Ya‐Chi Wu

11 total papers · 552 total citations
10 papers, 402 citations indexed

About

Ya‐Chi Wu is a scholar working on Cardiology and Cardiovascular Medicine, Statistics and Probability and Pharmacology. According to data from OpenAlex, Ya‐Chi Wu has authored 10 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 3 papers in Statistics and Probability and 2 papers in Pharmacology. Recurrent topics in Ya‐Chi Wu's work include Health Systems, Economic Evaluations, Quality of Life (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Optimal Experimental Design Methods (2 papers). Ya‐Chi Wu is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Optimal Experimental Design Methods (2 papers). Ya‐Chi Wu collaborates with scholars based in Taiwan and United States. Ya‐Chi Wu's co-authors include Robert A. Solomon, Eric C. Raps, Myunghee Cho Paik, Haiying Zhang, Avis Beckford, Matthew E. Fink, Laura Lennihan, Louise M. Klebanoff, Stephan A. Mayer and Ming-Chung Lee and has published in prestigious journals such as Stroke, Statistics in Medicine and Antioxidants.

In The Last Decade

Ya‐Chi Wu

10 papers receiving 387 citations

Author Peers

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

Author						Papers	Cites
Ya‐Chi Wu	278	50	50	41	36	10	402
Sanskriti Shrivastava	161 0.6×	65 1.3×	17 0.3×	69 1.7×	14 0.4×	16	438
Takashi Sogabe	103 0.4×	59 1.2×	19 0.4×	53 1.3×	12 0.3×	14	350
Mildred S. Yang	196 0.7×	41 0.8×	11 0.2×	22 0.5×	14 0.4×	12	398
Abirami Veluchamy	83 0.3×	25 0.5×	9 0.2×	39 1.0×	14 0.4×	16	446
Yue‐Yu Hu	139 0.5×	19 0.4×	18 0.4×	15 0.4×	43 1.2×	19	427
Diego Tamariz	154 0.6×	14 0.3×	80 1.6×	29 0.7×	3 0.1×	7	432
Hong-Dong Zhao	118 0.4×	26 0.5×	20 0.4×	29 0.7×	14 0.4×	20	384
Jindřich Olšovský	88 0.3×	11 0.2×	12 0.2×	26 0.6×	11 0.3×	15	411
Csaba Szab�	39 0.1×	26 0.5×	21 0.4×	30 0.7×	14 0.4×	12	419
Alecia Seliga	41 0.1×	29 0.6×	18 0.4×	22 0.5×	13 0.4×	8	432

Countries citing papers authored by Ya‐Chi Wu

Since Specialization

Citations

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

Fields of papers citing papers by Ya‐Chi Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya‐Chi Wu. 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 Ya‐Chi Wu. The network helps show where Ya‐Chi Wu may publish in the future.

Co-authorship network of co-authors of Ya‐Chi Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ya‐Chi Wu. A scholar is included among the top collaborators of Ya‐Chi Wu 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 Ya‐Chi Wu. Ya‐Chi Wu 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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