Kimberly R. Lezak

758 total citations
8 papers, 560 citations indexed

About

Kimberly R. Lezak is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Kimberly R. Lezak has authored 8 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Behavioral Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Social Psychology. Recurrent topics in Kimberly R. Lezak's work include Stress Responses and Cortisol (8 papers), Neuroendocrine regulation and behavior (5 papers) and Neuropeptides and Animal Physiology (4 papers). Kimberly R. Lezak is often cited by papers focused on Stress Responses and Cortisol (8 papers), Neuroendocrine regulation and behavior (5 papers) and Neuropeptides and Animal Physiology (4 papers). Kimberly R. Lezak collaborates with scholars based in United States. Kimberly R. Lezak's co-authors include Galen Missig, William A. Carlezon, Sayamwong E. Hammack, Matthew A. Cooper, Karen M. Braas, Víctor May, Carolyn W. Roman, William A. Falls, Bethany Grimmig and Donna Toufexis and has published in prestigious journals such as Neuropsychopharmacology, Behavioural Brain Research and Psychoneuroendocrinology.

In The Last Decade

Kimberly R. Lezak

8 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kimberly R. Lezak United States 7 272 237 217 97 93 8 560
Daniel R. Staub United States 9 289 1.1× 306 1.3× 235 1.1× 119 1.2× 106 1.1× 10 623
Mumeko C. Tsuda United States 15 270 1.0× 175 0.7× 277 1.3× 79 0.8× 116 1.2× 32 743
Dean Kirson United States 14 233 0.9× 325 1.4× 143 0.7× 143 1.5× 127 1.4× 27 671
Eduardo F. Carvalho-Netto Brazil 13 336 1.2× 198 0.8× 289 1.3× 174 1.8× 76 0.8× 15 665
Stamatina Tzanoulinou Switzerland 13 275 1.0× 203 0.9× 274 1.3× 173 1.8× 124 1.3× 18 637
Manó Aliczki Hungary 13 131 0.5× 238 1.0× 161 0.7× 99 1.0× 90 1.0× 20 524
Toni-Lee Sterley South Africa 12 239 0.9× 126 0.5× 230 1.1× 139 1.4× 57 0.6× 15 537
Elizabeth I. Flandreau United States 9 318 1.2× 136 0.6× 192 0.9× 129 1.3× 44 0.5× 14 507
Joy Simpson Ireland 8 298 1.1× 227 1.0× 221 1.0× 126 1.3× 52 0.6× 10 766
Anneloes Dirks Netherlands 12 341 1.3× 197 0.8× 296 1.4× 73 0.8× 109 1.2× 13 589

Countries citing papers authored by Kimberly R. Lezak

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly R. Lezak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimberly R. Lezak. 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 Kimberly R. Lezak. The network helps show where Kimberly R. Lezak may publish in the future.

Co-authorship network of co-authors of Kimberly R. Lezak

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

All Works

8 of 8 papers shown
1.
Foilb, Allison R., Caitlin Ravichandran, Kimberly R. Lezak, et al.. (2024). Differential effects of the stress peptides PACAP and CRF on sleep architecture in mice. PubMed. 2(1). 3–3. 4 indexed citations
2.
Lezak, Kimberly R., Galen Missig, & William A. Carlezon. (2017). Behavioral methods to study anxiety in rodents. Dialogues in Clinical Neuroscience. 19(2). 181–191. 203 indexed citations
3.
Lezak, Kimberly R., Carolyn W. Roman, Karen M. Braas, et al.. (2014). Regulation of Bed Nucleus of the Stria Terminalis PACAP Expression by Stress and Corticosterone. Journal of Molecular Neuroscience. 54(3). 477–484. 34 indexed citations
4.
Lezak, Kimberly R., Emily Wasserman, Donna Toufexis, et al.. (2014). PACAP in the BNST Produces Anorexia and Weight Loss in Male and Female Rats. Neuropsychopharmacology. 39(7). 1614–1623. 47 indexed citations
5.
Lezak, Kimberly R., Galen Missig, Carolyn W. Roman, et al.. (2014). Pituitary adenylate cyclase-activating polypeptide (PACAP) in the bed nucleus of the stria terminalis (BNST) increases corticosterone in male and female rats. Psychoneuroendocrinology. 45. 11–20. 38 indexed citations
6.
Hammack, Sayamwong E., Matthew A. Cooper, & Kimberly R. Lezak. (2011). Overlapping neurobiology of learned helplessness and conditioned defeat: Implications for PTSD and mood disorders. Neuropharmacology. 62(2). 565–575. 112 indexed citations
8.
Hammack, Sayamwong E., Carolyn W. Roman, Kimberly R. Lezak, et al.. (2010). Roles for Pituitary Adenylate Cyclase-Activating Peptide (PACAP) Expression and Signaling in the Bed Nucleus of the Stria Terminalis (BNST) in Mediating the Behavioral Consequences of Chronic Stress. Journal of Molecular Neuroscience. 42(3). 327–340. 103 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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