Hewlet G. McFarlane
- Cognitive Neuroscience top 5%
- Genetics top 10%
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Social Psychology top 5%
- Co-authors
- Mu YangJacqueline N. CrawleyValerie J. BolivarCharles P. PlutoElizabeth A. PehekGregory J. YavanianKimberly A. MaguschakMaría Luisa Scattoni
- Topics
- Neuroendocrine regulation and behavior (4 papers)Neuroscience, Education and Cognitive Function (3 papers)Neurotransmitter Receptor Influence on Behavior (3 papers)
- Partner nations
- United StatesCzechiaItaly
In The Last Decade
Hewlet G. McFarlane
13 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Cognitive Neuroscience 483
- Genetics 328
- Molecular Biology 319
- Cellular and Molecular Neuroscience 317
- Social Psychology 264
Countries citing papers authored by Hewlet G. McFarlane
This map shows the geographic impact of Hewlet G. McFarlane'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 Hewlet G. McFarlane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hewlet G. McFarlane more than expected).
Fields of papers citing papers by Hewlet G. McFarlane
This network shows the impact of papers produced by Hewlet G. McFarlane. 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 Hewlet G. McFarlane. The network helps show where Hewlet G. McFarlane may publish in the future.
Co-authorship network of co-authors of Hewlet G. McFarlane
This figure shows the co-authorship network connecting the top 25 collaborators of Hewlet G. McFarlane. A scholar is included among the top collaborators of Hewlet G. McFarlane 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 Hewlet G. McFarlane. Hewlet G. McFarlane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 4 | |
| 3 | Undergraduate Participation in the Society for Neuroscience. | 2 |
| 4 | 24 | |
| 5 | Using the Humanities to Teach Neuroscience to Non-majors. | 6 |
| 6 | 8 | |
| 7 | 27 | |
| 8 | 106 | |
| 9 | Autism‐like behavioral phenotypes in BTBR T+tf/J micebreakdown → | 636 |
| 10 | 123 | |
| 11 | 102 | |
| 12 | 2 | |
| 13 | The Effects of the Number of Abnormal Cagemates on the Behavior and Brain Neurochemistry of the Control Cagemates of DSP-4 Treated Rats | 1 |
About Hewlet G. McFarlane
Hewlet G. McFarlane is a scholar working on Aging, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (4 papers), Neuroscience, Education and Cognitive Function (3 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). The work is most often cited by research in Cognitive Neuroscience (483 citations), Behavioral Neuroscience (80 citations) and Biological Psychiatry (48 citations). Hewlet G. McFarlane has collaborated with scholars based in United States, Czechia and Italy. Frequent co-authors include Mu Yang, Jacqueline N. Crawley, Valerie J. Bolivar, Charles P. Pluto, Elizabeth A. Pehek, Gregory J. Yavanian, Kimberly A. Maguschak, María Luisa Scattoni, Laura Ricceri and J. N. Crawley. Their work appears in journals such as Brain Research, The FASEB Journal and Behavioural Brain Research.
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.