Geert Mortier

22.9k total citations · 4 hit papers
222 papers, 10.5k citations indexed

About

Geert Mortier is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Geert Mortier has authored 222 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Genetics, 85 papers in Molecular Biology and 40 papers in Oncology. Recurrent topics in Geert Mortier's work include Connective tissue disorders research (70 papers), Bone health and treatments (32 papers) and Genomic variations and chromosomal abnormalities (28 papers). Geert Mortier is often cited by papers focused on Connective tissue disorders research (70 papers), Bone health and treatments (32 papers) and Genomic variations and chromosomal abnormalities (28 papers). Geert Mortier collaborates with scholars based in Belgium, United States and Germany. Geert Mortier's co-authors include Jan Hellemans, Frank Speleman, Jo Vandesompele, Anne De Paepe, Valérie Cormier‐Daire, Michael D. Briggs, Gen Nishimura, Andrea Superti‐Furga, Ravi Savarirayan and David L. Rimoin and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Geert Mortier

215 papers receiving 10.3k citations

Hit Papers

qBase relative quantification framework and software for ... 2007 2026 2013 2019 2007 2011 2019 2015 1000 2.0k 3.0k
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. qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data
    2007 3.4k citations Geert Mortier et al. profile →
  2. Nosology and classification of genetic skeletal disorders: 2010 revision
    2011 450 citations Matthew L. Warman, Valérie Cormier‐Daire et al. American Journal of Medical Genetics Part A profile →
  3. Nosology and classification of genetic skeletal disorders: 2019 revision
    2019 379 citations Geert Mortier, Valérie Cormier‐Daire et al. American Journal of Medical Genetics Part A profile →
  4. Nosology and classification of genetic skeletal disorders: 2015 revision
    2015 367 citations Luisa Bonafé, Valérie Cormier‐Daire et al. American Journal of Medical Genetics Part A profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geert Mortier Belgium 45 5.0k 4.1k 1.5k 936 926 222 10.5k
Gregory M. Cooper United States 46 8.5k 1.7× 7.5k 1.8× 728 0.5× 557 0.6× 1.0k 1.1× 180 16.0k
Hidetoshi Inoko Japan 64 3.3k 0.7× 2.4k 0.6× 2.0k 1.4× 797 0.9× 471 0.5× 485 15.3k
Takashi Shimada Japan 57 6.9k 1.4× 5.7k 1.4× 1.4k 1.0× 2.1k 2.3× 347 0.4× 318 17.3k
Jean‐François Nicolas France 62 5.8k 1.2× 2.3k 0.6× 1.3k 0.9× 787 0.8× 390 0.4× 433 14.8k
Bruce Poppe Belgium 33 10.4k 2.1× 2.6k 0.6× 540 0.4× 1.1k 1.2× 2.4k 2.6× 83 19.1k
David R. Beier United States 58 7.1k 1.4× 3.4k 0.8× 410 0.3× 1.4k 1.4× 327 0.4× 175 13.7k
Jean Weissenbach France 66 13.8k 2.8× 7.1k 1.8× 1.4k 0.9× 831 0.9× 2.1k 2.3× 183 24.5k
Anne De Paepe Belgium 37 10.7k 2.1× 2.8k 0.7× 672 0.5× 1.5k 1.6× 2.5k 2.7× 82 20.4k
Subburaman Mohan United States 72 8.7k 1.7× 3.6k 0.9× 1.4k 0.9× 2.5k 2.7× 246 0.3× 366 18.0k
Göran Andersson Sweden 40 3.2k 0.6× 3.6k 0.9× 535 0.4× 953 1.0× 333 0.4× 187 8.3k

Countries citing papers authored by Geert Mortier

Since Specialization
Citations

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

Fields of papers citing papers by Geert Mortier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geert Mortier

