Chen-Hsin Kuo
Impact in
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
Papers in
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- Epigenetics and DNA Methylation 2
- DNA Repair Mechanisms 2
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- 3D IC and TSV technologies 3
- Electronic Packaging and Soldering Technologies 3
- Silicon Carbide Semiconductor Technologies 2
- Co-authors
- Chih‐Cheng Chen (4 shared papers)Shu‐Huei Wang (4 shared papers)Yann‐Lii Leu (4 shared papers)Chia‐Jung Li (4 shared papers)Yi‐Han Chiu (2 shared papers)Shu‐Chuan Lin (1 shared paper)J.-Y. Lin (1 shared paper)Tong‐Hong Wang (3 shared papers)
In The Last Decade
Chen-Hsin Kuo
16 papers receiving 314 citations
Peers
Comparison fields: 5 of 87
- Geriatrics and Gerontology 26
- Aging 10
- Nuclear and High Energy Physics 41
- Biochemistry 12
- Molecular Biology 120
Countries citing papers authored by Chen-Hsin Kuo
This map shows the geographic impact of Chen-Hsin Kuo'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 Chen-Hsin Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen-Hsin Kuo more than expected).
Fields of papers citing papers by Chen-Hsin Kuo
This network shows the impact of papers produced by Chen-Hsin Kuo. 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 Chen-Hsin Kuo. The network helps show where Chen-Hsin Kuo may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen-Hsin Kuo, 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 | 2020 | 71 | |
| 2 | 2006 | 46 | |
| 3 | 2022 | 38 | |
| 4 | 2023 | 36 | |
| 5 | 2021 | 30 | |
| 6 | 2011 | 21 | |
| 7 | 2017 | 16 | |
| 8 | 2019 | 14 | |
| 9 | 2021 | 14 | |
| 10 | 2006 | 13 | |
| 11 | 2005 | 7 | |
| 12 | 2023 | 5 | |
| 13 | 2018 | 2 | |
| 14 | 2006 | 1 | |
| 15 | Frequent loss of CD10 expression in follicular lymphoma with leukaemic presentation. | 2020 | 1 |
| 16 | 2019 | 1 |
About Chen-Hsin Kuo
Chen-Hsin Kuo is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Pulmonary and Respiratory Medicine, Geriatrics and Gerontology and Physiology, having authored 16 papers that have together received 316 indexed citations. Recurring topics across this work include 3D IC and TSV technologies (3 papers), Electronic Packaging and Soldering Technologies (3 papers), Sirtuins and Resveratrol in Medicine (2 papers), Epigenetics and DNA Methylation (2 papers), Adipose Tissue and Metabolism (2 papers), DNA Repair Mechanisms (2 papers), Silicon Carbide Semiconductor Technologies (2 papers) and Pharmacological Effects of Medicinal Plants (1 paper). The work is most often cited by research in Geriatrics and Gerontology (26 citations), Aging (10 citations), Nuclear and High Energy Physics (41 citations), Biochemistry (12 citations) and Molecular Biology (120 citations). Chen-Hsin Kuo has collaborated with scholars based in Taiwan, Germany and Singapore. Frequent co-authors include Chih‐Cheng Chen, Shu‐Huei Wang, Yann‐Lii Leu, Chia‐Jung Li, Yi‐Han Chiu, Shu‐Chuan Lin, J.-Y. Lin, Tong‐Hong Wang, S.‐Y. Chen and Jyhpyng Wang. Their work appears in journals such as Biomedicines, Aging, Frontiers in Cell and Developmental Biology, Applied Physics Letters and Nature Communications.
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.