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:

CADA: phenotype-driven gene prioritization based on a case-enriched knowledge graph
Chengyao Peng, Simon Dieck, Alexander Schmid, et al.
NAR Genomics and Bioinformatics (2021) Vol. 3, Iss. 3
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Deep Learning with Graph Convolutional Networks: An Overview and Latest Applications in Computational Intelligence
Uzair Aslam Bhatti, Hao Tang, Guilu Wu, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-28
Open Access | Times Cited: 185

Enhancing phenotype recognition in clinical notes using large language models: PhenoBCBERT and PhenoGPT
Jingye Yang, Cong Liu, Wendy Deng, et al.
Patterns (2023) Vol. 5, Iss. 1, pp. 100887-100887
Open Access | Times Cited: 28

Next-generation phenotyping integrated in a national framework for patients with ultrarare disorders improves genetic diagnostics and yields new molecular findings
Axel Schmidt, Magdalena Danyel, Kathrin Grundmann, et al.
Nature Genetics (2024) Vol. 56, Iss. 8, pp. 1644-1653
Open Access | Times Cited: 10

Prenatal phenotyping: A community effort to enhance the Human Phenotype Ontology
Ferdinand Dhombres, Patricia Morgan, Bimal P. Chaudhari, et al.
American Journal of Medical Genetics Part C Seminars in Medical Genetics (2022) Vol. 190, Iss. 2, pp. 231-242
Open Access | Times Cited: 37

KBG syndrome: videoconferencing and use of artificial intelligence driven facial phenotyping in 25 new patients
Lily Guo, Jiyeon Park, Edward Yi, et al.
European Journal of Human Genetics (2022) Vol. 30, Iss. 11, pp. 1244-1254
Open Access | Times Cited: 23

Biomedical discovery through the integrative biomedical knowledge hub (iBKH)
Chang Su, Yu Hou, Manqi Zhou, et al.
iScience (2023) Vol. 26, Iss. 4, pp. 106460-106460
Open Access | Times Cited: 15

KG-Hub—building and exchanging biological knowledge graphs
J. Harry Caufield, Tim Putman, Kevin Schaper, et al.
Bioinformatics (2023) Vol. 39, Iss. 7
Open Access | Times Cited: 13

A corpus of GA4GH Phenopackets: case-level phenotyping for genomic diagnostics and discovery
Daniel Daniš, Michael J Bamshad, Yasemin Bridges, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4

Next-generation phenotyping integrated in a national framework for patients with ultra-rare disorders improves genetic diagnostics and yields new molecular findings
Axel Schmidt, Magdalena Danyel, Kathrin Grundmann, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 10

The future role of facial image analysis in ACMG classification guidelines
Hellen Lesmann, Hannah Klinkhammer, Prof. Dr. med. Dipl. Phys. Peter M. Krawitz
Medizinische Genetik (2023) Vol. 35, Iss. 2, pp. 115-121
Open Access | Times Cited: 10

Towards a standard benchmark for variant and gene prioritisation algorithms: PhEval - Phenotypic inference Evaluation framework
Yasemin Bridges, Vinícius de Souza, Katherina G Cortes, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3

GA4GH Phenopackets: A Practical Introduction
Markus S. Ladewig, Julius O.B. Jacobsen, Alex H. Wagner, et al.
Advanced Genetics (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 15

STIGMA: Single-cell tissue-specific gene prioritization using machine learning
Saranya Balachandran, Cesar A. Prada‐Medina, Martin A. Mensah, et al.
The American Journal of Human Genetics (2024) Vol. 111, Iss. 2, pp. 338-349
Open Access | Times Cited: 2

REEV: review, evaluate and explain variants
Dzmitry Hramyka, Henrike L. Sczakiel, Max Zhao, et al.
Nucleic Acids Research (2024) Vol. 52, Iss. W1, pp. W148-W158
Open Access | Times Cited: 2

PhenoSV: interpretable phenotype-aware model for the prioritization of genes affected by structural variants
Zhuoran Xu, Quan Li, Luigi Marchionni, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 6

The GA4GH Phenopacket schema: A computable representation of clinical data for precision medicine
Julius O.B. Jacobsen, Michael Baudis, Gareth Baynam, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 13

Next‐generation phenotyping contributing to the identification of a 4.7 kb deletion in KANSL1 causing Koolen‐de Vries syndrome
Fabian Brand, Aswinkumar Vijayananth, Tzung‐Chien Hsieh, et al.
Human Mutation (2022) Vol. 43, Iss. 11, pp. 1659-1665
Open Access | Times Cited: 7

Biomedical Discovery through the integrative Biomedical Knowledge Hub (iBKH)
Chang Su, Yu Hou, Suraj Rajendran, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 5

Learning phenotypic patterns in genetic diseases by symptom interaction modeling
Kévin Yauy, Nicolas Duforet-Frebourg, Quentin Testard, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3

Enhancing Variant Prioritization in VarFish through On-Premise Computational Facial Analysis
Meghna Ahuja Bhasin, Alexej Knaus, Pietro Incardona, et al.
Genes (2024) Vol. 15, Iss. 3, pp. 370-370
Open Access

A new model construction based on the knowledge graph for mining elite polyphenotype genes in crops
Dandan Zhang, Ruixue Zhao, Guojian Xian, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access

Phenolinker: Phenotype-Gene Link Prediction and Explanation Using Heterogeneous Graph Neural Networks
Jose Luis Mellina Andreu, Luis Bernal Escobedo, Antonio Skármeta, et al.
(2024)
Open Access

Next‐generation phenotyping in Nigerian children with Cornelia de Lange syndrome
Annabelle Arlt, Alexej Knaus, Tzung‐Chien Hsieh, et al.
American Journal of Medical Genetics Part A (2024) Vol. 194, Iss. 9
Open Access

Protocol to implement a computational pipeline for biomedical discovery based on a biomedical knowledge graph
Chang Su, Yu Hou, Michael Levin, et al.
STAR Protocols (2023) Vol. 4, Iss. 4, pp. 102666-102666
Open Access | Times Cited: 1

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