Yi-Ting Hwang

416 total citations
10 papers, 336 citations indexed

About

Yi-Ting Hwang is a scholar working on Oncology, General Health Professions and Economics and Econometrics. According to data from OpenAlex, Yi-Ting Hwang has authored 10 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in General Health Professions and 3 papers in Economics and Econometrics. Recurrent topics in Yi-Ting Hwang's work include Global Cancer Incidence and Screening (4 papers), RNA modifications and cancer (2 papers) and Healthcare cost, quality, practices (2 papers). Yi-Ting Hwang is often cited by papers focused on Global Cancer Incidence and Screening (4 papers), RNA modifications and cancer (2 papers) and Healthcare cost, quality, practices (2 papers). Yi-Ting Hwang collaborates with scholars based in Taiwan, United States and Cyprus. Yi-Ting Hwang's co-authors include Jeanne S. Mandelblatt, Herng‐Ching Lin, Sudha Xirasagar, Stephen B. Edge, Chi-Hung Chen, Jon Kerner, Neal J. Meropol, Jane C. Weeks, Neal J. Meropol and Jack Hadley and has published in prestigious journals such as Journal of Clinical Oncology, American Journal of Respiratory and Critical Care Medicine and Medical Care.

In The Last Decade

Yi-Ting Hwang

10 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi-Ting Hwang Taiwan 9 157 62 59 52 44 10 336
Lauren Steward United States 8 77 0.5× 68 1.1× 69 1.2× 35 0.7× 36 0.8× 16 303
Kelley Tipton United States 10 87 0.6× 33 0.5× 50 0.8× 69 1.3× 42 1.0× 22 376
Denise Danos United States 10 152 1.0× 59 1.0× 36 0.6× 27 0.5× 24 0.5× 55 394
José Luis Muñoz de Nova Spain 11 125 0.8× 21 0.3× 54 0.9× 34 0.7× 32 0.7× 61 352
Lynne Penberthy United States 6 187 1.2× 63 1.0× 60 1.0× 91 1.8× 86 2.0× 7 355
L. M. Schwartz United States 4 106 0.7× 25 0.4× 41 0.7× 29 0.6× 40 0.9× 4 322
Ruili Luo United States 9 87 0.6× 28 0.5× 34 0.6× 35 0.7× 66 1.5× 14 368
Susie X. Sun United States 12 125 0.8× 131 2.1× 45 0.8× 65 1.3× 26 0.6× 49 405
Chunhuan Lao New Zealand 11 188 1.2× 85 1.4× 26 0.4× 83 1.6× 42 1.0× 57 399
Peter Bird United States 10 262 1.7× 158 2.5× 22 0.4× 34 0.7× 44 1.0× 20 503

Countries citing papers authored by Yi-Ting Hwang

Since Specialization
Citations

This map shows the geographic impact of Yi-Ting Hwang'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 Yi-Ting Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi-Ting Hwang more than expected).

Fields of papers citing papers by Yi-Ting Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi-Ting Hwang. 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 Yi-Ting Hwang. The network helps show where Yi-Ting Hwang may publish in the future.

Co-authorship network of co-authors of Yi-Ting Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Yi-Ting Hwang. A scholar is included among the top collaborators of Yi-Ting Hwang 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 Yi-Ting Hwang. Yi-Ting Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Hwang, Yi-Ting, et al.. (2019). Joint modelling of longitudinal binary data and survival data. Journal of Applied Statistics. 46(13). 2357–2371. 1 indexed citations
2.
Wu, Yi‐Ying, Yi-Ting Hwang, Wann-Cherng Perng, et al.. (2016). CPEB4 and IRF4 expression in peripheral mononuclear cells are potential prognostic factors for advanced lung cancer. Journal of the Formosan Medical Association. 116(2). 114–122. 16 indexed citations
3.
Chian, Chih‐Feng, Yi-Ting Hwang, Shih-Chun Lee, et al.. (2016). Panels of tumor-derived RNA markers in peripheral blood of patients with non-small cell lung cancer: their dependence on age, gender and clinical stages. Oncotarget. 7(31). 50582–50595. 16 indexed citations
4.
Lin, Herng‐Ching, Sudha Xirasagar, Chi-Hung Chen, & Yi-Ting Hwang. (2008). Physician's Case Volume of Intensive Care Unit Pneumonia Admissions and In-Hospital Mortality. American Journal of Respiratory and Critical Care Medicine. 177(9). 989–994. 69 indexed citations
5.
Lin, Herng‐Ching, Sudha Xirasagar, Nai-Wen Tsao, et al.. (2008). Volume–outcome relationships in coronary artery bypass graft surgery patients: 5-year major cardiovascular event outcomes. Journal of Thoracic and Cardiovascular Surgery. 135(4). 923–930. 17 indexed citations
6.
Lin, Hsiu‐Chen, Sudha Xirasagar, Herng‐Ching Lin, & Yi-Ting Hwang. (2007). Does Physicians’ Case Volume Impact Inpatient Care Costs for Pneumonia Cases?. Journal of General Internal Medicine. 23(3). 304–309. 8 indexed citations
7.
Liang, Wenchi, William Lawrence, Caroline B. Burnett, et al.. (2003). Acceptability of Diagnostic Tests for Breast Cancer. Breast Cancer Research and Treatment. 79(2). 199–206. 25 indexed citations
8.
Mandelblatt, Jeanne S., Stephen B. Edge, Neal J. Meropol, et al.. (2003). Predictors of Long-Term Outcomes in Older Breast Cancer Survivors: Perceptions Versus Patterns of Care. Journal of Clinical Oncology. 21(5). 855–863. 104 indexed citations
9.
Mandelblatt, Jeanne S., Christine D. Berg, Neal J. Meropol, et al.. (2001). Measuring and Predicting Surgeons??? Practice Styles for Breast Cancer Treatment in Older Women. Medical Care. 39(3). 228–242. 72 indexed citations
10.
Kerner, Jon, et al.. (2001). Screening mammography and breast cancer treatment patterns in older women. Breast Cancer Research and Treatment. 69(1). 81–91. 8 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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