Chien-Wen Yang

75 total papers · 789 total citations
49 papers, 417 citations indexed

About

Chien-Wen Yang is a scholar working on Genetics, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Chien-Wen Yang has authored 49 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Genetics, 23 papers in Pediatrics, Perinatology and Child Health and 18 papers in Molecular Biology. Recurrent topics in Chien-Wen Yang's work include Genomic variations and chromosomal abnormalities (28 papers), Prenatal Screening and Diagnostics (22 papers) and Congenital heart defects research (11 papers). Chien-Wen Yang is often cited by papers focused on Genomic variations and chromosomal abnormalities (28 papers), Prenatal Screening and Diagnostics (22 papers) and Congenital heart defects research (11 papers). Chien-Wen Yang collaborates with scholars based in Taiwan, United States and Australia. Chien-Wen Yang's co-authors include Schu‐Rern Chern, Wayseen Wang, Chih‐Ping Chen, Peih-Shan Wu, Shin-Wen Chen, Yen-Ni Chen, Chen‐Chi Lee, Chen‐Wen Pan, Wen‐Chi Chang and Meng‐Shan Lee and has published in prestigious journals such as Nucleic Acids Research, Journal of the American Society of Nephrology and Journal of Experimental Botany.

In The Last Decade

Chien-Wen Yang

45 papers receiving 367 citations

Author Peers

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

Author						Papers	Cites
Chien-Wen Yang	238	210	119	91	55	49	417
Ioannis Papoulidis	251 1.1×	194 0.9×	115 1.0×	51 0.6×	39 0.7×	52	386
Matthew Hoi Kin Chau	245 1.0×	266 1.3×	88 0.7×	32 0.4×	38 0.7×	28	382
RichardL. Neu	237 1.0×	156 0.7×	120 1.0×	87 1.0×	38 0.7×	37	420
Pei-Chen Wu	257 1.1×	195 0.9×	154 1.3×	56 0.6×	68 1.2×	43	460
Dai‐Dyi Town	277 1.2×	278 1.3×	77 0.6×	73 0.8×	64 1.2×	51	378
Cantú Jm	259 1.1×	104 0.5×	165 1.4×	83 0.9×	41 0.7×	67	405
Denise Molina‐Gomes	162 0.7×	130 0.6×	101 0.8×	38 0.4×	21 0.4×	32	404
Chun Kyu Lim	172 0.7×	257 1.2×	72 0.6×	59 0.6×	42 0.8×	32	495
Jia‐Chi Wang	232 1.0×	194 0.9×	118 1.0×	52 0.6×	24 0.4×	28	381
Helen Brandenburg	192 0.8×	356 1.7×	62 0.5×	24 0.3×	100 1.8×	31	428

Countries citing papers authored by Chien-Wen Yang

Since Specialization

Citations

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

Fields of papers citing papers by Chien-Wen Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chien-Wen Yang

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