F. Robert Brush

1.9k total citations
53 papers, 1.5k citations indexed

About

F. Robert Brush is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, F. Robert Brush has authored 53 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Behavioral Neuroscience, 12 papers in Cellular and Molecular Neuroscience and 11 papers in Cognitive Neuroscience. Recurrent topics in F. Robert Brush's work include Stress Responses and Cortisol (22 papers), Memory and Neural Mechanisms (11 papers) and Neurotransmitter Receptor Influence on Behavior (9 papers). F. Robert Brush is often cited by papers focused on Stress Responses and Cortisol (22 papers), Memory and Neural Mechanisms (11 papers) and Neurotransmitter Receptor Influence on Behavior (9 papers). F. Robert Brush collaborates with scholars based in United States, Japan and Poland. F. Robert Brush's co-authors include Richard L. Solomon, J. Bruce Overmier, M. T. Jones, R Neame, David F. Berger, Peter C. Sakellaris, Seymour Levine, Janice C. Froehlich, Louis Pellegrino and Michael E. Palmer and has published in prestigious journals such as Science, Annals of the New York Academy of Sciences and Cellular and Molecular Life Sciences.

In The Last Decade

F. Robert Brush

53 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
F. Robert Brush 539 453 394 346 232 53 1.5k
Robert A. Rosellini 439 0.8× 327 0.7× 364 0.9× 496 1.4× 249 1.1× 70 1.5k
Nanne E. van de Poll 787 1.5× 779 1.7× 541 1.4× 552 1.6× 280 1.2× 67 2.2k
K. E. Moyer 352 0.7× 732 1.6× 307 0.8× 330 1.0× 115 0.5× 53 1.6k
Giorgio Bignami 418 0.8× 527 1.2× 533 1.4× 911 2.6× 235 1.0× 74 2.1k
Frans van Haaren 665 1.2× 539 1.2× 672 1.7× 930 2.7× 363 1.6× 89 2.1k
Charles L. Kutscher 190 0.4× 389 0.9× 422 1.1× 561 1.6× 158 0.7× 58 2.2k
Maribeth Champoux 925 1.7× 1.1k 2.5× 304 0.8× 485 1.4× 152 0.7× 40 2.4k
Merle E. Meyer 188 0.3× 288 0.6× 322 0.8× 721 2.1× 210 0.9× 97 1.5k
Annemieke van Hest 308 0.6× 237 0.5× 398 1.0× 373 1.1× 182 0.8× 26 899
Lawrence S. Sklar 613 1.1× 340 0.8× 352 0.9× 768 2.2× 106 0.5× 22 1.9k

Countries citing papers authored by F. Robert Brush

Since Specialization
Citations

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

Fields of papers citing papers by F. Robert Brush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Robert Brush. 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 F. Robert Brush. The network helps show where F. Robert Brush may publish in the future.

Co-authorship network of co-authors of F. Robert Brush

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

All Works

20 of 20 papers shown
1.
Shen, Ji, et al.. (2004). Molecular correlates of emotional learning using genetically selected rat lines. Genes Brain & Behavior. 4(2). 99–109. 17 indexed citations
2.
3.
Brush, F. Robert. (2003). Selection for Differences in Avoidance Learning: The Syracuse Strains Differ in Anxiety, Not Learning Ability. Behavior Genetics. 33(6). 677–696. 37 indexed citations
4.
Savonenko, Alena, F. Robert Brush, & K Zieliński. (1999). How do rats cope with the two-way escape problem in a homogenous shuttle box?. Acta Neurobiologiae Experimentalis. 59(2). 145–157. 8 indexed citations
5.
Brush, F. Robert. (1999). A selective genetic analysis of the Syracuse high- and low-avoidance (SHA/Bru and SLA/Bru) strains of rats (Rattus norvegicus). Behavioural Brain Research. 106(1-2). 1–11. 23 indexed citations
6.
Brush, F. Robert, et al.. (1998). Differential Behavioral and Endocrinological Effects of Corticotropin-Releasing Hormone (CRH) in the Syracuse High- and Low-Avoidance Rats. Hormones and Behavior. 34(3). 262–267. 7 indexed citations
7.
8.
Kluge, Silvia von & F. Robert Brush. (1992). Conditioned taste and taste-potentiated odor aversions in the Syracuse high- and low-avoidance (SHA/Bru and SLA/Bru) strains of rats (Rattus norvegicus).. Journal of comparative psychology. 106(3). 248–253. 6 indexed citations
9.
Brush, F. Robert. (1992). Which twin has the Toni? Commentary on J. D. Sinclair. Behavior Genetics. 22(1). 25–27. 1 indexed citations
10.
Brush, F. Robert, et al.. (1991). Characteristics of the pituitary-adrenal system in the syracuse high-and low-avoidance strains of rats (Rattus norvegicus). Behavior Genetics. 21(1). 35–48. 24 indexed citations
11.
Iso, Hiroyuki & F. Robert Brush. (1991). Opposite effects of naltrexone on ETOH intake by syracuse high and low avoidance rats. Alcohol. 8(6). 443–448. 18 indexed citations
12.
Brush, F. Robert. (1991). Genetic determinants of individual differences in avoidance learning: Behavioral and endocrine characteristics. Cellular and Molecular Life Sciences. 47(10). 1039–1050. 64 indexed citations
13.
Brush, F. Robert, et al.. (1990). Adrenal morphometry in unilateral and sham adrenalectomized syracuse high and low avoidance rats. Physiology & Behavior. 48(2). 299–306. 6 indexed citations
14.
Iso, Hiroyuki, et al.. (1988). Running-wheel avoidance learning in rats (Rattus norvegicus): Effects of contingencies and comparisons of different strains.. Journal of comparative psychology. 102(4). 350–371. 17 indexed citations
15.
Brush, F. Robert, et al.. (1988). CER suppression, passive-avoidance learning, and stress-induced suppression of drinking in the Syracuse high- and low-avoidance strains of rats (Rattus norvegicus).. Journal of comparative psychology. 102(4). 337–349. 39 indexed citations
16.
Brush, F. Robert, et al.. (1986). Genetic Differences in Avoidance Learning Covary with Non‐opioid Stress‐Induced Analgesia. Annals of the New York Academy of Sciences. 467(1). 416–418. 5 indexed citations
17.
Brush, F. Robert, J. Bruce Overmier, & Richard L. Solomon. (1985). Affect, conditioning, and cognition : essays on the determinants of behavior. 157 indexed citations
18.
Brush, F. Robert, Janice C. Froehlich, James R. Ison, et al.. (1985). Genetic differences in avoidance learning by Rattus norvegicus: Escape/avoidance responding, sensitivity to electric shock, discrimination learning, and open-field behavior.. Journal of comparative psychology. 99(1). 60–73. 75 indexed citations
19.
Brush, F. Robert, et al.. (1979). Effects of acute and chronic restraint and estrus cycle on pituitary-adrenal function in the rat. Hormones and Behavior. 12(3). 218–224. 37 indexed citations
20.
Gutman, Arthur, James R. Sutterer, & F. Robert Brush. (1975). POSITIVE AND NEGATIVE BEHAVIORAL CONTRAST IN THE RAT1. Journal of the Experimental Analysis of Behavior. 23(3). 377–383. 32 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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