Chad M. Galuska
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Developmental and Educational Psychology top 10%
- Cognitive Neuroscience
- Physiology
- Co-authors
- Gail WingerJames H. WoodsSteven R. HurshJürgen WichmannEric PrinssenWilliam E. FantegrossiMei‐Chuan KoJing Li
- Topics
- Neurotransmitter Receptor Influence on Behavior (13 papers)Behavioral and Psychological Studies (11 papers)Autism Spectrum Disorder Research (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Pharmacology and Experimental TherapeuticsNeuropsychopharmacology
- Partner nations
- United StatesSwitzerland
In The Last Decade
Chad M. Galuska
22 papers receiving 358 citations
Peers
Comparison fields: 5 of 66
- Cellular and Molecular Neuroscience 269
- Molecular Biology 140
- Developmental and Educational Psychology 77
- Cognitive Neuroscience 73
- Physiology 67
Countries citing papers authored by Chad M. Galuska
This map shows the geographic impact of Chad M. Galuska'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 Chad M. Galuska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad M. Galuska more than expected).
Fields of papers citing papers by Chad M. Galuska
This network shows the impact of papers produced by Chad M. Galuska. 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 Chad M. Galuska. The network helps show where Chad M. Galuska may publish in the future.
Co-authorship network of co-authors of Chad M. Galuska
This figure shows the co-authorship network connecting the top 25 collaborators of Chad M. Galuska. A scholar is included among the top collaborators of Chad M. Galuska 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 Chad M. Galuska. Chad M. Galuska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 66 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 24 | |
| 9 | 28 | |
| 10 | 5 | |
| 11 | 8 | |
| 12 | 80 | |
| 13 | Resistance to change in schedules of avoidance and timeout from avoidance | 1 |
| 14 | 20 | |
| 15 | 18 | |
| 16 | 36 | |
| 17 | 6 | |
| 18 | 3 | |
| 19 | 28 | |
| 20 | 14 |
About Chad M. Galuska
Chad M. Galuska is a scholar working on General Decision Sciences, Developmental and Educational Psychology and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 362 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (13 papers), Behavioral and Psychological Studies (11 papers) and Autism Spectrum Disorder Research (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (269 citations), Developmental and Educational Psychology (77 citations) and Toxicology (20 citations). Chad M. Galuska has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Gail Winger, James H. Woods, Steven R. Hursh, Jürgen Wichmann, Eric Prinssen, William E. Fantegrossi, Mei‐Chuan Ko, Jing Li, Yanan Zhang and Amy M. Gancarz. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Pharmacology and Experimental Therapeutics and Neuropsychopharmacology.
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.