 papers), Glycosylation and Glycoproteins Research (3 papers), Semiconductor Quantum Structures and Devices (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Aging (22 citations), Cancer Research (119 citations), Hepatology (47 citations), Endocrinology, Diabetes and Metabolism (52 citations) and Molecular Biology (230 citations). Yu‐De Chu has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Chau‐Ting Yeh, Ming‐Wei Lai, Siew‐Na Lim, Wey‐Ran Lin, Yang-Hsiang Lin, Kung‐Hao Liang, Chih‐Lang Lin, Ya‐Hui Huang, Kwang‐Huei Lin and Shih‐Peng Chan. Their work appears in journals such as Biomedicines, Cancers, Cell Death and Disease, Lab on a Chip and International Journal of Molecular Sciences.
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.