Yu‐Ru Su

1.6k total citations
22 papers, 268 citations indexed

About

Yu‐Ru Su is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Artificial Intelligence. According to data from OpenAlex, Yu‐Ru Su has authored 22 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 5 papers in Oncology and 4 papers in Artificial Intelligence. Recurrent topics in Yu‐Ru Su's work include Global Cancer Incidence and Screening (4 papers), AI in cancer detection (4 papers) and Breast Cancer Treatment Studies (4 papers). Yu‐Ru Su is often cited by papers focused on Global Cancer Incidence and Screening (4 papers), AI in cancer detection (4 papers) and Breast Cancer Treatment Studies (4 papers). Yu‐Ru Su collaborates with scholars based in United States, Taiwan and Australia. Yu‐Ru Su's co-authors include Wei‐Chuan Tsai, Yen‐Wen Liu, Ping‐Yen Liu, Po-Sheng Chen, Wei-Ting Lee, Wei‐Ting Chang, Jane-Ling Wang, Li Hsu, Chongzhi Di and Brian L. Sprague and has published in prestigious journals such as JAMA, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Yu‐Ru Su

18 papers receiving 265 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yu‐Ru Su United States 11 80 54 50 45 43 22 268
Jill S. Gluskin United States 8 32 0.4× 19 0.4× 53 1.1× 58 1.3× 94 2.2× 26 235
Carolien M. Bronkhorst Netherlands 8 179 2.2× 30 0.6× 90 1.8× 41 0.9× 29 0.7× 14 272
Eve Fryer United Kingdom 10 159 2.0× 15 0.3× 56 1.1× 133 3.0× 42 1.0× 29 323
Angela Ernst Germany 9 46 0.6× 18 0.3× 74 1.5× 39 0.9× 30 0.7× 34 280
Daohui Yang China 9 69 0.9× 29 0.5× 94 1.9× 49 1.1× 131 3.0× 19 301
Manesh Kumar Gangwani United States 10 53 0.7× 14 0.3× 130 2.6× 110 2.4× 23 0.5× 97 310
Chaya Shwaartz Canada 11 89 1.1× 14 0.3× 193 3.9× 77 1.7× 29 0.7× 39 311
Fu‐shun Pan China 12 59 0.7× 39 0.7× 144 2.9× 31 0.7× 79 1.8× 28 363
Suraj K. Jaladanki United States 9 98 1.2× 38 0.7× 43 0.9× 23 0.5× 21 0.5× 19 393
Yusuke Kudo Japan 9 108 1.4× 23 0.4× 45 0.9× 37 0.8× 47 1.1× 24 265

