Stephen B. Fountain

1.2k total citations
55 papers, 840 citations indexed

About

Stephen B. Fountain is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Stephen B. Fountain has authored 55 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 16 papers in Cellular and Molecular Neuroscience and 13 papers in Molecular Biology. Recurrent topics in Stephen B. Fountain's work include Memory and Neural Mechanisms (31 papers), Neuroscience and Neuropharmacology Research (12 papers) and Receptor Mechanisms and Signaling (11 papers). Stephen B. Fountain is often cited by papers focused on Memory and Neural Mechanisms (31 papers), Neuroscience and Neuropharmacology Research (12 papers) and Receptor Mechanisms and Signaling (11 papers). Stephen B. Fountain collaborates with scholars based in United States. Stephen B. Fountain's co-authors include James D. Rowan, Stewart H. Hulse, Douglas G. Wallace, Shannon M. A. Kundey, Don M. Benson, Zoltan Annau, Timothy J. Teyler, Yuwen Ting, Rick A. Bevins and Dennis Garlick and has published in prestigious journals such as Child Development, Experimental Brain Research and Frontiers in Psychology.

In The Last Decade

Stephen B. Fountain

54 papers receiving 818 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen B. Fountain United States 19 574 264 255 182 157 55 840
James D. Rowan United States 12 217 0.4× 87 0.3× 135 0.5× 117 0.6× 67 0.4× 31 362
Kosuke Sawa Japan 10 306 0.5× 125 0.5× 145 0.6× 22 0.1× 110 0.7× 29 543
Philip J. Bersh United States 13 171 0.3× 145 0.5× 108 0.4× 42 0.2× 104 0.7× 35 489
Kathleen Taylor United States 12 261 0.5× 47 0.2× 202 0.8× 150 0.8× 70 0.4× 21 557
T. H. C. Cheung United Kingdom 17 400 0.7× 126 0.5× 460 1.8× 151 0.8× 93 0.6× 33 780
José Prados United Kingdom 14 285 0.5× 97 0.4× 110 0.4× 60 0.3× 61 0.4× 47 432
Su Li China 15 260 0.5× 241 0.9× 124 0.5× 133 0.7× 33 0.2× 35 816
Martin Zalesak United States 7 500 0.9× 87 0.3× 208 0.8× 41 0.2× 53 0.3× 7 635
Helen C. Barron United Kingdom 13 823 1.4× 46 0.2× 327 1.3× 38 0.2× 69 0.4× 17 995
Wolfgang M. Pauli United States 12 555 1.0× 49 0.2× 144 0.6× 58 0.3× 76 0.5× 17 817

Countries citing papers authored by Stephen B. Fountain

Since Specialization
Citations

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

Fields of papers citing papers by Stephen B. Fountain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen B. Fountain. 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 Stephen B. Fountain. The network helps show where Stephen B. Fountain may publish in the future.

Co-authorship network of co-authors of Stephen B. Fountain

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen B. Fountain. A scholar is included among the top collaborators of Stephen B. Fountain 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 Stephen B. Fountain. Stephen B. Fountain 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.
Kundey, Shannon M. A., Aahana Bajracharya, Holly Boettger‐Tong, Stephen B. Fountain, & James D. Rowan. (2019). Sex differences in serial pattern learning in mice. Behavioural Processes. 168. 103958–103958. 4 indexed citations
2.
Riccio, David C., et al.. (2018). Serial pattern retention in male and female rats. Neurobiology of Learning and Memory. 155. 578–582. 4 indexed citations
3.
Garlick, Dennis, Stephen B. Fountain, & Aaron P. Blaisdell. (2016). Serial pattern learning in pigeons: Rule-based or associative?. Journal of Experimental Psychology Animal Learning and Cognition. 43(1). 30–47. 9 indexed citations
4.
Rowan, James D., et al.. (2015). Adolescent exposure to methylphenidate impairs serial pattern learning in the serial multiple choice (SMC) task in adult rats. Neurotoxicology and Teratology. 51. 21–26. 9 indexed citations
5.
Fountain, Stephen B., et al.. (2015). Central muscarinic cholinergic involvement in serial pattern learning: Atropine impairs acquisition and retention in a serial multiple choice (SMC) task in rats. Neurobiology of Learning and Memory. 123. 18–27. 6 indexed citations
7.
Kundey, Shannon M. A. & Stephen B. Fountain. (2011). Irrelevant relations and the active search for pattern structure in rat serial pattern learning. Animal Cognition. 14(3). 359–368. 8 indexed citations
8.
Fountain, Stephen B., et al.. (2010). Concurrent cognitive processes in rat serial pattern learning: Item memory, serial position, and pattern structure. Learning and Motivation. 41(4). 252–272. 22 indexed citations
9.
Kundey, Shannon M. A. & Stephen B. Fountain. (2010). Blocking in rat serial pattern learning.. Journal of Experimental Psychology Animal Behavior Processes. 36(2). 307–312. 19 indexed citations
10.
Fountain, Stephen B., et al.. (2008). Adolescent exposure to nicotine impairs adult serial pattern learning in rats. Experimental Brain Research. 187(4). 651–656. 37 indexed citations
11.
Fountain, Stephen B.. (2002). Animal cognition and sequential behavior : behavioral, biological, and computational perspectives. Kluwer Academic Publishers eBooks. 25 indexed citations
12.
Rowan, James D., et al.. (2001). A multiple species approach to sequential learning: Are you a man or a mouse?. Behavior Research Methods, Instruments, & Computers. 33(3). 435–439. 6 indexed citations
13.
Fountain, Stephen B., et al.. (2000). Number, But Not Rhythmicity, of Temporal Cues Determines Phrasing Effects in Rat Serial-Pattern Learning. Learning and Motivation. 31(4). 301–322. 21 indexed citations
14.
Fountain, Stephen B., James D. Rowan, & Don M. Benson. (1999). Rule learning in rats: serial tracking in interleaved patterns. Animal Cognition. 2(1). 41–54. 18 indexed citations
15.
Fountain, Stephen B., Yuwen Ting, & Timothy J. Teyler. (1992). The in vitro hippocampal slice preparation as a screen for neurotoxicity. Toxicology in Vitro. 6(1). 77–87. 14 indexed citations
16.
Rowan, James D. & Stephen B. Fountain. (1991). Carbon monoxide exposure reduces the rewarding quality of brain-stimulation reward in rats. Neurotoxicology and Teratology. 13(2). 175–179. 1 indexed citations
17.
Fountain, Stephen B., et al.. (1985). Serial-pattern-learning processes dissociated by trimethyltin exposure in rats. Physiological Psychology. 13(2). 53–62. 22 indexed citations
18.
Fountain, Stephen B., et al.. (1984). Phrasing cues and hierarchical organization in serial pattern learning by rats.. Journal of Experimental Psychology Animal Behavior Processes. 10(1). 30–45. 56 indexed citations
19.
Fountain, Stephen B. & Zoltan Annau. (1984). Chunking, sorting, and rule-learning from serial patterns of brain-stimulation reward by rats. Animal Learning & Behavior. 12(3). 265–274. 25 indexed citations
20.
Fountain, Stephen B., et al.. (1983). Formal structure and pattern length in serial pattern learning by rats. Animal Learning & Behavior. 11(2). 186–192. 23 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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