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
-
- Molecular Biology Techniques and Applications 2
- Oncology 8
- Cancer Cells and Metastasis 5
- PARP inhibition in cancer therapy 2
- Co-authors
- Dean G. Tang (13 shared papers)Collene Jeter (5 shared papers)Dingxiao Zhang (7 shared papers)Jianjun Shen (8 shared papers)Tao Yang (2 shared papers)Yue Lu (7 shared papers)Kiera Rycaj (7 shared papers)Junchen Wang (1 shared paper)
- Journals
- Nature Communications (3 papers)Cell Discovery (2 papers)Oncotarget (2 papers)Stem Cells (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Hsueh‐Ping Chao
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 76
- Cancer Research 337
- Oncology 384
- Molecular Biology 705
- Complementary and alternative medicine 73
- Pulmonary and Respiratory Medicine 284
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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 186 | |
| 2 | 2015 | 180 | |
| 3 | 2016 | 148 | |
| 4 | 2020 | 88 | |
| 5 | 2018 | 79 | |
| 6 | 2016 | 75 | |
| 7 | 2015 | 58 | |
| 8 | 2019 | 50 | |
| 9 | 2007 | 46 | |
| 10 | 2016 | 42 | |
| 11 | 2010 | 40 | |
| 12 | 2019 | 30 | |
| 13 | 2019 | 27 | |
| 14 | 2012 | 22 | |
| 15 | 2016 | 20 | |
| 16 | 2016 | 18 | |
| 17 | 2011 | 7 | |
| 18 | 2022 | 1 | |
| 19 | Selective uptake of specifically purified antibodies to carcinoembryonic antigen of human adenocarcinoma. | 1974 | 1 |
About Hsueh‐Ping Chao
Hsueh‐Ping Chao is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Immunology and Cancer Research, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (6 papers), Cancer Cells and Metastasis (5 papers), PARP inhibition in cancer therapy (2 papers), Molecular Biology Techniques and Applications (2 papers), Cancer-related molecular mechanisms research (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Cancer Genomics and Diagnostics (2 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Cancer Research (337 citations), Oncology (384 citations), Molecular Biology (705 citations), Complementary and alternative medicine (73 citations) and Pulmonary and Respiratory Medicine (284 citations). Hsueh‐Ping Chao has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Dean G. Tang, Collene Jeter, Dingxiao Zhang, Jianjun Shen, Tao Yang, Yue Lu, Kiera Rycaj, Junchen Wang, Yi Zhong and Yoko Takata. Their work appears in journals such as Nature Communications, Cell Discovery, Oncotarget, Stem Cells and Clinical Cancer Research.
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.