Hsueh‐Ping Chao
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
- Oncology 7
- Cancer Cells and Metastasis 4
- PARP inhibition in cancer therapy 3
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- Prostate Cancer Treatment and Research 7
- Co-authors
- Dean G. Tang (13 shared papers)Collene R. Jeter (5 shared papers)Dingxiao Zhang (7 shared papers)Jianjun Shen (8 shared papers)Yue Lu (7 shared papers)Tao Yang (2 shared papers)Kiera Rycaj (7 shared papers)Junchen Wang (1 shared paper)
- Journals
- Nature Communications (5 papers)Oncotarget (2 papers)Cell Discovery (2 papers)Planta Medica (1 paper)Transfusion (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Hsueh‐Ping Chao
21 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 80
- Cancer Research 348
- Oncology 400
- Pulmonary and Respiratory Medicine 353
- Molecular Biology 768
- Complementary and alternative medicine 76
Countries citing papers authored by Hsueh‐Ping Chao
This map shows the geographic impact of Hsueh‐Ping Chao'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 Chao 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 Chao more than expected).
Fields of papers citing papers by Hsueh‐Ping Chao
This network shows the impact of papers produced by Hsueh‐Ping Chao. 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 Chao. The network helps show where Hsueh‐Ping Chao may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsueh‐Ping Chao, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 197 | |
| 2 | 2015 | 191 | |
| 3 | 2016 | 185 | |
| 4 | 2018 | 113 | |
| 5 | 2020 | 98 | |
| 6 | 2018 | 85 | |
| 7 | 2016 | 81 | |
| 8 | 2015 | 63 | |
| 9 | 2019 | 55 | |
| 10 | 2016 | 50 | |
| 11 | 2007 | 47 | |
| 12 | 2010 | 43 | |
| 13 | 2019 | 35 | |
| 14 | 2019 | 35 | |
| 15 | 2013 | 25 | |
| 16 | 2012 | 24 | |
| 17 | 2019 | 22 | |
| 18 | 2016 | 20 | |
| 19 | 2016 | 19 | |
| 20 | 2011 | 7 |
About Hsueh‐Ping Chao
Hsueh‐Ping Chao is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Hematology, Molecular Biology and Cancer Research, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (7 papers), Cancer Cells and Metastasis (4 papers), Blood groups and transfusion (3 papers), PARP inhibition in cancer therapy (3 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer-related molecular mechanisms research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Andrographolide Research and Applications (2 papers). The work is most often cited by research in Cancer Research (348 citations), Oncology (400 citations), Pulmonary and Respiratory Medicine (353 citations), Molecular Biology (768 citations) and Complementary and alternative medicine (76 citations). Hsueh‐Ping Chao has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Dean G. Tang, Collene R. Jeter, Dingxiao Zhang, Jianjun Shen, Yue Lu, Tao Yang, Kiera Rycaj, Junchen Wang, Yi Zhong and Yoko Takata. Their work appears in journals such as Nature Communications, Oncotarget, Cell Discovery, Planta Medica and Transfusion.
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.