Hsueh‐Ping Chu
Impact in
- Aging top 5%
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- RNA Research and Splicing 5
- Genomics and Chromatin Dynamics 5
- DNA Repair Mechanisms 4
- RNA modifications and cancer 4
- CRISPR and Genetic Engineering 3
- Sexual Differentiation and Disorders 2
-
- 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)Teddy Jégu (1 shared paper)Chen‐Yu Wang (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)Developmental Cell (1 paper)
- Partner nations
- TaiwanUnited StatesGermany
In The Last Decade
Hsueh‐Ping Chu
21 papers receiving 957 citations
Peers
Comparison fields: 5 of 75
- Aging 39
- Cancer Research 174
- Molecular Biology 705
- Physiology 232
- Genetics 184
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 | 206 | |
| 2 | 2018 | 122 | |
| 3 | 2002 | 119 | |
| 4 | 2019 | 97 | |
| 5 | 2020 | 67 | |
| 6 | 2021 | 55 | |
| 7 | 2014 | 53 | |
| 8 | 2005 | 52 | |
| 9 | 2017 | 39 | |
| 10 | 2022 | 23 | |
| 11 | 2023 | 22 | |
| 12 | 2022 | 19 | |
| 13 | 2020 | 18 | |
| 14 | 2016 | 15 | |
| 15 | 2007 | 14 | |
| 16 | 2021 | 14 | |
| 17 | 2024 | 11 | |
| 18 | 2024 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2025 | 4 |
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 963 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), Genomics and Chromatin Dynamics (5 papers), DNA Repair Mechanisms (4 papers), Telomeres, Telomerase, and Senescence (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 Sexual Differentiation and Disorders (2 papers). The work is most often cited by research in Aging (39 citations), Cancer Research (174 citations), Molecular Biology (705 citations), Physiology (232 citations) and Genetics (184 citations). Hsueh‐Ping Chu has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Jeannie T. Lee, Hyun Jung Oh, Barry Kesner, Hun-Goo Lee, Teddy Jégu, Chen‐Yu Wang, 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 Developmental Cell.
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.