Ingo Willuhn

4.1k citations
50 papers · 2.9k · 1 hit paper · h-index 23

Impact in

Papers in

Ingo Willuhn

47 papers receiving 2.8k citations

Ingo Willuhn's Hit Papers

A selective role for dopamine in stimulus–reward learning 2010 · 787 citations
7870+5+10Years since publication250500750

Peers

Ingo Willuhn
Comparison fields: 5 of 110
  • Cellular and Molecular Neuroscience 1.8k
  • Cognitive Neuroscience 1.0k
  • Behavioral Neuroscience 175
  • Biological Psychiatry 51
  • Endocrine and Autonomic Systems 128
Replace Jeremy J. Clark with:
Jeremy J. Clark United States
David Theobald United Kingdom
Kate M. Wassum United States
Matthew J. Wanat United States
Evgeny A. Budygin United States
Donita L. Robinson United States
Omar S. Mabrouk United States
Carrie R. Ferrario United States
Brandon J. Aragona United States
Michael P. Saddoris United States
Ingo Willuhn relative to Jeremy J. Clark United States Jeremy J. Clark's profile →
Citations per field
00.5×1.5×2.1×
Jeremy J. Clark · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A selective role for dopamine in stimulus–reward learning
Hit paper breakdown →
2010787
2 2009306
3 2014206
4 2012196
5 2015165
6 2009154
7 2009142
8 2014119
9 200396
10 202095
11 201846
12 200845
13 201743
14 200641
15 200938
16 202238
17 201837
18 201933
19 202132
20 202231

About Ingo Willuhn

Ingo Willuhn is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Clinical Psychology and Neurology, having authored 50 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (29 papers), Receptor Mechanisms and Signaling (15 papers), Neuroscience and Neuropharmacology Research (13 papers), Neural dynamics and brain function (11 papers), Obsessive-Compulsive Spectrum Disorders (10 papers), Neurological disorders and treatments (8 papers), Neuroendocrine regulation and behavior (5 papers) and Zebrafish Biomedical Research Applications (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.8k citations), Cognitive Neuroscience (1.0k citations), Behavioral Neuroscience (175 citations), Biological Psychiatry (51 citations) and Endocrine and Autonomic Systems (128 citations). Ingo Willuhn has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Paul E. M. Phillips, Jeremy J. Clark, Matthew J. Wanat, Lauren M. Burgeno, Heinz Steiner, Leah M. Mayo, Terry E. Robinson, Shelly B. Flagel, Sarah M. Clinton and Huda Akil. Their work appears in journals such as Journal of Neuroscience, eNeuro, Neuroscience, Nature Communications and Neurobiology of Learning and Memory.

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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