M.G. Packard
Impact in
- Behavioral Neuroscience top 1%
- Stress Responses and Cortisol
- Cognitive Neuroscience top 2%
- Memory and Neural Mechanisms
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
Papers in
-
- Neuroscience and Neuropharmacology Research 7
-
- Memory and Neural Mechanisms 4
- Autism Spectrum Disorder Research 1
- Sleep and Wakefulness Research 1
- Co-authors
- Richard F. Hirsh (1 shared paper)Norman M. White (1 shared paper)J.L. McGaugh (1 shared paper)Larry Cahill (1 shared paper)Jarid Goodman (2 shared papers)G. Allan (1 shared paper)Nicolás G. Bazán (1 shared paper)Lisa A. Teather (1 shared paper)
- Journals
- Neuroscience (3 papers)Neurobiology of Learning and Memory (1 paper)Learning & Memory (1 paper)Neuropsychologia (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
M.G. Packard
9 papers receiving 1.4k citations
M.G. Packard's Hit Papers
Peers
Comparison fields: 5 of 86
- Behavioral Neuroscience 324
- Cognitive Neuroscience 1.1k
- Cellular and Molecular Neuroscience 775
- Neurology 142
- Developmental Neuroscience 59
Countries citing papers authored by M.G. Packard
This map shows the geographic impact of M.G. Packard'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 M.G. Packard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.G. Packard more than expected).
Fields of papers citing papers by M.G. Packard
This network shows the impact of papers produced by M.G. Packard. 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 M.G. Packard. The network helps show where M.G. Packard may publish in the future.
Co-authors
The 12 scholars most cited alongside M.G. Packard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Differential effects of fornix and caudate nucleus lesions on two radial maze tasks: evidence for multiple memory systems Hit paper breakdown → | 1989 | 765 |
| 2 | 1994 | 428 | |
| 3 | 1997 | 54 | |
| 4 | 2009 | 38 | |
| 5 | 2001 | 31 | |
| 6 | 2015 | 26 | |
| 7 | 2005 | 26 | |
| 8 | 2014 | 19 | |
| 9 | 2006 | 18 |
About M.G. Packard
M.G. Packard is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Behavioral Neuroscience, Molecular Biology and Pharmacology, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Memory and Neural Mechanisms (4 papers), Stress Responses and Cortisol (3 papers), Behavioral and Psychological Studies (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Obsessive-Compulsive Spectrum Disorders (1 paper), Autism Spectrum Disorder Research (1 paper) and Sleep and Wakefulness Research (1 paper). The work is most often cited by research in Behavioral Neuroscience (324 citations), Cognitive Neuroscience (1.1k citations), Cellular and Molecular Neuroscience (775 citations), Neurology (142 citations) and Developmental Neuroscience (59 citations). M.G. Packard has collaborated with scholars based in United States and Canada. Frequent co-authors include Richard F. Hirsh, Norman M. White, J.L. McGaugh, Larry Cahill, Jarid Goodman, G. Allan, Nicolás G. Bazán, Lisa A. Teather, Kah-Chung Leong and Richard L. Marsh. Their work appears in journals such as Neuroscience, Neurobiology of Learning and Memory, Learning & Memory, Neuropsychologia and Journal of Neuroscience.
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.