Ruping Zhao
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Breast Cancer Treatment Studies
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- HER2/EGFR in Cancer Research
Papers in
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- Lung Cancer Diagnosis and Treatment 3
- Sarcoma Diagnosis and Treatment 3
- Lung Cancer Treatments and Mutations 3
- Co-authors
- Qinghua Deng (4 shared papers)Xiaomao Guo (6 shared papers)Shixiu Wu (3 shared papers)Feng Yan (4 shared papers)Xiaoli Yu (3 shared papers)Zhaozhi Yang (2 shared papers)Na Wei (1 shared paper)Jinli Ma (1 shared paper)
- Journals
- Scientific Reports (2 papers)Naunyn-Schmiedeberg s Archives of Pharmacology (2 papers)Japanese Journal of Clinical Oncology (2 papers)Radiation Oncology (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaSouth KoreaHong Kong
In The Last Decade
Ruping Zhao
22 papers receiving 258 citations
Peers
Comparison fields: 5 of 56
- Cancer Research 96
- Oncology 89
- Pulmonary and Respiratory Medicine 88
- Otorhinolaryngology 11
- Molecular Biology 121
Countries citing papers authored by Ruping Zhao
This map shows the geographic impact of Ruping Zhao'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 Ruping Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruping Zhao more than expected).
Fields of papers citing papers by Ruping Zhao
This network shows the impact of papers produced by Ruping Zhao. 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 Ruping Zhao. The network helps show where Ruping Zhao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruping Zhao, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 59 | |
| 2 | 2016 | 35 | |
| 3 | LncRNAs link cancer stemness to therapy resistance. | 2021 | 17 |
| 4 | 2011 | 16 | |
| 5 | 2021 | 15 | |
| 6 | 2014 | 13 | |
| 7 | 2017 | 12 | |
| 8 | 2023 | 11 | |
| 9 | 2021 | 11 | |
| 10 | 2024 | 9 | |
| 11 | 2011 | 9 | |
| 12 | 2016 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2021 | 8 | |
| 15 | 2020 | 7 | |
| 16 | 2018 | 5 | |
| 17 | 2016 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 2 |
About Ruping Zhao
Ruping Zhao is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 261 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Advanced Radiotherapy Techniques (4 papers), MicroRNA in disease regulation (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Lung Cancer Treatments and Mutations (3 papers), Breast Cancer Treatment Studies (2 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Cancer Research (96 citations), Oncology (89 citations), Pulmonary and Respiratory Medicine (88 citations), Otorhinolaryngology (11 citations) and Molecular Biology (121 citations). Ruping Zhao has collaborated with scholars based in China, South Korea and Hong Kong. Frequent co-authors include Qinghua Deng, Xiaomao Guo, Shixiu Wu, Feng Yan, Xiaoli Yu, Zhaozhi Yang, Na Wei, Jinli Ma, Xingxing Chen and Zhirui Zhou. Their work appears in journals such as Scientific Reports, Naunyn-Schmiedeberg s Archives of Pharmacology, Japanese Journal of Clinical Oncology, Radiation Oncology and Oncotarget.
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.