Ingo Willuhn

4.1k total citations · 1 hit paper
46 papers, 2.6k citations indexed

About

Ingo Willuhn is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Ingo Willuhn has authored 46 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cellular and Molecular Neuroscience, 21 papers in Cognitive Neuroscience and 16 papers in Molecular Biology. Recurrent topics in Ingo Willuhn's work include Neurotransmitter Receptor Influence on Behavior (28 papers), Receptor Mechanisms and Signaling (15 papers) and Neuroscience and Neuropharmacology Research (12 papers). Ingo Willuhn is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (28 papers), Receptor Mechanisms and Signaling (15 papers) and Neuroscience and Neuropharmacology Research (12 papers). Ingo Willuhn collaborates with scholars based in Netherlands, United States and United Kingdom. Ingo Willuhn's co-authors include Paul E. M. Phillips, Jeremy J. Clark, Matthew J. Wanat, Lauren M. Burgeno, Heinz Steiner, Huda Akil, Shelly B. Flagel, Terry E. Robinson, Leah M. Mayo and Sarah M. Clinton and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Ingo Willuhn

43 papers receiving 2.6k citations

Hit Papers

A selective role for dopa... 2010 2026 2015 2020 2010 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Ingo Willuhn 1.8k 1.1k 772 368 333 46 2.6k
Jeremy J. Clark 1.7k 1.0× 961 0.9× 753 1.0× 355 1.0× 171 0.5× 24 2.5k
Kate M. Wassum 2.0k 1.1× 1.2k 1.1× 873 1.1× 388 1.1× 165 0.5× 46 3.1k
Mitchell F. Roitman 3.2k 1.8× 1.6k 1.5× 1.9k 2.4× 483 1.3× 313 0.9× 77 5.2k
Evgeny A. Budygin 2.7k 1.5× 1.1k 1.1× 1.5k 1.9× 450 1.2× 97 0.3× 74 3.7k
Joseph F. Cheer 4.0k 2.2× 1.7k 1.6× 1.5k 1.9× 430 1.2× 266 0.8× 99 5.8k
David Theobald 1.8k 1.0× 1.2k 1.1× 546 0.7× 401 1.1× 390 1.2× 24 2.6k
Lisa A. Gunaydin 3.0k 1.7× 1.8k 1.7× 878 1.1× 650 1.8× 151 0.5× 20 4.3k
Emily Ferenczi 2.2k 1.2× 1.4k 1.3× 662 0.9× 321 0.9× 75 0.2× 29 3.6k
Erin S. Calipari 2.1k 1.2× 838 0.8× 1.5k 1.9× 448 1.2× 137 0.4× 92 3.5k
Marie‐Françoise Suaud‐Chagny 1.7k 1.0× 1.3k 1.3× 960 1.2× 159 0.4× 196 0.6× 71 3.4k

Countries citing papers authored by Ingo Willuhn

Since Specialization
Citations

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

Fields of papers citing papers by Ingo Willuhn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingo Willuhn

