Marc Ekker

13.5k citations
143 papers · 10.2k indexed · 3 hit papers · h-index 50

Impact in

Papers in

Marc Ekker

143 papers receiving 10.0k citations

Hit Papers

Dysfunction in GABA signalling mediates autism-like stereotypies and Rett syndrome phenotypes 2010 · 901 citations
90119942026200420154008001.2k

Peers

Marc Ekker
Comparison fields: 5 of 143
  • Developmental Neuroscience 1.1k
  • Cell Biology 2.2k
  • Genetics 2.8k
  • Molecular Biology 6.7k
  • Cellular and Molecular Neuroscience 1.6k
Replace Uwe Strähle with:
Uwe Strähle Germany
Judith S Eisen United States
Malcolm Maden United Kingdom
Robert N. Kelsh United Kingdom
William S. Talbot United States
Mary C. Mullins United States
Bernard Thisse France
Christine Thisse France
Bonnie Ullmann United States
Stephan C. F. Neuhauss Switzerland
Marc Ekker relative to Uwe Strähle Germany Uwe Strähle's profile →
Citations per field
00.5×1.5×
Uwe Strähle · 1×
Citations per year

Countries citing papers authored by Marc Ekker

Since Specialization
Citations

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

Fields of papers citing papers by Marc Ekker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Marc Ekker, 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 Marc Ekker Line = papers co-authored together Marc Ekker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20247
2 202135
3 201613
4 201540
5 201516
6 201435
7 201323
8 20076
9 200742
10 200785
11 2007203
12 20053
13 200427
14 2004104
15 200439
16 2003145
17 200049
18
Zebrafish hox Clusters and Vertebrate Genome Evolution
Hit paper breakdown →
19981425
19 199774
20 199617

About Marc Ekker

Marc Ekker is a scholar working on Developmental Neuroscience, Cell Biology, Molecular Biology, Cellular and Molecular Neuroscience and Genetics, having authored 143 papers that have together received 10.2k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (52 papers), Zebrafish Biomedical Research Applications (40 papers), Congenital heart defects research (26 papers), Neurogenesis and neuroplasticity mechanisms (18 papers), Animal Genetics and Reproduction (13 papers), RNA Research and Splicing (13 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (11 papers) and Genomics and Chromatin Dynamics (9 papers). The work is most often cited by research in Developmental Neuroscience (1.1k citations), Cell Biology (2.2k citations), Genetics (2.8k citations), Molecular Biology (6.7k citations) and Cellular and Molecular Neuroscience (1.6k citations). Marc Ekker has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Monte Westerfield, John L.R. Rubenstein, Marie‐Andrée Akimenko, Lucille Joly, Jeremy Wegner, Robert K. Ho, Victoria Prince, Gary Hatch, Angel Amores and John H. Postlethwait. Their work appears in journals such as Developmental Biology, Development, PLoS ONE, Biochemistry and Cell Biology and Proceedings of the National Academy of Sciences.

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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