Joan M. Lakoski

2.2k total citations
52 papers, 1.8k citations indexed

About

Joan M. Lakoski is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Social Psychology. According to data from OpenAlex, Joan M. Lakoski has authored 52 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cellular and Molecular Neuroscience, 18 papers in Molecular Biology and 11 papers in Social Psychology. Recurrent topics in Joan M. Lakoski's work include Neurotransmitter Receptor Influence on Behavior (23 papers), Neuroscience and Neuropharmacology Research (15 papers) and Receptor Mechanisms and Signaling (14 papers). Joan M. Lakoski is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (23 papers), Neuroscience and Neuropharmacology Research (15 papers) and Receptor Mechanisms and Signaling (14 papers). Joan M. Lakoski collaborates with scholars based in United States, Cyprus and Czechia. Joan M. Lakoski's co-authors include George K. Aghajanian, Kathryn A. Cunningham, Dorothy W. Gallager, Susan F. Gonsalves, Scott L. Rauch, Francis J. White, Matthew P. Galloway, Jane E. Cavanaugh, Judith R. Walters and Jane Ellen Smith and has published in prestigious journals such as Nature, Science and Current Biology.

In The Last Decade

Joan M. Lakoski

51 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joan M. Lakoski United States 20 1.2k 627 264 264 200 52 1.8k
Frank R. George United States 28 1.6k 1.4× 800 1.3× 246 0.9× 240 0.9× 149 0.7× 72 2.1k
Brian A. McMillen United States 26 1.3k 1.1× 659 1.1× 238 0.9× 134 0.5× 245 1.2× 70 1.9k
Arlene S. Eison United States 19 956 0.8× 479 0.8× 208 0.8× 114 0.4× 213 1.1× 34 1.4k
François Hogenboom Netherlands 24 1.8k 1.6× 1.3k 2.0× 275 1.0× 398 1.5× 191 1.0× 38 2.2k
Serge Gobaille France 25 1.2k 1.0× 561 0.9× 214 0.8× 235 0.9× 133 0.7× 53 1.9k
Mark J. Majchrzak United States 22 690 0.6× 907 1.4× 299 1.1× 396 1.5× 135 0.7× 47 1.6k
Alexander Jakubovič Canada 20 1.1k 0.9× 629 1.0× 308 1.2× 150 0.6× 171 0.9× 59 1.6k
Joanna Peris United States 25 1.2k 1.0× 560 0.9× 208 0.8× 169 0.6× 365 1.8× 70 1.8k
Diane C. Hoffman Canada 20 934 0.8× 496 0.8× 327 1.2× 126 0.5× 170 0.8× 27 1.4k
Mark Egli United States 18 1.0k 0.9× 379 0.6× 318 1.2× 404 1.5× 121 0.6× 33 2.0k

Countries citing papers authored by Joan M. Lakoski

Since Specialization
Citations

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

Fields of papers citing papers by Joan M. Lakoski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan M. Lakoski

This figure shows the co-authorship network connecting the top 25 collaborators of Joan M. Lakoski. A scholar is included among the top collaborators of Joan M. Lakoski 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 Joan M. Lakoski. Joan M. Lakoski 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.
Eddington, Natalie D., Jeffrey Aubé, Sudip Das, et al.. (2016). Report of the 2014-2016 AACP Research and Graduate Affairs Committee. American Journal of Pharmaceutical Education. 80(9). S21–S21. 5 indexed citations
2.
Foreman, Jennifer E., Arimantas Lionikas, Neil A. Sharkey, et al.. (2009). Genetic architecture for hole‐board behaviors across substantial time intervals in young, middle‐aged and old mice. Genes Brain & Behavior. 8(7). 714–727. 4 indexed citations
3.
Lakoski, Joan M.. (2009). Perspective: Top 10 Tips to Maximize Your Mentoring. Science. 2 indexed citations
4.
Keyser, Donna J., et al.. (2008). Advancing Institutional Efforts to Support Research Mentorship: A Conceptual Framework and Self-Assessment Tool. Academic Medicine. 83(3). 217–225. 91 indexed citations
5.
Cavanaugh, Jane E., Juliann D. Jaumotte, Joan M. Lakoski, & Michael J. Zigmond. (2006). Neuroprotective role of ERK1/2 and ERK5 in a dopaminergic cell line under basal conditions and in response to oxidative stress. Journal of Neuroscience Research. 84(6). 1367–1375. 71 indexed citations
6.
Foreman, Jennifer E., David A. Blizard, Glenn S. Gerhard, et al.. (2005). Serum alkaline phosphatase activity is regulated by a chromosomal region containing the alkaline phosphatase 2 gene (Akp2) in C57BL/6J and DBA/2J mice. Physiological Genomics. 23(3). 295–303. 15 indexed citations
7.
Lakoski, Joan M., et al.. (2000). Regional heterogeneity of serotonin1A receptor inactivation and turnover in the aging female rat brain following EEDQ. Neuropharmacology. 39(7). 1237–1246. 3 indexed citations
8.
9.
Lakoski, Joan M.. (1999). Mentoring: who needs it?. Current Biology. 9(5). R153–R153.
10.
Maines, Lynn W., et al.. (1999). Corticosterone regulation of serotonin transporter and 5-HT1A receptor expression in the aging brain. Synapse. 32(1). 58–66. 24 indexed citations
11.
Maines, Lynn W., et al.. (1998). Age-dependent loss of corticosterone modulation of central serotonin 5-HT1A receptor binding sites. Journal of Neuroscience Research. 53(1). 86–98. 15 indexed citations
12.
13.
Lakoski, Joan M., et al.. (1997). N-Ethoxycarbonyl-2-ethoxy-1,2-dihydroquinoline (EEDQ) administration for studies of 5-HT1A receptor binding site inactivation and turnover. Brain Research Protocols. 1(4). 364–370. 10 indexed citations
14.
Larson‐Prior, Linda, et al.. (1996). Identification of central 5-HT and 5-HT1A receptors in the turtle brain (Chrysemys picta). Neuroscience Letters. 212(2). 79–82. 2 indexed citations
15.
Lakoski, Joan M.. (1994). Neuroendocrinology of aging at the cellular level: Membranes to neural circuits. Neurobiology of Aging. 15(4). 519–520. 1 indexed citations
16.
Lakoski, Joan M., Matthew P. Galloway, & Francis J. White. (1992). Cocaine : pharmacology, physiology, and clinical strategies. Virtual Defense Library (Ministerio de Defensa). 173 indexed citations
17.
Lakoski, Joan M., et al.. (1990). In Vitro electrophysiology of dorsal raphe serotonergic neurons in subchronic cocaine-treated rats: Development of tolerance to acute cocaine administration. Molecular and Cellular Neuroscience. 1(1). 84–91. 14 indexed citations
18.
Cunningham, Kathryn A. & Joan M. Lakoski. (1990). The interaction of cocaine with serotonin dorsal raphe neurons. Single-unit extracellular recording studies.. PubMed. 3(1). 41–50. 105 indexed citations
19.
Lakoski, Joan M., et al.. (1989). Aging but not estrogen alters regional [3H]5-HT binding in the CNS of female Fischer 344 rats. Neuroscience Letters. 101(3). 293–298. 10 indexed citations
20.
Lakoski, Joan M. & Gerald F. Gebhart. (1981). Attenuation of Morphine’s Depression of Serum Luteinizing Hormone by Lesions in the Amygdala. Neuroendocrinology. 33(2). 105–111. 10 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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