Hsueh‐Ping Chu
Impact in
- Aging top 5%
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
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- Genomics and Chromatin Dynamics 5
- RNA Research and Splicing 5
- DNA Repair Mechanisms 4
- RNA modifications and cancer 4
- CRISPR and Genetic Engineering 3
-
- Telomeres, Telomerase, and Senescence 4
- Co-authors
- Jeannie T. Lee (6 shared papers)Hyun Jung Oh (4 shared papers)Barry Kesner (3 shared papers)Hun-Goo Lee (3 shared papers)Chen‐Yu Wang (1 shared paper)Teddy Jégu (1 shared paper)Myriam Boukhali (2 shared papers)Wilhelm Haas (2 shared papers)
- Journals
- Cell (3 papers)Nucleic Acids Research (3 papers)Nature Communications (2 papers)Journal of Biological Chemistry (2 papers)Scientific Reports (1 paper)
- Partner nations
- TaiwanUnited StatesAustralia
In The Last Decade
Hsueh‐Ping Chu
20 papers receiving 923 citations
Peers
Comparison fields: 5 of 76
- Aging 40
- Cancer Research 182
- Molecular Biology 711
- Physiology 228
- Genetics 190
Countries citing papers authored by Hsueh‐Ping Chu
This map shows the geographic impact of Hsueh‐Ping 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 Hsueh‐Ping Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsueh‐Ping Chu more than expected).
Fields of papers citing papers by Hsueh‐Ping Chu
This network shows the impact of papers produced by Hsueh‐Ping 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 Hsueh‐Ping Chu. The network helps show where Hsueh‐Ping Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsueh‐Ping 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 201 | |
| 2 | 2018 | 120 | |
| 3 | 2002 | 119 | |
| 4 | 2019 | 92 | |
| 5 | 2020 | 67 | |
| 6 | 2014 | 53 | |
| 7 | 2021 | 52 | |
| 8 | 2005 | 51 | |
| 9 | 2017 | 39 | |
| 10 | 2022 | 21 | |
| 11 | 2022 | 18 | |
| 12 | 2023 | 18 | |
| 13 | 2020 | 18 | |
| 14 | 2016 | 15 | |
| 15 | 2007 | 13 | |
| 16 | 2021 | 12 | |
| 17 | 2024 | 8 | |
| 18 | 2024 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2025 | 1 |
About Hsueh‐Ping Chu
Hsueh‐Ping Chu is a scholar working on Molecular Biology, Physiology, Genetics, Cell Biology and Plant Science, having authored 22 papers that have together received 929 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), RNA Research and Splicing (5 papers), Telomeres, Telomerase, and Senescence (4 papers), DNA Repair Mechanisms (4 papers), RNA modifications and cancer (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), CRISPR and Genetic Engineering (3 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Aging (40 citations), Cancer Research (182 citations), Molecular Biology (711 citations), Physiology (228 citations) and Genetics (190 citations). Hsueh‐Ping Chu has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Jeannie T. Lee, Hyun Jung Oh, Barry Kesner, Hun-Goo Lee, Chen‐Yu Wang, Teddy Jégu, Myriam Boukhali, Wilhelm Haas, Eric Aeby and Catherine Cifuentes‐Rojas. Their work appears in journals such as Cell, Nucleic Acids Research, Nature Communications, Journal of Biological Chemistry and Scientific Reports.
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.