Gary E. Pickard

6.3k total citations
83 papers, 5.1k citations indexed

About

Gary E. Pickard is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Gary E. Pickard has authored 83 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Endocrine and Autonomic Systems, 47 papers in Cellular and Molecular Neuroscience and 22 papers in Molecular Biology. Recurrent topics in Gary E. Pickard's work include Circadian rhythm and melatonin (62 papers), Photoreceptor and optogenetics research (32 papers) and Sleep and Wakefulness Research (19 papers). Gary E. Pickard is often cited by papers focused on Circadian rhythm and melatonin (62 papers), Photoreceptor and optogenetics research (32 papers) and Sleep and Wakefulness Research (19 papers). Gary E. Pickard collaborates with scholars based in United States, China and Hong Kong. Gary E. Pickard's co-authors include Patricia J. Sollars, Fred W. Turek, Michael Belenky, Michael A. Rea, Cynthia A. Smeraski, Ann‐Judith Silverman, Michael Menaker, Martin R. Ralph, Scott B. Baver and Bruce W. Banfield and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Gary E. Pickard

83 papers receiving 5.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gary E. Pickard United States 42 3.5k 2.5k 1.4k 1.4k 659 83 5.1k
Christian Broberger Sweden 34 3.3k 0.9× 1.7k 0.7× 1.2k 0.8× 1.4k 1.1× 1.4k 2.1× 73 5.8k
Gianluca Tosini United States 48 5.1k 1.4× 2.9k 1.1× 1.1k 0.8× 2.2k 1.6× 1.1k 1.7× 131 6.8k
Michael J. Krashes United States 36 3.3k 0.9× 3.2k 1.3× 1.5k 1.0× 1.3k 0.9× 1.9k 2.9× 56 7.2k
J. Patrick Card United States 59 4.1k 1.2× 3.5k 1.4× 2.0k 1.4× 1.9k 1.4× 1.7k 2.6× 118 10.0k
Kevin T. Beier United States 31 908 0.3× 2.3k 0.9× 2.1k 1.5× 1.4k 1.1× 404 0.6× 57 4.8k
Patricia J. Sollars United States 28 1.5k 0.4× 1.2k 0.5× 512 0.4× 974 0.7× 222 0.3× 52 2.6k
Qun‐Yong Zhou United States 30 1.4k 0.4× 1.8k 0.7× 473 0.3× 1.5k 1.1× 518 0.8× 55 4.4k
Patrick M. Nolan United Kingdom 36 1.5k 0.4× 1.2k 0.5× 641 0.5× 2.3k 1.7× 699 1.1× 108 5.2k
Michael N. Lehman United States 60 4.9k 1.4× 3.0k 1.2× 1.3k 0.9× 2.7k 2.0× 1.1k 1.7× 200 12.4k
Frans Vandesande Belgium 47 1.7k 0.5× 2.9k 1.1× 766 0.5× 1.7k 1.3× 375 0.6× 186 6.7k

Countries citing papers authored by Gary E. Pickard

Since Specialization
Citations

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

Fields of papers citing papers by Gary E. Pickard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary E. Pickard. 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 Gary E. Pickard. The network helps show where Gary E. Pickard may publish in the future.

