Yi‐Ting Hwang

88 total papers · 1.3k total citations
64 papers, 1.0k citations indexed

About

Yi‐Ting Hwang is a scholar working on Oncology, Statistics and Probability and Surgery. According to data from OpenAlex, Yi‐Ting Hwang has authored 64 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 12 papers in Statistics and Probability and 10 papers in Surgery. Recurrent topics in Yi‐Ting Hwang's work include Global Cancer Incidence and Screening (7 papers), Statistical Distribution Estimation and Applications (6 papers) and Statistical Methods and Bayesian Inference (6 papers). Yi‐Ting Hwang is often cited by papers focused on Global Cancer Incidence and Screening (7 papers), Statistical Distribution Estimation and Applications (6 papers) and Statistical Methods and Bayesian Inference (6 papers). Yi‐Ting Hwang collaborates with scholars based in Taiwan, United States and South Korea. Yi‐Ting Hwang's co-authors include Jeanne S. Mandelblatt, Jack Hadley, Julia H. Rowland, Jane C. Weeks, Hui‐Ling Lee, Ta‐Chen Su, Chien‐Yu Lin, Melissa Figueiredo, Karen Gold and Jennifer Cullen and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yi‐Ting Hwang

59 papers receiving 998 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yi‐Ting Hwang 382 207 135 127 124 64 1.0k
Susanne Strohmaier 201 0.5× 266 1.3× 164 1.2× 102 0.8× 52 0.4× 55 1.2k
Beth Sherrill 350 0.9× 94 0.5× 105 0.8× 82 0.6× 135 1.1× 38 1.2k
Mandi Yu 563 1.5× 94 0.5× 102 0.8× 182 1.4× 114 0.9× 44 1.1k
Liangyuan Hu 223 0.6× 62 0.3× 154 1.1× 117 0.9× 106 0.9× 56 1.1k
Anne‐Marie Ugnat 314 0.8× 199 1.0× 144 1.1× 102 0.8× 64 0.5× 34 1.0k
Katie M. Applebaum 194 0.5× 92 0.4× 109 0.8× 79 0.6× 30 0.2× 43 1.1k
Lluís Cirera 265 0.7× 201 1.0× 167 1.2× 120 0.9× 28 0.2× 49 1.0k
Mara M. Epstein 270 0.7× 143 0.7× 74 0.5× 56 0.4× 42 0.3× 61 814
Julie A. Lynch 264 0.7× 203 1.0× 137 1.0× 35 0.3× 86 0.7× 108 1.1k
Arlette Danzon 632 1.7× 86 0.4× 114 0.8× 44 0.3× 75 0.6× 51 1.1k

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

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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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