Yang-Shia Dai

26 total papers · 1000 total citations
19 papers, 809 citations indexed

About

Yang-Shia Dai is a scholar working on Physiology, Dermatology and Epidemiology. According to data from OpenAlex, Yang-Shia Dai has authored 19 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 5 papers in Dermatology and 4 papers in Epidemiology. Recurrent topics in Yang-Shia Dai's work include Dermatology and Skin Diseases (4 papers), Asthma and respiratory diseases (4 papers) and Nutritional Studies and Diet (2 papers). Yang-Shia Dai is often cited by papers focused on Dermatology and Skin Diseases (4 papers), Asthma and respiratory diseases (4 papers) and Nutritional Studies and Diet (2 papers). Yang-Shia Dai collaborates with scholars based in Taiwan, China and United States. Yang-Shia Dai's co-authors include Bor‐Luen Chiang, Hsien‐Ching Chiu, Tsen‐Fang Tsai, Chia‐Yu Chu, Jeng‐Wei Tjiu, Yi‐Hua Liao, Pan‐Chyr Yang, Chia‐Tung Shun, Jau‐Shiuh Chen and Min‐Liang Kuo and has published in prestigious journals such as The Journal of Immunology, PEDIATRICS and Journal of Controlled Release.

In The Last Decade

Yang-Shia Dai

18 papers receiving 793 citations

Author Peers

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

Author						Papers	Cites
Yang-Shia Dai	240	207	159	127	120	19	809
L. Overbergh	188 0.8×	154 0.7×	161 1.0×	111 0.9×	147 1.2×	28	914
Felix Weber	309 1.3×	269 1.3×	190 1.2×	118 0.9×	117 1.0×	15	744
Douglas Gibbs	293 1.2×	77 0.4×	348 2.2×	99 0.8×	99 0.8×	24	1.0k
T Ogawa	287 1.2×	101 0.5×	272 1.7×	58 0.5×	113 0.9×	33	1.0k
Spyridon Christodoulou	302 1.3×	70 0.3×	232 1.5×	71 0.6×	105 0.9×	30	972
Urszula Radzikowska	272 1.1×	96 0.5×	186 1.2×	122 1.0×	265 2.2×	21	1.0k
Gilles J. Lauzon	151 0.6×	316 1.5×	219 1.4×	66 0.5×	48 0.4×	34	830
Ellen B. Cook	379 1.6×	99 0.5×	119 0.7×	232 1.8×	193 1.6×	29	889
Ichiro Hikita	102 0.4×	191 0.9×	96 0.6×	85 0.7×	123 1.0×	12	784
Nobuyasu Baba	576 2.4×	111 0.5×	215 1.4×	79 0.6×	160 1.3×	22	937

Countries citing papers authored by Yang-Shia Dai

Since Specialization

Citations

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

Fields of papers citing papers by Yang-Shia Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang-Shia Dai. 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 Yang-Shia Dai. The network helps show where Yang-Shia Dai may publish in the future.

Co-authorship network of co-authors of Yang-Shia Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Yang-Shia Dai. A scholar is included among the top collaborators of Yang-Shia Dai 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 Yang-Shia Dai. Yang-Shia Dai 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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