Yu-Ting Yan

415 total citations
9 papers, 316 citations indexed

About

Yu-Ting Yan is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Yu-Ting Yan has authored 9 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Surgery. Recurrent topics in Yu-Ting Yan's work include Congenital heart defects research (3 papers), Epigenetics and DNA Methylation (2 papers) and Zebrafish Biomedical Research Applications (2 papers). Yu-Ting Yan is often cited by papers focused on Congenital heart defects research (3 papers), Epigenetics and DNA Methylation (2 papers) and Zebrafish Biomedical Research Applications (2 papers). Yu-Ting Yan collaborates with scholars based in Taiwan, United States and Czechia. Yu-Ting Yan's co-authors include Chien-Jui Cheng, Ruey‐Bing Yang, Cheng-Fen Tu, Li‐Ru You, Ming-Tzu Tsai, Yi-Ru Yu, Chun‐Ming Chen, Lil Pabon, David J. Lundy and Sheng‐Nan Wu and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Molecular Cell.

In The Last Decade

Yu-Ting Yan

9 papers receiving 303 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yu-Ting Yan Taiwan	7	223	51	47	42	40	9	316
Junko Shimomura Japan	9	245 1.1×	62 1.2×	44 0.9×	49 1.2×	22 0.6×	17	378
Laura Louzao-Martinez Netherlands	10	132 0.6×	22 0.4×	69 1.5×	46 1.1×	33 0.8×	11	302
Veronika Kleff Germany	11	247 1.1×	63 1.2×	96 2.0×	63 1.5×	35 0.9×	14	445
Olga Katsara United States	10	240 1.1×	24 0.5×	63 1.3×	45 1.1×	68 1.7×	19	388
Alekseenko Lp Russia	11	208 0.9×	14 0.3×	90 1.9×	43 1.0×	42 1.1×	39	458
Jennifer Pham United States	9	259 1.2×	32 0.6×	33 0.7×	59 1.4×	18 0.5×	17	345
Masahiko Honda Japan	12	162 0.7×	36 0.7×	43 0.9×	16 0.4×	54 1.4×	30	359
Daniele Di Napoli Italy	12	144 0.6×	67 1.3×	47 1.0×	15 0.4×	17 0.4×	18	389
Theresa Schwarz Germany	8	175 0.8×	19 0.4×	74 1.6×	27 0.6×	41 1.0×	18	318
Sadhana Gaddam United States	10	224 1.0×	27 0.5×	36 0.8×	66 1.6×	45 1.1×	17	345

Countries citing papers authored by Yu-Ting Yan

Since Specialization

Citations

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

Fields of papers citing papers by Yu-Ting Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Ting Yan. 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 Yu-Ting Yan. The network helps show where Yu-Ting Yan may publish in the future.

Co-authorship network of co-authors of Yu-Ting Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Ting Yan. A scholar is included among the top collaborators of Yu-Ting Yan 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 Yu-Ting Yan. Yu-Ting Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Lin, Eugene, Yu-Ting Yan, Mu‐Hong Chen, et al.. (2025). Gene clusters linked to insulin resistance identified in a genome-wide study of the Taiwan Biobank population. Nature Communications. 16(1). 3525–3525. 2 indexed citations

2.

Shen, Li, Guo-Liang Xu, Anup K. Upadhyay, et al.. (2017). The Role of N-α-acetyltransferase 10 Protein in DNA Methylation and Genomic Imprinting. Molecular Cell. 68(1). 89–103.e7. 34 indexed citations

3.

Su, Yu-Cheng, Bing-Mae Chen, Pierre‐Alain Burnouf, et al.. (2015). Selective Delivery of PEGylated Compounds to Tumor Cells by Anti-PEG Hybrid Antibodies. Molecular Cancer Therapeutics. 14(6). 1317–1326. 32 indexed citations

4.

Chen, Jyh-Hong, David J. Lundy, Shiaw-Min Hwang, et al.. (2015). Defined MicroRNAs Induce Aspects of Maturation in Mouse and Human Embryonic-Stem-Cell-Derived Cardiomyocytes. Cell Reports. 12(12). 1960–1967. 76 indexed citations

5.

Yu, Yi-Ru, Li‐Ru You, Yu-Ting Yan, & Chun‐Ming Chen. (2014). Role of OVCA1/DPH1 in craniofacial abnormalities of Miller–Dieker syndrome. Human Molecular Genetics. 23(21). 5579–5596. 47 indexed citations

6.

Chiu, Te-Fa, Chun‐Chuan Chen, Chien‐Hsiun Chen, et al.. (2012). Association of Plasma Concentration of Small Heat Shock Protein B7 With Acute Coronary Syndrome. Circulation Journal. 76(9). 2226–2233. 10 indexed citations

7.

Yan, Yu-Ting, et al.. (2011). Region- and cell type-selective expression of the evolutionarily conserved Nolz-1/zfp503 gene in the developing mouse hindbrain. Gene Expression Patterns. 11(8). 525–532. 4 indexed citations

8.

Chou, Yu‐Chi, et al.. (2009). Ankrd17, an ubiquitously expressed ankyrin factor, is essential for the vascular integrity during embryogenesis. FEBS Letters. 583(17). 2765–2771. 24 indexed citations

9.

Tu, Cheng-Fen, et al.. (2008). Domain and Functional Analysis of a Novel Platelet-Endothelial Cell Surface Protein, SCUBE1. Journal of Biological Chemistry. 283(18). 12478–12488. 87 indexed citations

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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