David Kabelik

1.4k total citations
24 papers, 968 citations indexed

About

David Kabelik is a scholar working on Ecology, Evolution, Behavior and Systematics, Social Psychology and Developmental Biology. According to data from OpenAlex, David Kabelik has authored 24 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Ecology, Evolution, Behavior and Systematics, 14 papers in Social Psychology and 7 papers in Developmental Biology. Recurrent topics in David Kabelik's work include Animal Behavior and Reproduction (19 papers), Neuroendocrine regulation and behavior (13 papers) and Animal Vocal Communication and Behavior (7 papers). David Kabelik is often cited by papers focused on Animal Behavior and Reproduction (19 papers), Neuroendocrine regulation and behavior (13 papers) and Animal Vocal Communication and Behavior (7 papers). David Kabelik collaborates with scholars based in United States and Paraguay. David Kabelik's co-authors include James L. Goodson, Sara E. Schrock, Marcy A. Kingsbury, Aubrey M. Kelly, Michael C. Moore, Stacey L. Weiss, Jacob Rinaldi, Alexandra N. Smith, Richmond R. Thompson and Lauren A. O’Connell and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

David Kabelik

24 papers receiving 954 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Kabelik United States 16 651 553 269 210 155 24 968
Aubrey M. Kelly United States 19 821 1.3× 448 0.8× 288 1.1× 314 1.5× 143 0.9× 44 1.1k
Sunny K. Boyd United States 19 525 0.8× 499 0.9× 237 0.9× 78 0.4× 163 1.1× 35 1.0k
Sara E. Schrock United States 10 383 0.6× 432 0.8× 219 0.8× 135 0.6× 210 1.4× 10 718
Polly Campbell United States 21 317 0.5× 555 1.0× 254 0.9× 105 0.5× 268 1.7× 43 1.3k
Tessa E. Smith United Kingdom 17 687 1.1× 464 0.8× 116 0.4× 110 0.5× 206 1.3× 41 1.2k
Dómhnall J. Jennings United Kingdom 19 393 0.6× 615 1.1× 124 0.5× 84 0.4× 334 2.2× 51 1.1k
Douglas W. Wacker United States 13 413 0.6× 328 0.6× 130 0.5× 105 0.5× 107 0.7× 16 892
Melissa S. Gerald United States 18 674 1.0× 500 0.9× 170 0.6× 280 1.3× 94 0.6× 31 1.0k
Angelina Ruíz-Lambides United States 21 915 1.4× 638 1.2× 254 0.9× 262 1.2× 190 1.2× 45 1.3k
Carol B. Coopersmith United States 14 447 0.7× 461 0.8× 85 0.3× 99 0.5× 234 1.5× 22 967

Countries citing papers authored by David Kabelik

Since Specialization
Citations

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

Fields of papers citing papers by David Kabelik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Kabelik. 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 David Kabelik. The network helps show where David Kabelik may publish in the future.

Co-authorship network of co-authors of David Kabelik

This figure shows the co-authorship network connecting the top 25 collaborators of David Kabelik. A scholar is included among the top collaborators of David Kabelik 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 David Kabelik. David Kabelik 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.
Kabelik, David, et al.. (2022). Aggressive but not reproductive boldness in male green anole lizards correlates with baseline vasopressin activity. Hormones and Behavior. 140. 105109–105109. 5 indexed citations
2.
Boyle, Sarah A., et al.. (2021). Small mammal glucocorticoid concentrations vary with forest fragment size, trap type, and mammal taxa in the Interior Atlantic Forest. Scientific Reports. 11(1). 2111–2111. 17 indexed citations
3.
Kabelik, David, et al.. (2021). Social boldness correlates with brain gene expression in male green anoles. Hormones and Behavior. 133. 105007–105007. 14 indexed citations
4.
Kabelik, David, et al.. (2018). Neural activity in the social decision-making network of the brown anole during reproductive and agonistic encounters. Hormones and Behavior. 106. 178–188. 20 indexed citations
5.
Smith, Alexandra N. & David Kabelik. (2017). The effects of dopamine receptor 1 and 2 agonists and antagonists on sexual and aggressive behaviors in male green anoles. PLoS ONE. 12(2). e0172041–e0172041. 15 indexed citations
6.
7.
Weiss, Stacey L., et al.. (2013). Effect of stress on female-specific ornamentation. Journal of Experimental Biology. 216(Pt 14). 2641–7. 12 indexed citations
8.
Kabelik, David, et al.. (2012). Aggression- and sex-induced neural activity across vasotocin populations in the brown anole. Hormones and Behavior. 63(3). 437–446. 30 indexed citations
9.
Kabelik, David, et al.. (2011). Estrogenic regulation of dopaminergic neurons in the opportunistically breeding zebra finch. General and Comparative Endocrinology. 173(1). 96–104. 27 indexed citations
10.
Kelly, Aubrey M., Marcy A. Kingsbury, Sara E. Schrock, et al.. (2011). Vasotocin neurons and septal V1a-like receptors potently modulate songbird flocking and responses to novelty. Hormones and Behavior. 60(1). 12–21. 81 indexed citations
11.
Kabelik, David, et al.. (2010). Cryptic Regulation of Vasotocin Neuronal Activity but Not Anatomy by Sex Steroids and Social Stimuli in Opportunistic Desert Finches. Brain Behavior and Evolution. 75(1). 71–84. 28 indexed citations
12.
Goodson, James L., et al.. (2009). Mesotocin and Nonapeptide Receptors Promote Estrildid Flocking Behavior. Science. 325(5942). 862–866. 176 indexed citations
13.
Kabelik, David, et al.. (2009). Endogenous vasotocin exerts context-dependent behavioral effects in a semi-naturalistic colony environment. Hormones and Behavior. 56(1). 101–107. 54 indexed citations
14.
Goodson, James L. & David Kabelik. (2009). Dynamic limbic networks and social diversity in vertebrates: From neural context to neuromodulatory patterning. Frontiers in Neuroendocrinology. 30(4). 429–441. 172 indexed citations
15.
Goodson, James L., David Kabelik, & Sara E. Schrock. (2009). Dynamic neuromodulation of aggression by vasotocin: influence of social context and social phenotype in territorial songbirds. Biology Letters. 5(4). 554–556. 48 indexed citations
16.
Kabelik, David, Aubrey M. Kelly, & James L. Goodson. (2009). Dopaminergic regulation of mate competition aggression and aromatase-Fos colocalization in vasotocin neurons. Neuropharmacology. 58(1). 117–125. 33 indexed citations
17.
Kabelik, David, Stacey L. Weiss, & Michael C. Moore. (2008). Arginine Vasotocin (AVT) Immunoreactivity Relates to Testosterone but Not Territorial Aggression in the Tree Lizard, <i>Urosaurus ornatus</i>. Brain Behavior and Evolution. 72(4). 283–294. 27 indexed citations
18.
Kabelik, David, Stacey L. Weiss, & Michael C. Moore. (2007). Steroid hormones alter neuroanatomy and aggression independently in the tree lizard. Physiology & Behavior. 93(3). 492–501. 22 indexed citations
20.
Kabelik, David, Stacey L. Weiss, & Michael C. Moore. (2006). Steroid hormone mediation of limbic brain plasticity and aggression in free-living tree lizards, Urosaurus ornatus. Hormones and Behavior. 49(5). 587–597. 31 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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