Yen‐Ta Chen

15 total papers · 825 total citations
13 papers, 660 citations indexed

About

Yen‐Ta Chen is a scholar working on Surgery, Pediatrics, Perinatology and Child Health and Nephrology. According to data from OpenAlex, Yen‐Ta Chen has authored 13 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 4 papers in Pediatrics, Perinatology and Child Health and 3 papers in Nephrology. Recurrent topics in Yen‐Ta Chen's work include Birth, Development, and Health (4 papers), Bladder and Urothelial Cancer Treatments (4 papers) and Circadian rhythm and melatonin (3 papers). Yen‐Ta Chen is often cited by papers focused on Birth, Development, and Health (4 papers), Bladder and Urothelial Cancer Treatments (4 papers) and Circadian rhythm and melatonin (3 papers). Yen‐Ta Chen collaborates with scholars based in Taiwan and United Kingdom. Yen‐Ta Chen's co-authors include Hon‐Kan Yip, Chih‐Chao Yang, Hsin‐Ju Chiang, Chih‐Hung Chen, Hong‐Hwa Chen, Steve Leu, Chia‐Lo Chang, Pei‐Hsun Sung, Kun‐Chen Lin and Yuan‐Tso Cheng and has published in prestigious journals such as Journal of Pineal Research, British Journal of Urology and Lasers in Surgery and Medicine.

In The Last Decade

Yen‐Ta Chen

13 papers receiving 656 citations

Author Peers

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

Author						Papers	Cites
Yen‐Ta Chen	211	168	115	106	101	13	660
John H. Sipple	213 1.0×	75 0.4×	172 1.5×	56 0.5×	46 0.5×	10	753
Sara Castiglia	131 0.6×	279 1.7×	36 0.3×	76 0.7×	41 0.4×	21	721
Aili Sun	178 0.8×	307 1.8×	47 0.4×	139 1.3×	20 0.2×	26	764
Jana Ortmann	177 0.8×	215 1.3×	131 1.1×	183 1.7×	23 0.2×	22	697
Francesco Trimarchi	189 0.9×	136 0.8×	45 0.4×	46 0.4×	30 0.3×	27	787
Sherry Loo	186 0.9×	105 0.6×	49 0.4×	83 0.8×	21 0.2×	18	670
J C Monge	185 0.9×	260 1.5×	53 0.5×	221 2.1×	37 0.4×	17	750
Zoe Loomis	177 0.8×	237 1.4×	126 1.1×	54 0.5×	52 0.5×	21	571
Tatiana Victoni	89 0.4×	230 1.4×	177 1.5×	81 0.8×	25 0.2×	22	708
Sumbul Fatma	110 0.5×	194 1.2×	52 0.5×	126 1.2×	26 0.3×	14	559

Countries citing papers authored by Yen‐Ta Chen

Since Specialization

Citations

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

Fields of papers citing papers by Yen‐Ta Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yen‐Ta Chen. 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 Yen‐Ta Chen. The network helps show where Yen‐Ta Chen may publish in the future.

Co-authorship network of co-authors of Yen‐Ta Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yen‐Ta Chen. A scholar is included among the top collaborators of Yen‐Ta Chen 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 Yen‐Ta Chen. Yen‐Ta Chen 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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