Bert Eussen

761 total citations
18 papers, 569 citations indexed

About

Bert Eussen is a scholar working on Molecular Biology, Ophthalmology and Surgery. According to data from OpenAlex, Bert Eussen has authored 18 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Ophthalmology and 5 papers in Surgery. Recurrent topics in Bert Eussen's work include Ocular Oncology and Treatments (6 papers), Genomic variations and chromosomal abnormalities (4 papers) and Pluripotent Stem Cells Research (3 papers). Bert Eussen is often cited by papers focused on Ocular Oncology and Treatments (6 papers), Genomic variations and chromosomal abnormalities (4 papers) and Pluripotent Stem Cells Research (3 papers). Bert Eussen collaborates with scholars based in Netherlands, United States and Germany. Bert Eussen's co-authors include Annelies de Klein, Jolanda Vaarwater, Emine Kılıç, Dion Paridaens, Robert M. Verdijk, Serdar Yavuzyiğitoğlu, Anna E. Koopmans, Harmen J.G. van de Werken, Melissa Lopez-Jones and Robert H. Singer and has published in prestigious journals such as PLoS ONE, Nature Cell Biology and Brain.

In The Last Decade

Bert Eussen

18 papers receiving 566 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bert Eussen Netherlands 11 317 241 111 109 92 18 569
Gwendolyn M. Mahon United States 16 408 1.3× 65 0.3× 135 1.2× 91 0.8× 32 0.3× 21 786
Béryl Royer‐Bertrand Switzerland 12 268 0.8× 166 0.7× 100 0.9× 115 1.1× 160 1.7× 17 515
Joseph W. Towner United States 9 324 1.0× 204 0.8× 41 0.4× 179 1.6× 313 3.4× 17 660
Leslie Boghosian-Sell United States 9 320 1.0× 40 0.2× 87 0.8× 105 1.0× 124 1.3× 10 536
Joseph K. Hsu United States 14 267 0.8× 109 0.5× 14 0.1× 63 0.6× 28 0.3× 14 483
Qing‐Shuo Zhang United States 11 656 2.1× 33 0.1× 47 0.4× 109 1.0× 76 0.8× 20 804
Jeff Bailey United States 15 414 1.3× 35 0.1× 57 0.5× 94 0.9× 135 1.5× 26 636
Jawahir Y. Mohamed Saudi Arabia 15 512 1.6× 211 0.9× 28 0.3× 34 0.3× 239 2.6× 20 849
Muneera Alshammari Saudi Arabia 14 473 1.5× 44 0.2× 39 0.4× 35 0.3× 406 4.4× 18 749
Ming Cao United States 12 175 0.6× 33 0.1× 186 1.7× 131 1.2× 46 0.5× 21 553

Countries citing papers authored by Bert Eussen

Since Specialization
Citations

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

Fields of papers citing papers by Bert Eussen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bert Eussen