Countries citing papers authored by Yu‐Ru Su

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Yu‐Ru Su

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Ru Su. A scholar is included among the top collaborators of Yu‐Ru Su based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu‐Ru Su. Yu‐Ru Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Tong, Yu‐Ru Su, Janie M. Lee, et al.. (2025). Tomosynthesis vs Digital Mammography Screening in Women with a Family History of Breast Cancer. JAMA Oncology. 11(7). 742–742.
2.
Kerlikowske, Karla, Weiwei Zhu, Yu‐Ru Su, et al.. (2024). Response to Omoleye, Esserman, Olufunmilayo. JNCI Journal of the National Cancer Institute. 116(4). 629–630. 3 indexed citations
3.
Hubbard, Rebecca A., Yu‐Ru Su, Erin J. Aiello Bowles, et al.. (2024). Predicting five-year interval second breast cancer risk in women with prior breast cancer. JNCI Journal of the National Cancer Institute. 116(6). 929–937.
4.
Anderson, Melissa L., Lisa Carter‐Harris, Hongyuan Gao, et al.. (2024). A pragmatic randomized clinical trial of multilevel interventions to improve adherence to lung cancer screening (The Larch Study): Study protocol. Contemporary Clinical Trials. 140. 107495–107495. 2 indexed citations
5.
Lee, Cecilia S., Laura E. Gibbons, Rod Walker, et al.. (2024). Eye Adult Changes in Thought (Eye ACT) Study: Design and Report on the Inaugural Cohort. Journal of Alzheimer s Disease. 100(1). 309–320.
6.
Su, Yu‐Ru, Diana S.M. Buist, Janie M. Lee, et al.. (2023). Performance of Statistical and Machine Learning Risk Prediction Models for Surveillance Benefits and Failures in Breast Cancer Survivors. Cancer Epidemiology Biomarkers & Prevention. 32(4). 561–571. 4 indexed citations
7.
Kerlikowske, Karla, Weiwei Zhu, Yu‐Ru Su, et al.. (2023). Supplemental magnetic resonance imaging plus mammography compared with magnetic resonance imaging or mammography by extent of breast density. JNCI Journal of the National Cancer Institute. 116(2). 249–257. 5 indexed citations
8.
Sprague, Brian L., R. Yates Coley, Kathryn P. Lowry, et al.. (2023). Digital Breast Tomosynthesis versus Digital Mammography Screening Performance on Successive Screening Rounds from the Breast Cancer Surveillance Consortium. Radiology. 307(5). e223142–e223142. 18 indexed citations
9.
Meester, Reinier G.S., Elisabeth F.P. Peterse, Ann G. Zauber, et al.. (2023). Risk-Stratified Screening for Colorectal Cancer Using Genetic and Environmental Risk Factors: A Cost-Effectiveness Analysis Based on Real-World Data. Clinical Gastroenterology and Hepatology. 21(13). 3415–3423.e29. 11 indexed citations
10.
Lee, Cecilia S., Yu‐Ru Su, Rod Walker, et al.. (2022). Diabetic Retinopathy and Dementia Association, Beyond Diabetes Severity. American Journal of Ophthalmology. 249. 90–98. 11 indexed citations
11.
Kerlikowske, Karla, Yu‐Ru Su, Brian L. Sprague, et al.. (2022). Association of Screening With Digital Breast Tomosynthesis vs Digital Mammography With Risk of Interval Invasive and Advanced Breast Cancer. JAMA. 327(22). 2220–2220. 34 indexed citations
12.
Dong, Xinyuan, Yu‐Ru Su, Richard Barfield, et al.. (2020). A general framework for functionally informed set-based analysis: Application to a large-scale colorectal cancer study. PLoS Genetics. 16(8). e1008947–e1008947. 10 indexed citations
13.
Su, Yu‐Ru, Chongzhi Di, & Li Hsu. (2016). A unified powerful set-based test for sequencing data analysis of GxE interactions. Biostatistics. 18(1). 119–131. 18 indexed citations
14.
Carey, James R., Pablo Liedo, Cong Xu, et al.. (2016). Diet Shapes Mortality Response to Trauma in Old Tephritid Fruit Flies. PLoS ONE. 11(7). e0158468–e0158468. 1 indexed citations
15.
Su, Yu‐Ru & Jane-Ling Wang. (2016). Semiparametric efficient estimation for shared-frailty models with doubly-censored clustered data. The Annals of Statistics. 44(3). 1298–1331. 13 indexed citations
16.
Chang, Wei‐Ting, Wei-Ting Lee, Po-Sheng Chen, et al.. (2015). Left ventricular global longitudinal strain is independently associated with mortality in septic shock patients. Intensive Care Medicine. 41(10). 1791–1799. 72 indexed citations
17.
Tseng, Yi‐Kuan, et al.. (2015). An extended hazard model with longitudinal covariates. Biometrika. 102(1). 135–150. 8 indexed citations
18.
19.
Su, Chi-Ting, Yu‐Tzu Chang, Yu‐Ru Su, et al.. (2014). Elevated Serum Interleukin-18 Level Is Associated with All-Cause Mortality in Stable Hemodialysis Patients Independently of Cardiac Dysfunction. PLoS ONE. 9(3). e89457–e89457. 12 indexed citations
20.
Kouloussis, Nikos A., Nikos T. Papadopoulos, Byron Katsoyannos, et al.. (2011). Seasonal trends in Ceratitis capitata reproductive potential derived from live-caught females in Greece. Entomologia Experimentalis et Applicata. 140(3). 181–188. 7 indexed citations

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.

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