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

All Works

20 of 20 papers shown
1.
Ridder, R. de, et al.. (2023). Genetic Screening of ZNF687 and PFN1 in a Paget’s Disease of Bone Cohort Indicates an Important Role for the Nuclear Localization Signal of ZNF687. Calcified Tissue International. 113(5). 552–557. 1 indexed citations
2.
Lebrun, Marielle, Pieter Meysman, Catherine Sadzot‐Delvaux, et al.. (2022). Activation of Interferon-Stimulated Genes following Varicella-Zoster Virus Infection in a Human iPSC-Derived Neuronal In Vitro Model Depends on Exogenous Interferon-α. Viruses. 14(11). 2517–2517. 2 indexed citations
3.
Elias, George, Pieter Meysman, Esther Bartholomeus, et al.. (2022). Preexisting memory CD4 T cells in naïve individuals confer robust immunity upon hepatitis B vaccination. eLife. 11. 11 indexed citations
4.
Boudin, Eveline, Gretl Hendrickx, Neveen A. T. Hamdy, et al.. (2021). Identification of Compound Heterozygous Variants in LRP4 Demonstrates That a Pathogenic Variant outside the Third β-Propeller Domain Can Cause Sclerosteosis. Genes. 13(1). 80–80. 3 indexed citations
5.
Fransén, Erik, Manou Sommen, R. de Ridder, et al.. (2021). Resequencing of candidate genes for Keratoconus reveals a role for Ehlers–Danlos Syndrome genes. European Journal of Human Genetics. 29(12). 1745–1755. 12 indexed citations
6.
Meester, Josephina, Bart Loeys, Elvire Gouze, et al.. (2020). Differentiation of Induced Pluripotent Stem Cells Into Chondrocytes: Methods and Applications for Disease Modeling and Drug Discovery. Journal of Bone and Mineral Research. 37(3). 397–410. 14 indexed citations
7.
Mortier, Geert, et al.. (2019). Une patiente avec des os denses. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
8.
Ridder, R. de, Eveline Boudin, Geert Vandeweyer, et al.. (2019). Genetic Variation in RIN3 in the Belgian Population Supports Its Involvement in the Pathogenesis of Paget’s Disease of Bone and Modifies the Age of Onset. Calcified Tissue International. 104(6). 613–621. 5 indexed citations
9.
Girisha, Katta M., Gandham SriLakshmi Bhavani, Hitesh Shah, et al.. (2019). Biallelic variants p.Arg1133Cys and p.Arg1379Cys in COL2A1: Further delineation of phenotypic spectrum of recessive Type 2 collagenopathies. American Journal of Medical Genetics Part A. 182(2). 338–347. 5 indexed citations
10.
Narayanan, Dhanya Lakshmi, et al.. (2018). Report of second case and clinical and molecular characterization of Eiken syndrome. Clinical Genetics. 94(5). 457–460. 11 indexed citations
11.
Neuter, Nicolas De, Esther Bartholomeus, George Elias, et al.. (2018). Memory CD4+ T cell receptor repertoire data mining as a tool for identifying cytomegalovirus serostatus. Genes and Immunity. 20(3). 255–260. 13 indexed citations
12.
Helsmoortel, Céline, Sigrid Swagemakers, Geert Vandeweyer, et al.. (2016). Whole genome sequencing of a dizygotic twin suggests a role for the serotonin receptor HTR7 in autism spectrum disorder. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 171(8). 1049–1056. 9 indexed citations
13.
Bonafé, Luisa, Valérie Cormier‐Daire, Christine M Hall, et al.. (2015). Nosology and classification of genetic skeletal disorders: 2015 revision. American Journal of Medical Genetics Part A. 167(12). 2869–2892. 367 indexed citations breakdown →
14.
Ghassibe‐Sabbagh, Michella, Nicole Revençu, Odile Boute, et al.. (2012). IRF6 Screening of Syndromic and a priori Non-Syndromic Cleft Lip and Palate Patients: Identification of a New Type of Minor VWS Sign. Data Archiving and Networked Services (DANS). 59. 1 indexed citations
15.
Cosyns, Marjan, et al.. (2010). Speech disorders in neurofibromatosis type 1: a sample survey. International Journal of Language & Communication Disorders. 45(5). 600–607. 10 indexed citations
16.
Vermeesch, Joris, Bernard Thienpont, Thomy de Ravel, et al.. (2006). Emerging patterns of cryptic chromosomal imbalances in patients with idiopathic mental retardation and multiple congenital anomalies. European Journal of Human Genetics. 14. 182. 1 indexed citations
17.
Menten, Björn, Cindy Melotte, Bernard Thienpont, et al.. (2005). Molecular karkyotyping detecs structural low grade mosaics in 4 % of patietns with idiopathic mental retardation and multiple congenital aberrations. European Journal of Human Genetics. 13. 63. 2 indexed citations
18.
Mortier, Geert. (2005). The diagnosis of a skeletal dysplasia: only for the eyes of a radiologist or in the hands of a clinical geneticist?. Journal of Medical Genetics. 42. 37. 2 indexed citations
19.
Mortier, Geert, et al.. (2001). Carrier Screening for Cystic Fibrosis in a Prenatal Setting. Genetic Testing. 5(2). 117–125. 11 indexed citations
20.
Devriendt, Koenraad, et al.. (1999). The incidence of DiGeorge/Velo-Cardio-Facial syndrome. 3 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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