Gardner C. Quarton
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Social Psychology top 10%
- Artificial Intelligence top 10%
- Co-authors
- Francis O. SchmittTheodore MelnechukGeorge AdelmanTheodore H. BullockLincoln D. ClarkStanley CobbWalter BauerGeorge A. Talland
- Topics
- Visual and Cognitive Learning Processes (2 papers)Neural and Behavioral Psychology Studies (1 paper)Neural dynamics and brain function (1 paper)
- Journals
- New England Journal of MedicineThe Journal of Clinical Endocrinology & MetabolismAnnals of the New York Academy of Sciences
- Partner nations
- United States
In The Last Decade
Gardner C. Quarton
13 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Cognitive Neuroscience 631
- Cellular and Molecular Neuroscience 377
- Molecular Biology 201
- Social Psychology 134
- Artificial Intelligence 97
Countries citing papers authored by Gardner C. Quarton
This map shows the geographic impact of Gardner C. Quarton'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 Gardner C. Quarton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gardner C. Quarton more than expected).
Fields of papers citing papers by Gardner C. Quarton
This network shows the impact of papers produced by Gardner C. Quarton. 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 Gardner C. Quarton. The network helps show where Gardner C. Quarton may publish in the future.
Co-authorship network of co-authors of Gardner C. Quarton
This figure shows the co-authorship network connecting the top 25 collaborators of Gardner C. Quarton. A scholar is included among the top collaborators of Gardner C. Quarton 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 Gardner C. Quarton. Gardner C. Quarton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | The Neurosciences;: Second study programbreakdown → | 470 |
| 5 | 1 | |
| 6 | The neurosciences : a study programbreakdown → | 659 |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 14 | |
| 11 | 6 | |
| 12 | 17 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | 17 | |
| 16 | 67 | |
| 17 | 53 |
About Gardner C. Quarton
Gardner C. Quarton is a scholar working on Toxicology, Experimental and Cognitive Psychology and Linguistics and Language, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Visual and Cognitive Learning Processes (2 papers), Neural and Behavioral Psychology Studies (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Cognitive Neuroscience (631 citations), Cellular and Molecular Neuroscience (377 citations) and Behavioral Neuroscience (70 citations). Gardner C. Quarton has collaborated with scholars based in United States. Frequent co-authors include Francis O. Schmitt, Theodore Melnechuk, George Adelman, Theodore H. Bullock, Lincoln D. Clark, Stanley Cobb, Walter Bauer, George A. Talland, Michael T. McGuire and Peter E. Sifneos. Their work appears in journals such as New England Journal of Medicine, The Journal of Clinical Endocrinology & Metabolism 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.