G. E. Pickard

533 total citations
9 papers, 388 citations indexed

About

G. E. Pickard is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience. According to data from OpenAlex, G. E. Pickard has authored 9 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Endocrine and Autonomic Systems and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in G. E. Pickard's work include Circadian rhythm and melatonin (5 papers), Retinal Development and Disorders (4 papers) and Photoreceptor and optogenetics research (2 papers). G. E. Pickard is often cited by papers focused on Circadian rhythm and melatonin (5 papers), Retinal Development and Disorders (4 papers) and Photoreceptor and optogenetics research (2 papers). G. E. Pickard collaborates with scholars based in United States, Hong Kong and Israel. G. E. Pickard's co-authors include A J Silverman, Patricia J. Sollars, Qing Cui, Chaoran Ren, Kwok‐Fai So, Michael Menaker, M.A. Belenky, Yosef Yarom, David B. Mount and Kelley Faber and has published in prestigious journals such as Journal of Neurophysiology, Genetics and Neuroscience.

In The Last Decade

G. E. Pickard

9 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. E. Pickard United States 8 177 167 157 61 41 9 388
Morten M�ller Denmark 13 186 1.1× 243 1.5× 157 1.0× 83 1.4× 18 0.4× 20 408
Masaaki Fujimoto Japan 12 139 0.8× 237 1.4× 131 0.8× 24 0.4× 165 4.0× 28 394
Jessica Rodgers United Kingdom 11 149 0.8× 206 1.2× 165 1.1× 79 1.3× 11 0.3× 25 384
Christine A. Livingston United States 10 88 0.5× 111 0.7× 102 0.6× 83 1.4× 5 0.1× 14 358
G Sétáló Hungary 12 143 0.8× 186 1.1× 161 1.0× 48 0.8× 223 5.4× 25 648
S. L. Freedman United States 6 110 0.6× 142 0.9× 64 0.4× 79 1.3× 7 0.2× 9 439
Samantha You United States 10 122 0.7× 98 0.6× 53 0.3× 48 0.8× 6 0.1× 10 368
Damani N. Bryant United States 10 121 0.7× 113 0.7× 83 0.5× 44 0.7× 65 1.6× 13 447
M. J. Klein France 15 246 1.4× 219 1.3× 120 0.8× 39 0.6× 73 1.8× 20 608
Loredana D’Este Italy 16 76 0.4× 311 1.9× 142 0.9× 35 0.6× 26 0.6× 44 573

Countries citing papers authored by G. E. Pickard

Since Specialization
Citations

This map shows the geographic impact of G. 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 G. 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 G. E. Pickard more than expected).

Fields of papers citing papers by G. E. Pickard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

9 of 9 papers shown
1.
Cui, Qing, Chaoran Ren, Patricia J. Sollars, G. E. Pickard, & Kwok‐Fai So. (2014). The injury resistant ability of melanopsin-expressing intrinsically photosensitive retinal ganglion cells. Neuroscience. 284. 845–853. 90 indexed citations
2.
Sollars, Patricia J., et al.. (2010). Signaling by Ganglion-Cell photoreceptors to Dopaminergic Amacrine Cells Requires the Photopigment Melanopsin and AMPA-Type Glutamate Receptors. Investigative Ophthalmology & Visual Science. 51(13). 1206–1206. 2 indexed citations
3.
Belenky, M.A., Patricia J. Sollars, David B. Mount, et al.. (2009). Cell-type specific distribution of chloride transporters in the rat suprachiasmatic nucleus. Neuroscience. 165(4). 1519–1537. 46 indexed citations
4.
Kamasawa, Naomi, Christophe Furman, Kimberly G. V. Davidson, et al.. (2006). Abundance and ultrastructural diversity of neuronal gap junctions in the OFF and ON sublaminae of the inner plexiform layer of rat and mouse retina. Neuroscience. 142(4). 1093–1117. 50 indexed citations
5.
Nolan, Patrick M., Patricia J. Sollars, Barbara A. Bohne, et al.. (1995). Heterozygosity mapping of partially congenic lines: mapping of a semidominant neurological mutation, Wheels (Whl), on mouse chromosome 4.. Genetics. 140(1). 245–254. 29 indexed citations
6.
Pickard, G. E., et al.. (1995). Visual responses and connectivity in the turtle pretectum. Journal of Neurophysiology. 73(6). 2507–2521. 39 indexed citations
7.
Pickard, G. E., et al.. (1990). Circadian locomotor rhythms in the desert iguana. Journal of Comparative Physiology A. 166(6). 811–6. 32 indexed citations
8.
Pickard, G. E. & A J Silverman. (1979). EFFECTS OF PHOTOPERIOD ON HYPOTHALAMIC LUTEINIZING HORMONE RELEASING HORMONE IN THE MALE HAMSTER. Journal of Endocrinology. 83(3). 421–428. 76 indexed citations
9.
Pickard, G. E., et al.. (1961). Fundamentals of Hay Wafering. Transactions of the ASAE. 4(1). 65–68. 24 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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