Chun‐An Chen

1.5k total citations · 1 hit paper
17 papers, 735 citations indexed

About

Chun‐An Chen is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Chun‐An Chen has authored 17 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Genetics and 2 papers in Cell Biology. Recurrent topics in Chun‐An Chen's work include Genetic Syndromes and Imprinting (4 papers), Genetics and Neurodevelopmental Disorders (3 papers) and RNA regulation and disease (2 papers). Chun‐An Chen is often cited by papers focused on Genetic Syndromes and Imprinting (4 papers), Genetics and Neurodevelopmental Disorders (3 papers) and RNA regulation and disease (2 papers). Chun‐An Chen collaborates with scholars based in United States, Germany and Poland. Chun‐An Chen's co-authors include Rumiana Tenchov, Qiongqiong Angela Zhou, Xinmei Wang, Janet M. Sasso, Christian P. Schaaf, J. A. Cowan, Jenn‐Shou Tsai, Jiani Yin, Guanwen Chen and Kari B. Green‐Church and has published in prestigious journals such as Nature Genetics, ACS Nano and Biochemistry.

In The Last Decade

Chun‐An Chen

16 papers receiving 727 citations

Hit Papers

Exosomes─Nature’s Lipid Nanoparticles, a Rising Star in D... 2022 2026 2023 2024 2022 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Exosomes─Nature’s Lipid Nanoparticles, a Rising Star in Drug Delivery and Diagnostics
    2022 361 citations Rumiana Tenchov, Janet M. Sasso et al. ACS Nano profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun‐An Chen United States 12 574 148 91 57 50 17 735
Marcio C. Bajgelman Brazil 18 407 0.7× 108 0.7× 123 1.4× 63 1.1× 121 2.4× 45 735
Satoshi Kofuji Japan 14 548 1.0× 124 0.8× 53 0.6× 27 0.5× 60 1.2× 30 822
Xavier de Mollerat du Jeu United States 7 514 0.9× 166 1.1× 81 0.9× 43 0.8× 129 2.6× 14 819
Inyoung Kim South Korea 17 534 0.9× 134 0.9× 47 0.5× 39 0.7× 92 1.8× 50 842
Bingteng Xie China 16 632 1.1× 174 1.2× 112 1.2× 61 1.1× 50 1.0× 38 828
Xiangqin He China 16 703 1.2× 258 1.7× 95 1.0× 63 1.1× 104 2.1× 40 1.1k
Francesca Sciandra Italy 19 646 1.1× 91 0.6× 58 0.6× 83 1.5× 48 1.0× 61 907
Jung-Hee Lee South Korea 19 582 1.0× 151 1.0× 73 0.8× 41 0.7× 92 1.8× 45 927
Jianhua Hu China 14 382 0.7× 185 1.3× 48 0.5× 66 1.2× 37 0.7× 40 735
Meixin Liu China 14 648 1.1× 230 1.6× 99 1.1× 52 0.9× 80 1.6× 31 1.0k

Countries citing papers authored by Chun‐An Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐An Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun‐An Chen

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

All Works

17 of 17 papers shown
1.
Mantilleri, Annabelle, Susanne Theiß, Tim Schubert, et al.. (2025). Models of Bosch-Boonstra-Schaaf optic atrophy syndrome reveal genotype-phenotype correlations in brain structure and behavior. Disease Models & Mechanisms. 18(10).
2.
Tenchov, Rumiana, et al.. (2022). Exosomes─Nature’s Lipid Nanoparticles, a Rising Star in Drug Delivery and Diagnostics. ACS Nano. 16(11). 17802–17846. 361 indexed citations breakdown →
3.
Chen, Chun‐An, Harinder Gill, Tanya N. Nelson, et al.. (2020). The expanding clinical phenotype of germline ABL1 ‐associated congenital heart defects and skeletal malformations syndrome. Human Mutation. 41(10). 1738–1744. 11 indexed citations
4.
Chen, Chun‐An, Rituraj Pal, Jiani Yin, et al.. (2020). Combination of whole exome sequencing and animal modeling identifies TMPRSS9 as a candidate gene for autism spectrum disorder. Human Molecular Genetics. 29(3). 459–470. 4 indexed citations
5.
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Chen, Chun‐An, Wei Wang, Steen E. Pedersen, et al.. (2019). Nr2f1 heterozygous knockout mice recapitulate neurological phenotypes of Bosch-Boonstra-Schaaf optic atrophy syndrome and show impaired hippocampal synaptic plasticity. Human Molecular Genetics. 29(5). 705–715. 12 indexed citations
7.
Martín‐Hernández, Elena, María Elena Rodríguez‐García, Chun‐An Chen, et al.. (2018). Mitochondrial involvement in a Bosch-Boonstra-Schaaf optic atrophy syndrome patient with a novel de novo NR2F1 gene mutation. Journal of Human Genetics. 63(4). 525–528. 22 indexed citations
8.
McCarthy, John, Jiani Yin, Chun‐An Chen, et al.. (2018). Hormonal, metabolic and skeletal phenotype of Schaaf-Yang syndrome: a comparison to Prader-Willi syndrome. Journal of Medical Genetics. 55(5). 307–315. 29 indexed citations
9.
Wang, Xia, Wu‐Lin Charng, Chun‐An Chen, et al.. (2017). Germline mutations in ABL1 cause an autosomal dominant syndrome characterized by congenital heart defects and skeletal malformations. Nature Genetics. 49(4). 613–617. 41 indexed citations
10.
Chen, Chun‐An, Jiani Yin, Richard A. Lewis, & Christian P. Schaaf. (2017). Genetic causes of optic nerve hypoplasia. Journal of Medical Genetics. 54(7). 441–449. 23 indexed citations
11.
Gennarino, Vincenzo A., Chun‐An Chen, Arindam Chaudhury, et al.. (2015). NUDT21-spanning CNVs lead to neuropsychiatric disease and altered MeCP2 abundance via alternative polyadenylation. eLife. 4. 63 indexed citations
12.
Barajas‐Espinosa, Alma, et al.. (2014). Redox activation of DUSP4 by N-acetylcysteine protects endothelial cells from Cd2+-induced apoptosis. Free Radical Biology and Medicine. 74. 188–199. 20 indexed citations
13.
Witsch, Jens, Przemysław Szafrański, Chun‐An Chen, et al.. (2013). Intragenic deletions of the IGF1 receptor gene in five individuals with psychiatric phenotypes and developmental delay. European Journal of Human Genetics. 21(11). 1304–1307. 10 indexed citations
14.
Chen, Chwen-Lih, Liwen Zhang, Chun‐An Chen, et al.. (2007). Site-Specific S-Glutathiolation of Mitochondrial NADH Ubiquinone Reductase. Biochemistry. 46(19). 5754–5765. 62 indexed citations
15.
16.
Sau, Apurba Kumar, Chun‐An Chen, J. A. Cowan, Shyamalava Mazumdar, & Samaresh Mitra. (2001). Steady-State and Time-Resolved Fluorescence Studies on Wild Type and Mutant Chromatium vinosum High Potential Iron Proteins: Holo- and Apo-Forms. Biophysical Journal. 81(4). 2320–2330. 10 indexed citations
17.
Chen, Chun‐An, et al.. (2000). Functional role of a conserved tryptophan residue of Chromatium vinosum high potential iron protein. Inorganica Chimica Acta. 300-302. 91–95. 1 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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