Janice M. Juraska

9.5k total citations
119 papers, 7.5k citations indexed

About

Janice M. Juraska is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Janice M. Juraska has authored 119 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Cellular and Molecular Neuroscience, 40 papers in Behavioral Neuroscience and 38 papers in Cognitive Neuroscience. Recurrent topics in Janice M. Juraska's work include Neuroscience and Neuropharmacology Research (49 papers), Stress Responses and Cortisol (40 papers) and Memory and Neural Mechanisms (30 papers). Janice M. Juraska is often cited by papers focused on Neuroscience and Neuropharmacology Research (49 papers), Stress Responses and Cortisol (40 papers) and Memory and Neural Mechanisms (30 papers). Janice M. Juraska collaborates with scholars based in United States, France and Belgium. Janice M. Juraska's co-authors include Stacey G. Warren, William T. Greenough, Julie A. Markham, Jari Willing, Fred R. Volkmar, Elissa J. Chesler, Joseph L. Nuñez, Wendy A. Koss, Carly M. Drzewiecki and Silvia N.M. Reid and has published in prestigious journals such as Science, Journal of Neuroscience and The Journal of Comparative Neurology.

In The Last Decade

Janice M. Juraska

118 papers receiving 7.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janice M. Juraska United States 51 2.7k 2.4k 2.1k 1.7k 1.2k 119 7.5k
William G.M. Janssen United States 48 3.6k 1.3× 1.9k 0.8× 1.6k 0.7× 770 0.4× 1.6k 1.3× 108 7.9k
Karyn M. Frick United States 52 1.9k 0.7× 2.8k 1.1× 1.7k 0.8× 1.3k 0.7× 2.7k 2.3× 114 7.4k
Maarten van den Buuse Australia 48 3.4k 1.3× 1.8k 0.7× 1.2k 0.6× 1.4k 0.8× 618 0.5× 254 7.7k
Maya Frankfurt United States 41 2.1k 0.8× 2.1k 0.9× 661 0.3× 1.5k 0.9× 1.8k 1.5× 88 6.3k
BS McEwen United States 20 2.8k 1.0× 3.3k 1.4× 1.0k 0.5× 1.6k 0.9× 2.3k 1.9× 29 8.7k
Rainer Rupprecht Germany 65 4.1k 1.5× 4.0k 1.6× 2.1k 1.0× 1.9k 1.1× 1.3k 1.0× 374 15.1k
Osborne F. X. Almeida Germany 63 3.6k 1.3× 5.4k 2.2× 1.5k 0.7× 3.0k 1.7× 952 0.8× 181 12.9k
Victoria N. Luine United States 62 3.0k 1.1× 5.3k 2.2× 2.0k 1.0× 3.2k 1.8× 3.5k 2.9× 146 12.4k
Richard F. Thompson United States 45 4.2k 1.6× 1.2k 0.5× 2.9k 1.3× 734 0.4× 796 0.7× 114 8.4k
Gloria E. Hoffman United States 58 2.9k 1.1× 2.0k 0.8× 1.5k 0.7× 3.5k 2.0× 1.5k 1.3× 154 11.9k

Countries citing papers authored by Janice M. Juraska

Since Specialization
Citations

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

Fields of papers citing papers by Janice M. Juraska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janice M. Juraska. 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 Janice M. Juraska. The network helps show where Janice M. Juraska may publish in the future.

