G. E. Pickard

538 citations
11 papers · 432 · h-index 9

Impact in

Papers in

G. E. Pickard

11 papers receiving 401 citations

Peers

G. E. Pickard
Comparison fields: 5 of 73
  • Endocrine and Autonomic Systems 196
  • Cellular and Molecular Neuroscience 176
  • Behavioral Neuroscience 19
  • Reproductive Medicine 43
  • Ophthalmology 33
Replace Morten M�ller with:
Morten M�ller Denmark
Patrick Vuillez France
Atsuhiko Chiba Japan
L. J. Petterborg United States
Masaaki Fujimoto Japan
Rachel S. White United States
S. L. Freedman United States
Samantha You United States
M. J. Klein France
Kelly A. Glendining New Zealand
G. E. Pickard relative to Morten M�ller Denmark Morten M�ller's profile →
Citations per field
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Morten M�ller · 1×
Citations per year

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-authors

The 25 scholars most cited alongside G. E. Pickard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. E. Pickard Line = papers co-authored together G. E. Pickard links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201493
2 197982
3 200656
4 200948
5 199541
6 199039
7 199538
8 196123
9 20089
10
Signaling by Ganglion-Cell photoreceptors to Dopaminergic Amacrine Cells Requires the Photopigment Melanopsin and AMPA-Type Glutamate Receptors
20102
11 20091

About G. E. Pickard

G. E. Pickard is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience and Social Psychology, having authored 11 papers that have together received 432 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (7 papers), Retinal Development and Disorders (4 papers), Photoreceptor and optogenetics research (4 papers), Sleep and Wakefulness Research (4 papers), Marine animal studies overview (1 paper), Animal Genetics and Reproduction (1 paper), Neuroendocrine regulation and behavior (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (196 citations), Cellular and Molecular Neuroscience (176 citations), Behavioral Neuroscience (19 citations), Reproductive Medicine (43 citations) and Ophthalmology (33 citations). G. E. Pickard has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include A J Silverman, Patricia J. Sollars, Chaoran Ren, Qing Cui, Kwok‐Fai So, Michael Menaker, Kelley Faber, M.A. Belenky, Yosef Yarom and Seth L. Alper. Their work appears in journals such as Neuroscience, Investigative Ophthalmology & Visual Science, Genetics, Journal of Comparative Physiology A and Journal of Endocrinology.

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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