Ben Vermaercke

1.3k citations
22 papers · 725 · h-index 15

Impact in

Papers in

Ben Vermaercke

22 papers receiving 719 citations

Peers

Ben Vermaercke
Comparison fields: 5 of 90
  • Developmental Neuroscience 77
  • Cellular and Molecular Neuroscience 294
  • Cognitive Neuroscience 301
  • Behavioral Neuroscience 47
  • Biological Psychiatry 26
Replace Monika Liguz‐Lecznar with:
Monika Liguz‐Lecznar Poland
Guillaume Martel France
Rajeevkumar Raveendran Nair Norway
Rick Shin United States
János Fuzik Sweden
Stephanie M. McTighe United States
Se Joon Choi United States
James Dachtler United Kingdom
Samara Miller United States
Shruti Muralidhar United States
Ben Vermaercke relative to Monika Liguz‐Lecznar Poland Monika Liguz‐Lecznar's profile →
Citations per field
00.5×1.5×
Monika Liguz‐Lecznar · 1×
Citations per year

Countries citing papers authored by Ben Vermaercke

Since Specialization
Citations

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

Fields of papers citing papers by Ben Vermaercke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019129
2 200998
3 200978
4 201372
5 201441
6 201240
7 201335
8 201434
9 201132
10 201427
11 201622
12 201619
13 201416
14 202214
15 201514
16 201712
17 201311
18 20178
19 20248
20 20156

About Ben Vermaercke

Ben Vermaercke is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Physiology, Molecular Biology and Neurology, having authored 22 papers that have together received 725 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (9 papers), Neuroscience and Neuropharmacology Research (6 papers), Neural dynamics and brain function (6 papers), Visual perception and processing mechanisms (6 papers), Alzheimer's disease research and treatments (4 papers), Face Recognition and Perception (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Developmental Neuroscience (77 citations), Cellular and Molecular Neuroscience (294 citations), Cognitive Neuroscience (301 citations), Behavioral Neuroscience (47 citations) and Biological Psychiatry (26 citations). Ben Vermaercke has collaborated with scholars based in Belgium, Germany and United States. Frequent co-authors include Hans Op de Beeck, Rudi D’Hooge, Zsuzsanna Callaerts‐Vegh, Ilse Gantois, Rudi D’Hooge, Nicole Wenderoth, Stephan P. Swinnen, Daniel G. Woolley, Lut Arckens and Detlef Balschun. Their work appears in journals such as Behavioural Brain Research, Neuron, Cerebral Cortex, Neuropharmacology and Nature Communications.

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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