Danny G. Winder

9.6k citations
148 papers · 7.5k indexed · 1 hit paper · h-index 51
Topics
Neuroscience and Neuropharmacology Research (90 papers)Neurotransmitter Receptor Influence on Behavior (77 papers)Receptor Mechanisms and Signaling (47 papers)

In The Last Decade

Danny G. Winder

147 papers receiving 7.4k citations

Hit Papers

Rolipram, a type IV-specific phosphodiesterase inhibitor,...19982026200720161998100200300

Peers

Danny G. Winder
Comparison fields: 5 of 114
  • Cellular and Molecular Neuroscience 5.3k
  • Molecular Biology 3.0k
  • Cognitive Neuroscience 2.3k
  • Behavioral Neuroscience 1.1k
  • Social Psychology 939
Replace Wolfgang H. Sommer with:
Wolfgang H. Sommer Germany
Clyde W. Hodge United States
Thérèse M. Jay France
K.C.F. Fone United Kingdom
Hailan Hu China
Guy A. Higgins Canada
Marisa Roberto United States
Patricio O’Donnell United States
Tamara J. Phillips United States
Patricia H. Janak United States
Danny G. Winder relative to Wolfgang H. Sommer Germany Wolfgang H. Sommer's profile →
Citations per field
00.5×1.5×1.8×
Wolfgang H. Sommer · 1×
Citations per year

Countries citing papers authored by Danny G. Winder

Since Specialization
Citations

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

Fields of papers citing papers by Danny G. Winder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danny G. Winder. 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 Danny G. Winder. The network helps show where Danny G. Winder may publish in the future.

Co-authorship network of co-authors of Danny G. Winder

This figure shows the co-authorship network connecting the top 25 collaborators of Danny G. Winder. A scholar is included among the top collaborators of Danny G. Winder 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 Danny G. Winder. Danny G. Winder 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
#WorkIndexed citations
1 11
2 15
3 7
4 10
5 8
6 15
7 13
8 46
9 26
10 39
11 31
12 27
13 120
14 77
15 39
16 69
17 32
18 102
19 137
20 62

About Danny G. Winder

Danny G. Winder is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Cognitive Neuroscience, having authored 148 papers that have together received 7.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (90 papers), Neurotransmitter Receptor Influence on Behavior (77 papers) and Receptor Mechanisms and Signaling (47 papers). The work is most often cited by research in Behavioral Neuroscience (1.1k citations), Cellular and Molecular Neuroscience (5.3k citations) and Biological Psychiatry (451 citations). Danny G. Winder has collaborated with scholars based in United States, Denmark and Russia. Frequent co-authors include Thomas L. Kash, Eric R. Kandel, P. Jeffrey Conn, J. David Sweatt, Yuval Silberman, Robert T. Matthews, Isabelle M. Mansuy, Christopher M. Olsen, Sachin Patel and Brad A. Grueter. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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