Joost Wiskerke

34 total papers · 1.3k total citations
20 papers, 951 citations indexed

About

Joost Wiskerke is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Pharmacology. According to data from OpenAlex, Joost Wiskerke has authored 20 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 10 papers in Cognitive Neuroscience and 6 papers in Pharmacology. Recurrent topics in Joost Wiskerke's work include Neurotransmitter Receptor Influence on Behavior (15 papers), Neuroscience and Neuropharmacology Research (8 papers) and Cannabis and Cannabinoid Research (6 papers). Joost Wiskerke is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (15 papers), Neuroscience and Neuropharmacology Research (8 papers) and Cannabis and Cannabinoid Research (6 papers). Joost Wiskerke collaborates with scholars based in Netherlands, United States and Sweden. Joost Wiskerke's co-authors include Tommy Pattij, Anton N. M. Schoffelmeer, Taco J. De Vries, Dustin Schetters, Loren H. Parsons, Cristina Irimia, Dick J. Veltman, Eco J. C. de Geus, Wim van den Brink and Thomas Chuen Lam and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Current Biology.

In The Last Decade

Joost Wiskerke

20 papers receiving 940 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Joost Wiskerke 622 333 274 156 109 20 951
Michael E. Ballard 340 0.5× 370 1.1× 144 0.5× 157 1.0× 68 0.6× 24 827
John Gatley 702 1.1× 390 1.2× 199 0.7× 262 1.7× 125 1.1× 15 1.2k
Dustin Schetters 585 0.9× 205 0.6× 185 0.7× 269 1.7× 58 0.5× 26 856
Sarah F. B. McTavish 538 0.9× 398 1.2× 145 0.5× 211 1.4× 85 0.8× 31 1.2k
Tamzin L. Ripley 717 1.2× 362 1.1× 129 0.5× 316 2.0× 101 0.9× 39 1.1k
Iva Dincheva 670 1.1× 400 1.2× 236 0.9× 250 1.6× 220 2.0× 13 1.2k
D. Hommer 626 1.0× 185 0.6× 116 0.4× 201 1.3× 128 1.2× 11 928
David Jentsch 629 1.0× 290 0.9× 137 0.5× 240 1.5× 61 0.6× 32 897
Rosa Anna Maria Marino 386 0.6× 259 0.8× 93 0.3× 177 1.1× 75 0.7× 19 816
Natalie E. Zlebnik 680 1.1× 162 0.5× 186 0.7× 209 1.3× 58 0.5× 36 937

Countries citing papers authored by Joost Wiskerke

Since Specialization
Citations

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

Fields of papers citing papers by Joost Wiskerke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joost Wiskerke

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

All Works

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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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