Linyan Meng

3.3k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

Linyan Meng is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Linyan Meng has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 7 papers in Molecular Biology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Linyan Meng's work include Genetic Syndromes and Imprinting (6 papers), Genomics and Rare Diseases (4 papers) and Epigenetics and DNA Methylation (3 papers). Linyan Meng is often cited by papers focused on Genetic Syndromes and Imprinting (6 papers), Genomics and Rare Diseases (4 papers) and Epigenetics and DNA Methylation (3 papers). Linyan Meng collaborates with scholars based in United States, Canada and Germany. Linyan Meng's co-authors include Arthur L. Beaudet, Richard Person, Amanda J. Ward, C. Frank Bennett, Frank Rigo, Seung Chun, Vicky Tagalakis, Éric Fombonne, Xun Zhang and David McGillivray and has published in prestigious journals such as Nature, Cancer Research and Human Molecular Genetics.

In The Last Decade

Linyan Meng

16 papers receiving 1.1k citations

Hit Papers

Towards a therapy for Angelman syndrome by targeting a lo... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linyan Meng United States 10 610 445 244 207 138 16 1.1k
Michael Harbord Australia 19 354 0.6× 424 1.0× 17 0.1× 77 0.4× 56 0.4× 49 1.1k
Tessel E. Galesloot Netherlands 16 142 0.2× 228 0.5× 27 0.1× 130 0.6× 38 0.3× 30 962
Sarah M. Nikkel Canada 19 358 0.6× 318 0.7× 53 0.2× 43 0.2× 47 0.3× 41 1.0k
Yanchun Bao United Kingdom 12 441 0.7× 268 0.6× 54 0.2× 35 0.2× 30 0.2× 32 859
Jacqueline Hewitt Australia 13 268 0.4× 267 0.6× 102 0.4× 55 0.3× 13 0.1× 24 684
Julie‐Anne Little United Kingdom 19 167 0.3× 164 0.4× 24 0.1× 192 0.9× 68 0.5× 58 1.2k
Kandamurugu Manickam United States 15 280 0.5× 551 1.2× 58 0.2× 150 0.7× 39 0.3× 34 928
Teresa Wong United States 11 97 0.2× 53 0.1× 25 0.1× 231 1.1× 86 0.6× 18 773
Alicia Hurtado Spain 13 204 0.3× 104 0.2× 101 0.4× 14 0.1× 50 0.4× 30 749
E. Magda Price Canada 12 755 1.2× 302 0.7× 80 0.3× 18 0.1× 99 0.7× 19 1.0k

Countries citing papers authored by Linyan Meng

Since Specialization
Citations

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

Fields of papers citing papers by Linyan Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linyan Meng. 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 Linyan Meng. The network helps show where Linyan Meng may publish in the future.

Co-authorship network of co-authors of Linyan Meng

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

All Works

16 of 16 papers shown
1.
Dai, Hongzheng, Yanming Feng, William J. Craigen, et al.. (2025). Experiences from dual genome next-generation sequencing panel testing for mitochondrial disorders: a comprehensive molecular diagnosis. Frontiers in Genetics. 16. 1488956–1488956. 1 indexed citations
2.
Meng, Linyan, Tomer Talmy, Pola Smirin‐Yosef, et al.. (2023). Evaluation of an automated genome interpretation model for rare disease routinely used in a clinical genetic laboratory. Genetics in Medicine. 25(6). 100830–100830. 14 indexed citations
3.
Kumar, Runjun D., Linyan Meng, Pengfei Liu, et al.. (2022). Clinical exome sequencing uncovers a high frequency of Mendelian disorders in infants with stroke: A retrospective analysis. American Journal of Medical Genetics Part A. 188(11). 3184–3190. 3 indexed citations
4.
Liu, Pengfei, Weimin Bi, Xia Wang, et al.. (2021). Contribution of uniparental disomy in a clinical trio exome cohort of 2675 patients. Molecular Genetics & Genomic Medicine. 9(11). e1792–e1792. 6 indexed citations
5.
McKnight, Dianalee, Lora Jh Bean, Izabela Karbassi, et al.. (2021). Recommendations by the ClinGen Rett/Angelman‐like expert panel for gene‐specific variant interpretation methods. Human Mutation. 43(8). 1097–1113. 8 indexed citations
6.
Meng, Linyan, Dale Muzzey, Katherine Johansen Taber, et al.. (2020). Clinical validity of expanded carrier screening: Evaluating the gene‐disease relationship in more than 200 conditions. Human Mutation. 41(8). 1365–1371. 7 indexed citations
7.
Gu, Shen, Chun‐An Chen, Jill A. Rosenfeld, et al.. (2019). Truncating variants in UBAP1 associated with childhood‐onset nonsyndromic hereditary spastic paraplegia. Human Mutation. 41(3). 632–640. 15 indexed citations
8.
Meng, Linyan, Taraka Donti, Fan Xia, et al.. (2016). Homozygous variants in pyrroline‐5‐carboxylate reductase 2 (PYCR2) in patients with progressive microcephaly and hypomyelinating leukodystrophy. American Journal of Medical Genetics Part A. 173(2). 460–470. 15 indexed citations
9.
Meng, Linyan, Amanda J. Ward, C. Frank Bennett, Arthur L. Beaudet, & Frank Rigo. (2016). Abstract IA28: Towards a therapy for Angelman syndrome by targeting a long noncoding RNA to active UBE3A. Cancer Research. 76(6_Supplement). IA28–IA28. 3 indexed citations
10.
Beaudet, Arthur L. & Linyan Meng. (2015). Gene-targeting pharmaceuticals for single-gene disorders. Human Molecular Genetics. 25(R1). R18–R26. 31 indexed citations
11.
Meng, Linyan, Amanda J. Ward, Seung Chun, et al.. (2014). Towards a therapy for Angelman syndrome by targeting a long non-coding RNA. Nature. 518(7539). 409–412. 378 indexed citations breakdown →
12.
Meng, Linyan, Richard Person, Wei Huang, et al.. (2013). Truncation of Ube3a-ATS Unsilences Paternal Ube3a and Ameliorates Behavioral Defects in the Angelman Syndrome Mouse Model. PLoS Genetics. 9(12). e1004039–e1004039. 118 indexed citations
13.
Meng, Linyan, Richard Person, & Arthur L. Beaudet. (2012). Ube3a-ATS is an atypical RNA polymerase II transcript that represses the paternal expression of Ube3a. Human Molecular Genetics. 21(13). 3001–3012. 148 indexed citations
14.
Tagalakis, Vicky, et al.. (2007). Social Skills Training for Adolescents with Asperger Syndrome and High-Functioning Autism. Journal of Autism and Developmental Disorders. 37(10). 1960–1968. 159 indexed citations
15.
Ducharme, Francine M., Dominic Chalut, Laurie H. Plotnick, et al.. (2007). The Pediatric Respiratory Assessment Measure: A Valid Clinical Score for Assessing Acute Asthma Severity from Toddlers to Teenagers. The Journal of Pediatrics. 152(4). 476–480.e1. 174 indexed citations
16.
Chapados, Nicolas, Yoshua Bengio, Pascal Vincent, et al.. (2001). Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference. Neural Information Processing Systems. 14. 1369–1376. 12 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026