Co-authorship network of co-authors of Janice M. Juraska

This figure shows the co-authorship network connecting the top 25 collaborators of Janice M. Juraska. A scholar is included among the top collaborators of Janice M. Juraska 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 Janice M. Juraska. Janice M. Juraska 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
2.
Drzewiecki, Carly M., et al.. (2021). Impact of pubertal onset on region‐specific Esr2 expression. Journal of Neuroendocrinology. 33(9). e13029–e13029. 8 indexed citations
3.
Wise, Leslie, et al.. (2018). Perinatal High-Fat Diet and Bisphenol A: Effects on Behavior and Gene Expression in the Medial Prefrontal Cortex. Developmental Neuroscience. 41(1-2). 1–16. 16 indexed citations
4.
Hankosky, Emily R., et al.. (2016). Beta-hydroxy-beta-methylbutyrate (HMB) ameliorates age-related deficits in water maze performance, especially in male rats. Physiology & Behavior. 170. 93–99. 10 indexed citations
5.
Willing, Jari & Janice M. Juraska. (2015). The timing of neuronal loss across adolescence in the medial prefrontal cortex of male and female rats. Neuroscience. 301. 268–275. 120 indexed citations
6.
Juraska, Janice M., et al.. (2013). Factors influencing the cognitive and neural effects of hormone treatment during aging in a rodent model. Brain Research. 1514. 40–49. 18 indexed citations
7.
Koss, Wendy A., et al.. (2011). Sex differences in the effects of ethanol pre-exposure during adolescence on ethanol-induced conditioned taste aversion in adult rats. Behavioural Brain Research. 225(1). 104–109. 44 indexed citations
8.
9.
Yates, Melissa A. & Janice M. Juraska. (2007). Increases in size and myelination of the rat corpus callosum during adulthood are maintained into old age. Brain Research. 1142. 13–18. 31 indexed citations
10.
Beverly, J. Lee, et al.. (2004). Effect of the Estrous Cycle on Water Maze Acquisition Depends on the Temperature of the Water.. Behavioral Neuroscience. 118(4). 863–868. 44 indexed citations
11.
Nuñez, Joseph L., et al.. (2003). Androgen receptor expression in the developing male and female rat visual and prefrontal cortex. Journal of Neurobiology. 56(3). 293–302. 58 indexed citations
12.
Nuñez, Joseph L. & Janice M. Juraska. (2000). Neonatal halothane anesthesia affects cortical morphology. Developmental Brain Research. 124(1-2). 121–124. 7 indexed citations
13.
Mogil, Jeffrey S., Elissa J. Chesler, Sonya G. Wilson, Janice M. Juraska, & Wendy F. Sternberg. (2000). Sex differences in thermal nociception and morphine antinociception in rodents depend on genotype. Neuroscience & Biobehavioral Reviews. 24(3). 375–389. 276 indexed citations
14.
Chesler, Elissa J. & Janice M. Juraska. (2000). Acute Administration of Estrogen and Progesterone Impairs the Acquisition of the Spatial Morris Water Maze in Ovariectomized Rats. Hormones and Behavior. 38(4). 234–242. 156 indexed citations
15.
Nuñez, Joseph L., Wendy A. Koss, & Janice M. Juraska. (2000). Hippocampal Anatomy and Water Maze Performance Are Affected by Neonatal Cryoanesthesia in Rats of Both Sexes. Hormones and Behavior. 37(3). 169–178. 29 indexed citations
16.
Nuñez, Joseph L., et al.. (1998). Neonatal cryoanesthesia affects the morphology of the visual cortex in the adult rat. Developmental Brain Research. 111(1). 89–98. 24 indexed citations
17.
Juraska, Janice M., et al.. (1996). Sex differences in radial maze performance: Influence of rearing environment and room cues. Psychobiology. 24(1). 33–37. 61 indexed citations
18.
Warren, Stacey G., et al.. (1995). LTP varies across the estrous cycle: enhanced synaptic plasticity in proestrus rats. Brain Research. 703(1-2). 26–30. 376 indexed citations
19.
Juraska, Janice M.. (1991). Sex differences in “cognitive” regions of the rat brain. Psychoneuroendocrinology. 16(1-3). 105–119. 141 indexed citations
20.
Juraska, Janice M., et al.. (1985). The dendritic morphology of hippocampal dentate granule cells varies with their position in the granule cell layer: a quantitative Golgi study. Experimental Brain Research. 59(3). 582–6. 69 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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