Rachel D. Samson

606 total citations
10 papers, 424 citations indexed

About

Rachel D. Samson is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Rachel D. Samson has authored 10 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Rachel D. Samson's work include Memory and Neural Mechanisms (8 papers), Neuroscience and Neuropharmacology Research (5 papers) and Neural dynamics and brain function (3 papers). Rachel D. Samson is often cited by papers focused on Memory and Neural Mechanisms (8 papers), Neuroscience and Neuropharmacology Research (5 papers) and Neural dynamics and brain function (3 papers). Rachel D. Samson collaborates with scholars based in United States. Rachel D. Samson's co-authors include Denis Paré, Carol A. Barnes, Éric C. Dumont, Jean‐Marc Fellous, Michael J. Frank, Guy Drolet, Marzia Martina, Sevil Duvarci, Adam W. Lester and P. Lipa and has published in prestigious journals such as Journal of Neuroscience, Neuroscience and European Journal of Neuroscience.

In The Last Decade

Rachel D. Samson

10 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rachel D. Samson United States	8	286	247	80	76	56	10	424
Anna Vale-Martı́nez Spain	16	276 1.0×	297 1.2×	80 1.0×	80 1.1×	101 1.8×	34	522
Dirk Jones United States	9	245 0.9×	273 1.1×	93 1.2×	119 1.6×	56 1.0×	10	470
Karin Di Monteiro Moreira Brazil	16	310 1.1×	272 1.1×	68 0.8×	128 1.7×	31 0.6×	21	490
Ramon Hypólito Lima Brazil	13	188 0.7×	204 0.8×	77 1.0×	72 0.9×	54 1.0×	27	387
Stephanie A Carmack United States	11	177 0.6×	333 1.3×	103 1.3×	107 1.4×	49 0.9×	15	506
Stephanie B. Linley United States	11	478 1.7×	427 1.7×	63 0.8×	80 1.1×	67 1.2×	17	653
M. Good United Kingdom	8	345 1.2×	323 1.3×	64 0.8×	72 0.9×	32 0.6×	10	491
Sophie Masneuf Switzerland	7	201 0.7×	258 1.0×	93 1.2×	89 1.2×	54 1.0×	11	445
Ivan Skelin Canada	15	302 1.1×	332 1.3×	76 0.9×	107 1.4×	39 0.7×	31	588
Sangyu Xu United States	4	251 0.9×	215 0.9×	62 0.8×	79 1.0×	81 1.4×	4	374

Countries citing papers authored by Rachel D. Samson

Since Specialization

Citations

This map shows the geographic impact of Rachel D. Samson'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 Rachel D. Samson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel D. Samson more than expected).

Fields of papers citing papers by Rachel D. Samson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel D. Samson. 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 Rachel D. Samson. The network helps show where Rachel D. Samson may publish in the future.

Co-authorship network of co-authors of Rachel D. Samson

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

All Works

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10 of 10 papers shown

Samson, Rachel D., et al.. (2017). Emergence of β-Band Oscillations in the Aged Rat Amygdala during Discrimination Learning and Decision Making Tasks. eNeuro. 4(5). ENEURO.0245–17.2017. 12 indexed citations

Samson, Rachel D., et al.. (2015). Age differences in strategy selection and risk preference during risk-based decision making.. Behavioral Neuroscience. 129(2). 138–148. 5 indexed citations

Samson, Rachel D., et al.. (2014). Enhanced performance of aged rats in contingency degradation and instrumental extinction tasks.. Behavioral Neuroscience. 128(2). 122–133. 6 indexed citations

Samson, Rachel D. & Carol A. Barnes. (2013). Impact of aging brain circuits on cognition. European Journal of Neuroscience. 37(12). 1903–1915. 123 indexed citations

Samson, Rachel D., Michael J. Frank, & Jean‐Marc Fellous. (2010). Computational models of reinforcement learning: the role of dopamine as a reward signal. Cognitive Neurodynamics. 4(2). 91–105. 48 indexed citations

Samson, Rachel D. & Denis Paré. (2006). A spatially structured network of inhibitory and excitatory connections directs impulse traffic within the lateral amygdala. Neuroscience. 141(3). 1599–1609. 24 indexed citations

Samson, Rachel D. & Denis Paré. (2005). Activity-Dependent Synaptic Plasticity in the Central Nucleus of the Amygdala. Journal of Neuroscience. 25(7). 1847–1855. 85 indexed citations

Samson, Rachel D., Sevil Duvarci, & Denis Paré. (2005). Synaptic Plasticity in the Central Nucleus of the Amygdala. Reviews in the Neurosciences. 16(4). 287–302. 26 indexed citations

Samson, Rachel D., Éric C. Dumont, & Denis Paré. (2003). Feedback Inhibition Defines Transverse Processing Modules in the Lateral Amygdala. Journal of Neuroscience. 23(5). 1966–1973. 31 indexed citations

10.

Dumont, Éric C., Marzia Martina, Rachel D. Samson, Guy Drolet, & Denis Paré. (2002). Physiological properties of central amygdala neurons: species differences. European Journal of Neuroscience. 15(3). 545–552. 64 indexed citations

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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