M.G. Packard

1.8k total citations · 1 hit paper
9 papers, 1.4k citations indexed

About

M.G. Packard is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, M.G. Packard has authored 9 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 3 papers in Behavioral Neuroscience. Recurrent topics in M.G. Packard's work include Neuroscience and Neuropharmacology Research (7 papers), Memory and Neural Mechanisms (4 papers) and Stress Responses and Cortisol (3 papers). M.G. Packard is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Memory and Neural Mechanisms (4 papers) and Stress Responses and Cortisol (3 papers). M.G. Packard collaborates with scholars based in United States and Canada. M.G. Packard's co-authors include Richard F. Hirsh, Norman M. White, J.L. McGaugh, Larry Cahill, Jarid Goodman, Nicolás G. Bazán, Lisa A. Teather, G. Allan, Kah-Chung Leong and Richard L. Marsh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Neuroscience.

In The Last Decade

M.G. Packard

9 papers receiving 1.4k citations

Hit Papers

Differential effects of fornix and caudate nucleus lesion... 1989 2026 2001 2013 1989 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M.G. Packard United States 9 1.1k 775 324 219 142 9 1.4k
Magdalena Sauvage Germany 24 1.1k 1.0× 873 1.1× 322 1.0× 285 1.3× 142 1.0× 45 1.7k
Pascale Gisquet-Verrier France 20 852 0.8× 616 0.8× 402 1.2× 213 1.0× 77 0.5× 53 1.2k
Neal J. Cohen United States 5 1.2k 1.1× 484 0.6× 182 0.6× 185 0.8× 85 0.6× 5 1.5k
John C. Churchwell United States 18 854 0.8× 722 0.9× 187 0.6× 124 0.6× 158 1.1× 20 1.4k
Ingrid Bethus France 12 1.0k 0.9× 661 0.9× 146 0.5× 96 0.4× 127 0.9× 17 1.4k
Jo-Anne Tomie Canada 18 937 0.9× 655 0.8× 166 0.5× 217 1.0× 189 1.3× 22 1.4k
Pablo Alvarez United States 11 2.0k 1.9× 1.2k 1.6× 197 0.6× 179 0.8× 209 1.5× 14 2.4k
Étienne Coutureau France 31 1.5k 1.4× 1.5k 1.9× 483 1.5× 375 1.7× 139 1.0× 62 2.5k
Janina Ferbinteanu United States 16 1.0k 1.0× 895 1.2× 139 0.4× 76 0.3× 133 0.9× 20 1.3k
Hugo Lehmann Canada 21 1.1k 1.0× 990 1.3× 398 1.2× 163 0.7× 277 2.0× 48 1.6k

Countries citing papers authored by M.G. Packard

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of M.G. Packard

This figure shows the co-authorship network connecting the top 25 collaborators of M.G. Packard. A scholar is included among the top collaborators of M.G. Packard 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 M.G. Packard. M.G. Packard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Goodman, Jarid, Kah-Chung Leong, & M.G. Packard. (2015). Glucocorticoid enhancement of dorsolateral striatum-dependent habit memory requires concurrent noradrenergic activity. Neuroscience. 311. 1–8. 26 indexed citations
3.
Packard, M.G., et al.. (2009). Peripheral anxiogenic drug injections differentially affect cognitive and habit memory: role of basolateral amygdala. Neuroscience. 164(2). 457–462. 38 indexed citations
4.
Packard, M.G., et al.. (2006). Evidence of a role for multiple memory systems in behavioral extinction. Neurobiology of Learning and Memory. 85(3). 289–299. 18 indexed citations
5.
Marsh, Richard L., et al.. (2005). Perceptual-motor skill learning in Gilles de la Tourette syndromeEvidence for multiple procedural learning and memory systems. Neuropsychologia. 43(10). 1456–1465. 26 indexed citations
6.
Packard, M.G.. (2001). Task-Dependent Role for Dorsal Striatum Metabotropic Glutamate Receptors in Memory. Learning & Memory. 8(2). 96–103. 31 indexed citations
7.
Bazán, Nicolás G., M.G. Packard, Lisa A. Teather, & G. Allan. (1997). Bioactive lipids in excitatory neurotransmission and neuronal plasticity. Neurochemistry International. 30(2). 225–231. 54 indexed citations
8.
Packard, M.G., Larry Cahill, & J.L. McGaugh. (1994). Amygdala modulation of hippocampal-dependent and caudate nucleus-dependent memory processes.. Proceedings of the National Academy of Sciences. 91(18). 8477–8481. 428 indexed citations
9.
Packard, M.G., Richard F. Hirsh, & Norman M. White. (1989). Differential effects of fornix and caudate nucleus lesions on two radial maze tasks: evidence for multiple memory systems. Journal of Neuroscience. 9(5). 1465–1472. 765 indexed citations breakdown →

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.

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