Kun‐Yang Chuang

51 total papers · 1.3k total citations
44 papers, 976 citations indexed

About

Kun‐Yang Chuang is a scholar working on General Health Professions, Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Kun‐Yang Chuang has authored 44 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in General Health Professions, 10 papers in Health and 10 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Kun‐Yang Chuang's work include Global Maternal and Child Health (9 papers), Health disparities and outcomes (8 papers) and Child Nutrition and Water Access (6 papers). Kun‐Yang Chuang is often cited by papers focused on Global Maternal and Child Health (9 papers), Health disparities and outcomes (8 papers) and Child Nutrition and Water Access (6 papers). Kun‐Yang Chuang collaborates with scholars based in Taiwan, South Sudan and Indonesia. Kun‐Yang Chuang's co-authors include Yuh‐Shan Ho, Ying‐Chih Chuang, Ming-Huang Wang, Peter Austin Morton Ntenda, Fentanesh Nibret Tiruneh, Yali Huang, Hui‐Zhen Fu, Ya-Li Huang, Shwu-Chong Wu and Owen Nkoka and has published in prestigious journals such as Social Science & Medicine, International Journal of Environmental Research and Public Health and Frontiers in Psychology.

In The Last Decade

Kun‐Yang Chuang

43 papers receiving 925 citations

Author Peers

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

Author Last Decade Papers Cites
Kun‐Yang Chuang 208 152 136 129 126 44 976
Ursula Griebler 299 1.4× 75 0.5× 81 0.6× 292 2.3× 50 0.4× 38 1.0k
Kate Nyhan 193 0.9× 341 2.2× 120 0.9× 157 1.2× 34 0.3× 76 938
Evelina Chapman 302 1.5× 75 0.5× 49 0.4× 167 1.3× 82 0.7× 42 1.0k
Guillermo Paraje 344 1.7× 112 0.7× 181 1.3× 382 3.0× 64 0.5× 61 1.2k
Rachel Clark 351 1.7× 92 0.6× 37 0.3× 193 1.5× 50 0.4× 36 959
Caitlin Bakker 144 0.7× 128 0.8× 77 0.6× 143 1.1× 126 1.0× 89 1.0k
M. Tavakoli 185 0.9× 119 0.8× 47 0.3× 122 0.9× 40 0.3× 24 975
Cora Roelofs 251 1.2× 98 0.6× 49 0.4× 180 1.4× 94 0.7× 41 1.2k
Emma F. France 405 1.9× 186 1.2× 71 0.5× 255 2.0× 46 0.4× 35 1.2k
Getachew Dagne 128 0.6× 69 0.5× 41 0.3× 192 1.5× 31 0.2× 86 1.1k

Countries citing papers authored by Kun‐Yang Chuang

Since Specialization
Citations

This map shows the geographic impact of Kun‐Yang Chuang'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 Kun‐Yang Chuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun‐Yang Chuang more than expected).

Fields of papers citing papers by Kun‐Yang Chuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun‐Yang Chuang. 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 Kun‐Yang Chuang. The network helps show where Kun‐Yang Chuang may publish in the future.

Co-authorship network of co-authors of Kun‐Yang Chuang

This figure shows the co-authorship network connecting the top 25 collaborators of Kun‐Yang Chuang. A scholar is included among the top collaborators of Kun‐Yang Chuang 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 Kun‐Yang Chuang. Kun‐Yang Chuang 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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2026