Yu‐Ru Su
Impact in
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- Hepatitis C virus research
Papers in
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- Digital Radiography and Breast Imaging 4
- Oncology 5
- Global Cancer Incidence and Screening 4
- Co-authors
- Yen‐Wen Liu (2 shared papers)Wei‐Chuan Tsai (2 shared papers)Wei-Ting Lee (1 shared paper)Wei‐Ting Chang (1 shared paper)Po-Sheng Chen (1 shared paper)Ping‐Yen Liu (1 shared paper)Jane-Ling Wang (3 shared papers)Li Hsu (3 shared papers)
- Journals
- JNCI Journal of the National Cancer Institute (3 papers)PLoS ONE (2 papers)JAMA (1 paper)JAMA Network Open (1 paper)Contemporary Clinical Trials (1 paper)
- Partner nations
- United StatesTaiwanAustralia
In The Last Decade
Yu‐Ru Su
18 papers receiving 265 citations
Peers
Comparison fields: 5 of 61
- Critical Care and Intensive Care Medicine 18
- Hepatology 27
- Statistics and Probability 20
- Cardiology and Cardiovascular Medicine 54
- Epidemiology 80
Countries citing papers authored by Yu‐Ru Su
This map shows the geographic impact of Yu‐Ru Su'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 Yu‐Ru Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Ru Su more than expected).
Fields of papers citing papers by Yu‐Ru Su
This network shows the impact of papers produced by Yu‐Ru Su. 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 Yu‐Ru Su. The network helps show where Yu‐Ru Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐Ru Su, 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 | 2015 | 72 | |
| 2 | 2022 | 34 | |
| 3 | 2011 | 29 | |
| 4 | 2023 | 18 | |
| 5 | 2016 | 18 | |
| 6 | 2016 | 13 | |
| 7 | 2014 | 12 | |
| 8 | 2022 | 11 | |
| 9 | 2023 | 11 | |
| 10 | 2020 | 10 | |
| 11 | 2014 | 10 | |
| 12 | 2015 | 8 | |
| 13 | 2011 | 7 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2016 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Yu‐Ru Su
Yu‐Ru Su is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 22 papers that have together received 268 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (4 papers), Digital Radiography and Breast Imaging (4 papers), AI in cancer detection (4 papers), Global Cancer Incidence and Screening (4 papers), Genetic and phenotypic traits in livestock (2 papers), Statistical Methods and Bayesian Inference (2 papers), Genetic factors in colorectal cancer (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (18 citations), Hepatology (27 citations), Statistics and Probability (20 citations), Cardiology and Cardiovascular Medicine (54 citations) and Epidemiology (80 citations). Yu‐Ru Su has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Yen‐Wen Liu, Wei‐Chuan Tsai, Wei-Ting Lee, Wei‐Ting Chang, Po-Sheng Chen, Ping‐Yen Liu, Jane-Ling Wang, Li Hsu, Chongzhi Di and Karla Kerlikowske. Their work appears in journals such as JNCI Journal of the National Cancer Institute, PLoS ONE, JAMA, JAMA Network Open and Contemporary Clinical Trials.
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.