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

All Works

18 of 18 papers shown
1.
Franken, Marnix, Erik van der Wal, Bianca den Hamer, et al.. (2024). Three-dimensional tissue engineered skeletal muscle modelling facioscapulohumeral muscular dystrophy. Brain. 148(5). 1723–1739. 3 indexed citations
2.
Riet, Job van, Kyra N. Smit, Natasha M. van Poppelen, et al.. (2022). Identification of Early-Onset Metastasis in SF3B1 Mutated Uveal Melanoma. Cancers. 14(3). 846–846. 13 indexed citations
3.
Poppelen, Natasha M. van, Jolanda Vaarwater, Bert Eussen, et al.. (2021). Molecular Genetics of Conjunctival Melanoma and Prognostic Value of TERT Promoter Mutation Analysis. International Journal of Molecular Sciences. 22(11). 5784–5784. 24 indexed citations
4.
Wal, Erik van der, Bianca den Hamer, Patrick J. van der Vliet, et al.. (2019). Generation of genetically matched hiPSC lines from two mosaic facioscapulohumeral dystrophy type 1 patients. Stem Cell Research. 40. 101560–101560. 5 indexed citations
5.
Graaf, Linda M. van der, Sarah L. Gardiner, Merel W. Boogaard, et al.. (2019). Generation of 5 induced pluripotent stem cell lines, LUMCi007-A and B and LUMCi008-A, B and C, from 2 patients with Huntington disease. Stem Cell Research. 39. 101498–101498. 3 indexed citations
6.
Yavuzyiğitoğlu, Serdar, Askar Obulkasim, Job van Riet, et al.. (2019). Multi-Modality Analysis Improves Survival Prediction in Enucleated Uveal Melanoma Patients. Investigative Ophthalmology & Visual Science. 60(10). 3595–3595. 12 indexed citations
7.
8.
Buijsen, Ronald A.M., Simone van de Pas, Harald Mikkers, et al.. (2018). Generation of 3 human induced pluripotent stem cell lines LUMCi005-A, B and C from a Hereditary Cerebral Hemorrhage with Amyloidosis-Dutch type patient. Stem Cell Research. 34. 101359–101359. 6 indexed citations
9.
Poppelen, Natasha M. van, Serdar Yavuzyiğitoğlu, Kyra N. Smit, et al.. (2018). Chromosomal rearrangements in uveal melanoma: Chromothripsis. Genes Chromosomes and Cancer. 57(9). 452–458. 5 indexed citations
10.
Yavuzyiğitoğlu, Serdar, Kyra N. Smit, Anna E. Koopmans, et al.. (2016). Correlation of Gene Mutation Status with Copy Number Profile in Uveal Melanoma. Ophthalmology. 124(4). 573–575. 24 indexed citations
11.
Yavuzyiğitoğlu, Serdar, Anna E. Koopmans, Robert M. Verdijk, et al.. (2016). Uveal Melanomas with SF3B1 Mutations. Ophthalmology. 123(5). 1118–1128. 190 indexed citations
12.
Mathijssen, Irene M.J., Jeannette Hoogeboom, Pino J. Poddighe, et al.. (2013). Complex craniosynostosis is associated with the 2p15p16.1 microdeletion syndrome. American Journal of Medical Genetics Part A. 161(2). 244–253. 15 indexed citations
13.
Noordermeer, Daan, Elzo de Wit, Petra Klous, et al.. (2011). Variegated gene expression caused by cell-specific long-range DNA interactions. Nature Cell Biology. 13(8). 944–951. 120 indexed citations
14.
Oegema, Renske, Annelies de Klein, Annemieke J.M.H. Verkerk, et al.. (2010). Distinctive Phenotypic Abnormalities Associated with Submicroscopic 21q22 Deletion Including DYRK1A. Molecular Syndromology. 1(3). 113–120. 39 indexed citations
15.
Veenma, Danielle, Hannie Douben, Bert Eussen, et al.. (2010). Comparable Low-Level Mosaicism in Affected and Non Affected Tissue of a Complex CDH Patient. PLoS ONE. 5(12). e15348–e15348. 10 indexed citations
16.
Ramos, Liliana, P.M.M. Kastrop, Bert Eussen, et al.. (1999). R-172. Aneuploidy rates in human spermatozoa from patients with severe OAT: correlation between phenotype and genotype. Human Reproduction. 14(Suppl_3). 355–356. 1 indexed citations
17.
Hermans, M M, Esther de Graaff, Marian A. Kroos, et al.. (1994). The effect of a single base pair deletion (ΔT525) and a C1634T missense mutation (pro545leu) on the expression of lysosomal α-glucosidase in patients with glycogen storage disease type II. Human Molecular Genetics. 3(12). 2213–2218. 54 indexed citations
18.
Hemel, J. O. Van, Bert Eussen, Eveline Wesby–van Swaay, & B. A. Oostra. (1992). Molecular detection of a translocation (Y;11)(q11.2;q24) in a 45,X male with signs of Jacobsen syndrome. Human Genetics. 88(6). 661–667. 26 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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