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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Improving the diagnostic yield of exome- sequencing by predicting gene–phenotype associations using large-scale gene expression analysis
Patrick Deelen, Sipko van Dam, Johanna C. Herkert, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 126

Showing 1-25 of 126 citing articles:

Evidence for 28 genetic disorders discovered by combining healthcare and research data
Joanna Kaplanis, Kaitlin E. Samocha, Laurens Wiel, et al.
Nature (2020) Vol. 586, Iss. 7831, pp. 757-762
Open Access | Times Cited: 501
Common and rare variant association analyses in amyotrophic lateral sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology
Wouter van Rheenen, Rick A. A. van der Spek, Mark K. Bakker, et al.
Nature Genetics (2021) Vol. 53, Iss. 12, pp. 1636-1648
Open Access | Times Cited: 386
Genetic insights into biological mechanisms governing human ovarian ageing
Katherine S. Ruth, Felix R. Day, Jazib Hussain, et al.
Nature (2021) Vol. 596, Iss. 7872, pp. 393-397
Open Access | Times Cited: 294
GREIN: An Interactive Web Platform for Re-analyzing GEO RNA-seq Data
Naim Al Mahi, Mehdi Fazel Najafabadi, Marcin Pilarczyk, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 170
Brain expression quantitative trait locus and network analyses reveal downstream effects and putative drivers for brain-related diseases
Niek de Klein, Ellen Tsai, Martijn Vochteloo, et al.
Nature Genetics (2023) Vol. 55, Iss. 3, pp. 377-388
Open Access | Times Cited: 145
A first update on mapping the human genetic architecture of COVID-19
Gita A. Pathak, Juha Karjalainen, Christine Stevens, et al.
Nature (2022) Vol. 608, Iss. 7921, pp. E1-E10
Open Access | Times Cited: 140
A practical view of fine-mapping and gene prioritization in the post-genome-wide association era
Roeland Broekema, Olivier B. Bakker, Iris H. Jonkers
Open Biology (2020) Vol. 10, Iss. 1, pp. 190221-190221
Open Access | Times Cited: 110
Successful application of genome sequencing in a diagnostic setting: 1007 index cases from a clinically heterogeneous cohort
Aida M. Bertoli‐Avella, Christian Beetz, Najim Ameziane, et al.
European Journal of Human Genetics (2020) Vol. 29, Iss. 1, pp. 141-153
Open Access | Times Cited: 100
Genetic regulatory variation in populations informs transcriptome analysis in rare disease
Pejman Mohammadi, Stephane E. Castel, Beryl B. Cummings, et al.
Science (2019) Vol. 366, Iss. 6463, pp. 351-356
Open Access | Times Cited: 97
Transcriptome-wide association study of attention deficit hyperactivity disorder identifies associated genes and phenotypes
Calwing Liao, Alexandre D. Laporte, Dan Spiegelman, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 77
Chromosomal copy number heterogeneity predicts survival rates across cancers
Erik van Dijk, Tom van den Bosch, Kristiaan Lenos, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 62
Phenotype‐driven approaches to enhance variant prioritization and diagnosis of rare disease
Julius O.B. Jacobsen, Catherine Kelly, Valentina Cipriani, et al.
Human Mutation (2022) Vol. 43, Iss. 8, pp. 1071-1081
Open Access | Times Cited: 42
Structural and non-coding variants increase the diagnostic yield of clinical whole genome sequencing for rare diseases
Alistair T. Pagnamenta, Carlos Camps, Edoardo Giacopuzzi, et al.
Genome Medicine (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 31
Deep structured learning for variant prioritization in Mendelian diseases
Matt C. Danzi, Maike F. Dohrn, Sarah Fazal, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 28
Phen2Gene: rapid phenotype-driven gene prioritization for rare diseases
Mengge Zhao, James M. Havrilla, Fang Li, et al.
NAR Genomics and Bioinformatics (2020) Vol. 2, Iss. 2
Open Access | Times Cited: 68
The diagnosis of inborn errors of metabolism by an integrative “multi‐omics” approach: A perspective encompassing genomics, transcriptomics, and proteomics
Sarah L. Stenton, Laura S. Kremer, Robert Kopajtich, et al.
Journal of Inherited Metabolic Disease (2019) Vol. 43, Iss. 1, pp. 25-35
Closed Access | Times Cited: 61
Brain expression quantitative trait locus and network analysis reveals downstream effects and putative drivers for brain-related diseases
Niek de Klein, Ellen Tsai, Martijn Vochteloo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 49
Multi-Omics Approaches in Immunological Research
Xiaojing Chu, Bowen Zhang, Valerie A. C. M. Koeken, et al.
Frontiers in Immunology (2021) Vol. 12
Open Access | Times Cited: 48
Transcriptome-wide association study identifies new susceptibility genes and pathways for depression
Xiaoyan Li, Xi Su, Jiewei Liu, et al.
Translational Psychiatry (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 47
Evaluation of phenotype-driven gene prioritization methods for Mendelian diseases
Xiao Yuan, Jing Wang, Bing Tian Dai, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Open Access | Times Cited: 33
Association of Essential Tremor With Novel Risk Loci
Calwing Liao, Charles-Etienne Castonguay, Karl Heilbron, et al.
JAMA Neurology (2022) Vol. 79, Iss. 2, pp. 185-185
Open Access | Times Cited: 29
Multi-layered genetic approaches to identify approved drug targets
Marie C. Sadler, Chiara Auwerx, Patrick Deelen, et al.
Cell Genomics (2023) Vol. 3, Iss. 7, pp. 100341-100341
Open Access | Times Cited: 21
Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
Shuang Li, Katharina T. Schmid, Dylan H. de Vries, et al.
Genome biology (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 17
Gene regulatory networks in disease and ageing
Paula Unger Avila, Tsimafei Padvitski, Ana Carolina Leote, et al.
Nature Reviews Nephrology (2024) Vol. 20, Iss. 9, pp. 616-633
Closed Access | Times Cited: 7
The genomic and clinical landscape of fetal akinesia
Matthias Pergande, Susanne Motameny, Özkan Özdemir, et al.
Genetics in Medicine (2019) Vol. 22, Iss. 3, pp. 511-523
Open Access | Times Cited: 50
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