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

All Works

20 of 20 papers shown
1.
Moore, Michael C., et al.. (2025). Optogenetic Stimulation of Novel Tph2-Cre Rats Advances Insight into Serotonin's Role in Locomotion, Reinforcement, and Compulsivity. Journal of Neuroscience. 45(21). e1424242025–e1424242025.
2.
Figee, Martijn, Isidoor O. Bergfeld, P. Richard Schuurman, et al.. (2025). Intracranial electrophysiological biomarkers of compulsivity in obsessive–compulsive disorder. Nature Mental Health. 3(8). 889–898.
3.
Burgeno, Lauren M., Marios C. Panayi, Jennifer S. Steger, et al.. (2025). Cocaine seeking and consumption are oppositely regulated by mesolimbic dopamine in male rats. Nature Communications. 16(1). 9954–9954.
4.
Smith, Rachel J., et al.. (2024). Value-Driven Adaptations of Mesolimbic Dopamine Release Are Governed by Both Model-Based and Model-Free Mechanisms. eNeuro. 11(7). ENEURO.0223–24.2024. 1 indexed citations
5.
Willuhn, Ingo, et al.. (2023). Anticipation of Appetitive Operant Action Induces Sustained Dopamine Release in the Nucleus Accumbens. Journal of Neuroscience. 43(21). 3922–3932. 5 indexed citations
6.
Cousijn, Janna, et al.. (2023). The impact of age on olfactory alcohol cue‐reactivity: A functional magnetic resonance imaging study in adolescent and adult male drinkers. Alcohol Clinical and Experimental Research. 47(4). 668–677. 4 indexed citations
7.
Polling, Jan Roelof, J. Willem L. Tideman, Magda A. Meester‐Smoor, et al.. (2023). Myopia control in Mendelian forms of myopia. Ophthalmic and Physiological Optics. 43(3). 494–504. 7 indexed citations
8.
Boom, Bastijn J.G. van den, et al.. (2022). Nucleus accumbens dopamine tracks aversive stimulus duration and prediction but not value or prediction error. eLife. 11. 19 indexed citations
9.
Denys, Damiaan, et al.. (2022). Striatal dopamine signals are region specific and temporally stable across action-sequence habit formation. Current Biology. 32(5). 1163–1174.e6. 36 indexed citations
10.
Feenstra, Matthijs G.P., et al.. (2020). Instrumental learning in a mouse model for obsessive-compulsive disorder: Impaired habit formation in Sapap3 mutants. Neurobiology of Learning and Memory. 168. 107162–107162. 22 indexed citations
11.
Boom, Bastijn J.G. van den, et al.. (2019). Behavioral flexibility in a mouse model for obsessive‐compulsive disorder: Impaired Pavlovian reversal learning in SAPAP3 mutants. Genes Brain & Behavior. 18(4). e12557–e12557. 33 indexed citations
12.
Verharen, Jeroen P. H., Johannes W. de Jong, Ruud van Zessen, et al.. (2018). A neuronal mechanism underlying decision-making deficits during hyperdopaminergic states. Nature Communications. 9(1). 731–731. 44 indexed citations
13.
Boom, Bastijn J.G. van den, et al.. (2017). Automated classification of self-grooming in mice using open-source software. Journal of Neuroscience Methods. 289. 48–56. 38 indexed citations
14.
Klanker, Marianne, Tessa P. Sandberg, Ruud N.J.M.A. Joosten, et al.. (2015). Phasic dopamine release induced by positive feedback predicts individual differences in reversal learning. Neurobiology of Learning and Memory. 125. 135–145. 29 indexed citations
15.
Willuhn, Ingo, Matthew J. Wanat, Andrew S. Hart, et al.. (2014). Phasic Dopamine Release in the Nucleus Accumbens in Response to Pro-Social 50 kHz Ultrasonic Vocalizations in Rats. Journal of Neuroscience. 34(32). 10616–10623. 109 indexed citations
16.
Ünal, Çağrı Temuçin, Joel A. Beverley, Ingo Willuhn, & Heinz Steiner. (2009). Long‐lasting dysregulation of gene expression in corticostriatal circuits after repeated cocaine treatment in adult rats: effects on zif 268 and homer 1a. European Journal of Neuroscience. 29(8). 1615–1626. 34 indexed citations
17.
Clark, Jeremy J., Stefan G. Sandberg, Matthew J. Wanat, et al.. (2009). Chronic microsensors for longitudinal, subsecond dopamine detection in behaving animals. Nature Methods. 7(2). 126–129. 291 indexed citations
18.
Willuhn, Ingo & Heinz Steiner. (2008). Motor-skill learning in a novel running-wheel task is dependent on D1 dopamine receptors in the striatum. Neuroscience. 153(1). 249–258. 41 indexed citations
19.
Topic, Bianca, Ingo Willuhn, Nicola Palomero‐Gallagher, et al.. (2006). Impaired maze performance in aged rats is accompanied by increased density of NMDA, 5‐HT1A, and α‐adrenoceptor binding in hippocampus. Hippocampus. 17(1). 68–77. 40 indexed citations
20.
Willuhn, Ingo, Weiwen Sun, & Heinz Steiner. (2003). Topography of cocaine‐induced gene regulation in the rat striatum: relationship to cortical inputs and role of behavioural context. European Journal of Neuroscience. 17(5). 1053–1066. 93 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026