Bert H.J. Eussen

3.2k citations
23 papers · 2.2k indexed · 1 hit paper · h-index 12

Bert H.J. Eussen

23 papers receiving 2.2k citations

Hit Papers

Domain organization of human chromosomes revealed by mapp...1.4k20082026201420204008001.2k

Peers

Bert H.J. Eussen
Comparison fields: 5 of 94
  • Molecular Biology 1.7k
  • Genetics 572
  • Aging 18
  • Plant Science 355
  • Cancer Research 138
Replace Guy Froyen with:
Guy Froyen Belgium
Angela Maria Vianna‐Morgante Brazil
Svetlana A. Yatsenko United States
Cédric Le Caignec France
Giuseppe Pilia United States
David J. Picketts Canada
M Prieur France
Tatsuya Kishino Japan
Fikret Erdogan Germany
Maria Antonietta Mencarelli Italy
Bert H.J. Eussen relative to Guy Froyen Belgium Guy Froyen's profile →
Citations per field
00.5×1.5×
Guy Froyen · 1×
Citations per year

Countries citing papers authored by Bert H.J. Eussen

Since Specialization
Citations

This map shows the geographic impact of Bert H.J. 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 H.J. 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 H.J. Eussen more than expected).

Fields of papers citing papers by Bert H.J. Eussen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Bert H.J. Eussen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bert H.J. Eussen Line = papers co-authored together Bert H.J. Eussen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20179
2 20175
3 201539
4 20096
5
Domain organization of human chromosomes revealed by mapping of nuclear lamina interactionsbreakdown →
20081418
6 20068
7 20058
8 2003172
9 200312
10 20035
11 2002167
12 2002157
13 20015
14 200031
15 19991
16 199912
17 199911
18 199854
19 19958
20 199211

About Bert H.J. Eussen

Bert H.J. Eussen is a scholar working on Developmental Biology, Genetics, Developmental Neuroscience, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 23 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (6 papers), Genomics and Chromatin Dynamics (5 papers), Prenatal Screening and Diagnostics (4 papers), Congenital heart defects research (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Tuberous Sclerosis Complex Research (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers) and Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Genetics (572 citations), Aging (18 citations), Plant Science (355 citations) and Cancer Research (138 citations). Bert H.J. Eussen has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Annelies de Klein, Ludo Pagie, Lodewyk F.A. Wessels, Lars Guelen, Wouter Meuleman, Bas van Steensel, Marius B. Faza, Wendy Talhout, Wouter de Laat and Émilie Brasset. Their work appears in journals such as European Journal of Medical Genetics, Journal of Medical Genetics, Nature, Genomics and European Journal of Cancer.

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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