Sabrina van Heukelum

986 citations
15 papers · 648 indexed · 1 hit paper · h-index 9

Sabrina van Heukelum

15 papers receiving 636 citations

Hit Papers

Social brain, social dysfunction and social withdrawal256201820262020202350100150200250

Peers

Sabrina van Heukelum
Comparison fields: 5 of 102
  • Behavioral Neuroscience 71
  • Cognitive Neuroscience 353
  • Biological Psychiatry 28
  • Cellular and Molecular Neuroscience 165
  • Social Psychology 141
Replace Laetitia Mwilambwe-Tshilobo with:
Laetitia Mwilambwe-Tshilobo United States
Ian A. Mendez United States
T. Lee Gilman United States
A. M. Owen United Kingdom
Guangwei Zhang China
Yana Fandakova Germany
Stacey J. Dubois United States
Zachary T. Pennington United States
Kimberlee D’Ardenne United States
Phoebe Collins United Kingdom
Sabrina van Heukelum relative to Laetitia Mwilambwe-Tshilobo United States Laetitia Mwilambwe-Tshilobo's profile →
Citations per field
00.5×1.5×
Laetitia Mwilambwe-Tshilobo · 1×
Citations per year

Countries citing papers authored by Sabrina van Heukelum

Since Specialization
Citations

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

Fields of papers citing papers by Sabrina van Heukelum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sabrina van Heukelum. 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 Sabrina van Heukelum. The network helps show where Sabrina van Heukelum may publish in the future.

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20243
2 20245
3 20242
4 20211
5 202124
6 2020171
7 20208
8 201915
9 20194
10
Social brain, social dysfunction and social withdrawalbreakdown →
2018256
11 201811
12 201815
13 201736
14 201782
15 201615

About Sabrina van Heukelum

Sabrina van Heukelum is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 15 papers that have together received 648 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Memory and Neural Mechanisms (6 papers), Neuroendocrine regulation and behavior (4 papers), EEG and Brain-Computer Interfaces (4 papers), Neuroscience and Neural Engineering (3 papers), Functional Brain Connectivity Studies (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Behavioral Neuroscience (71 citations), Cognitive Neuroscience (353 citations) and Biological Psychiatry (28 citations). Sabrina van Heukelum has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Jeffrey Glennon, Martha N. Havenith, Jan K. Buitelaar, Christian F. Beckmann, Paul Tiesinga, Brent A. Vogt, Rogier B. Mars, Martin Guthrie, Floriana Mogavero and Gilles van Luijtelaar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Trends in Neurosciences and Current Biology.

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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