Daniel M. Hutcheson
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Pharmacology top 5%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Trevor W. RobbinsBarry J. EverittChristian HeidbrederDawn M. EagleChristelle BaunezOlivia LehmannAnthony DickinsonMichela Andreoli
- Topics
- Neurotransmitter Receptor Influence on Behavior (9 papers)Neuroscience and Neuropharmacology Research (7 papers)Receptor Mechanisms and Signaling (7 papers)
- Partner nations
- United KingdomItalyFrance
In The Last Decade
Daniel M. Hutcheson
21 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 79
- Cellular and Molecular Neuroscience 914
- Cognitive Neuroscience 580
- Molecular Biology 423
- Pharmacology 209
- Experimental and Cognitive Psychology 151
Countries citing papers authored by Daniel M. Hutcheson
This map shows the geographic impact of Daniel M. Hutcheson'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 Daniel M. Hutcheson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Hutcheson more than expected).
Fields of papers citing papers by Daniel M. Hutcheson
This network shows the impact of papers produced by Daniel M. Hutcheson. 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 Daniel M. Hutcheson. The network helps show where Daniel M. Hutcheson may publish in the future.
Co-authorship network of co-authors of Daniel M. Hutcheson
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Hutcheson. A scholar is included among the top collaborators of Daniel M. Hutcheson 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 Daniel M. Hutcheson. Daniel M. Hutcheson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 36 | |
| 3 | 23 | |
| 4 | 58 | |
| 5 | 52 | |
| 6 | 47 | |
| 7 | 65 | |
| 8 | 110 | |
| 9 | 295 | |
| 10 | 143 | |
| 11 | 40 | |
| 12 | 173 | |
| 13 | 15 | |
| 14 | 32 | |
| 15 | 9 | |
| 16 | 50 | |
| 17 | 8 | |
| 18 | 161 | |
| 19 | 1 | |
| 20 | 1 |
About Daniel M. Hutcheson
Daniel M. Hutcheson is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Endocrine and Autonomic Systems, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (9 papers), Neuroscience and Neuropharmacology Research (7 papers) and Receptor Mechanisms and Signaling (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (914 citations), Cognitive Neuroscience (580 citations) and Endocrine and Autonomic Systems (124 citations). Daniel M. Hutcheson has collaborated with scholars based in United Kingdom, Italy and France. Frequent co-authors include Trevor W. Robbins, Barry J. Everitt, Christian Heidbreder, Dawn M. Eagle, Christelle Baunez, Olivia Lehmann, Anthony Dickinson, Michela Andreoli, Maria Pilla and Michela Tessari. Their work appears in journals such as Nature Neuroscience, PLoS ONE and Annals of the New York 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.