Co-authorship network of co-authors of Gary E. Pickard

This figure shows the co-authorship network connecting the top 25 collaborators of Gary E. Pickard. A scholar is included among the top collaborators of Gary E. Pickard 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 Gary E. Pickard. Gary E. Pickard 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.
Pickard, Gary E., Bruce W. Brodersen, Patricia J. Sollars, & Gregory A. Smith. (2020). The pseudorabies virus R2 non-neuroinvasive vaccine: A proof-of-concept study in pigs. Vaccine. 38(29). 4524–4528. 6 indexed citations
2.
Bernstein, David I., Rhonda D. Cardin, Gregory A. Smith, et al.. (2020). The R2 non-neuroinvasive HSV-1 vaccine affords protection from genital HSV-2 infections in a guinea pig model. npj Vaccines. 5(1). 104–104. 27 indexed citations
3.
4.
Richards, Alexsia, et al.. (2017). The pUL37 tegument protein guides alpha-herpesvirus retrograde axonal transport to promote neuroinvasion. PLoS Pathogens. 13(12). e1006741–e1006741. 63 indexed citations
5.
Pickard, Gary E., Kwok‐Fai So, & Mingliang Pu. (2015). Dorsal raphe nucleus projecting retinal ganglion cells: Why Y cells?. Neuroscience & Biobehavioral Reviews. 57. 118–131. 15 indexed citations
6.
Sollars, Patricia J., et al.. (2015). The pseudorabies virus protein, pUL56, enhances virus dissemination and virulence but is dispensable for axonal transport. Virology. 488. 179–186. 13 indexed citations
7.
Sollars, Patricia J. & Gary E. Pickard. (2015). The Neurobiology of Circadian Rhythms. Psychiatric Clinics of North America. 38(4). 645–665. 49 indexed citations
8.
Ren, Chaoran, Benson Wui-Man Lau, Xin Huang, et al.. (2013). Direct Retino-Raphe Projection Alters Serotonergic Tone and Affective Behavior. Neuropsychopharmacology. 38(7). 1163–1175. 43 indexed citations
9.
Zaichick, Sofia, Kevin P. Bohannon, Ami Hughes, et al.. (2013). The Herpesvirus VP1/2 Protein Is an Effector of Dynein-Mediated Capsid Transport and Neuroinvasion. Cell Host & Microbe. 13(2). 193–203. 105 indexed citations
10.
Pickard, Gary E. & Patricia J. Sollars. (2010). Intrinsically photosensitive retinal ganglion cells. Science China Life Sciences. 53(1). 58–67. 44 indexed citations
11.
Wong, Kwoon Y., et al.. (2008). Intraretinal signaling by ganglion cell photoreceptors to dopaminergic amacrine neurons. Proceedings of the National Academy of Sciences. 105(37). 14181–14186. 224 indexed citations
12.
Baver, Scott B., Galen Pickard, Patricia J. Sollars, & Gary E. Pickard. (2008). Two types of melanopsin retinal ganglion cell differentially innervate the hypothalamic suprachiasmatic nucleus and the olivary pretectal nucleus. European Journal of Neuroscience. 27(7). 1763–1770. 238 indexed citations
13.
Belenky, Michael, Yosef Yarom, & Gary E. Pickard. (2007). Heterogeneous expression of γ‐aminobutyric acid and γ‐aminobutyric acid‐associated receptors and transporters in the rat suprachiasmatic nucleus. The Journal of Comparative Neurology. 506(4). 708–732. 80 indexed citations
14.
Sollars, Patricia J., et al.. (2005). 5-HT1B Receptor-Mediated Presynaptic Inhibition of GABA Release in the Suprachiasmatic Nucleus. Journal of Neurophysiology. 93(6). 3157–3164. 42 indexed citations
15.
Banfield, Bruce W., Jessica Kaufman, Jessica A. Randall, & Gary E. Pickard. (2003). Development of Pseudorabies Virus Strains Expressing Red Fluorescent Proteins: New Tools for Multisynaptic Labeling Applications. Journal of Virology. 77(18). 10106–10112. 118 indexed citations
16.
Sollars, Patricia J., Cynthia A. Smeraski, Jessica Kaufman, et al.. (2003). Melanopsin and non-melanopsin expressing retinal ganglion cells innervate the hypothalamic suprachiasmatic nucleus. Visual Neuroscience. 20(6). 601–610. 89 indexed citations
17.
Belenky, Michael & Gary E. Pickard. (2001). Subcellular distribution of 5‐HT1b and 5‐HT7 receptors in the mouse suprachiasmatic nucleus. The Journal of Comparative Neurology. 432(3). 371–388. 81 indexed citations
18.
19.
Gary, Keith A., Patricia J. Sollars, Nedra Lexow, Andrew Winokur, & Gary E. Pickard. (1996). Thyrotropin-releasing hormone phase shifts circadian rhythms in hamsters. Neuroreport. 7(10). 1631–1634. 10 indexed citations
20.
Sollars, Patricia J. & Gary E. Pickard. (1993). Time course of fiber outgrowth from fetal anterior hypothalamic heterografts. Brain Research. 614(1-2). 212–219. 15 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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