John Gigg

1.8k citations
37 papers · 1.3k · h-index 18

Impact in

Papers in

John Gigg

36 papers receiving 1.3k citations

Peers

John Gigg
Comparison fields: 5 of 93
  • Cellular and Molecular Neuroscience 829
  • Endocrine and Autonomic Systems 238
  • Cognitive Neuroscience 657
  • Developmental Neuroscience 79
  • Behavioral Neuroscience 66
Replace Andreas Arvanitogiannis with:
Andreas Arvanitogiannis Canada
Sachiko Chikahisa Japan
Haohong Li China
Meaghan C. Creed United States
Heinrich S. Gompf United States
Jacqueline N. Crawley United States
Cindy D. Liu United States
Jingfeng Zhou China
David H. Root United States
Brigitte Cosquer France
John Gigg relative to Andreas Arvanitogiannis Canada Andreas Arvanitogiannis's profile →
Citations per field
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Andreas Arvanitogiannis · 1×
Citations per year

Countries citing papers authored by John Gigg

Since Specialization
Citations

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

Fields of papers citing papers by John Gigg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Gigg, 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 John Gigg Line = papers co-authored together John Gigg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001234
2 2010218
3 201369
4 199460
5 199959
6 201457
7 201356
8 199254
9 199844
10 199543
11 202142
12 199841
13 201140
14 202237
15 200037
16 201736
17 200621
18 200621
19 201618
20 199318

About John Gigg

John Gigg is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Behavioral Neuroscience, Physiology and Endocrine and Autonomic Systems, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (24 papers), Neuroscience and Neuropharmacology Research (22 papers), Neural dynamics and brain function (12 papers), Alzheimer's disease research and treatments (5 papers), Sleep and Wakefulness Research (5 papers), Neuroendocrine regulation and behavior (4 papers), Stress Responses and Cortisol (4 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (829 citations), Endocrine and Autonomic Systems (238 citations), Cognitive Neuroscience (657 citations), Developmental Neuroscience (79 citations) and Behavioral Neuroscience (66 citations). John Gigg has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Shane M. O’Mara, Michael I. Anderson, Seán Commins, Katherine E. Davis, Aiko M. Tan, Madeline J. Eacott, Alexander Easton, Hugh David Piggins, Timothy Matthew Brown and Robert James Lucas. Their work appears in journals such as Behavioural Brain Research, PLoS ONE, European Journal of Neuroscience, Journal of Psychopharmacology and Neuroreport.

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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