G.A. Kennett

8.8k citations
93 papers · 7.3k · h-index 52

Impact in

Papers in

G.A. Kennett

93 papers receiving 6.9k citations

Peers

G.A. Kennett
Comparison fields: 5 of 114
  • Behavioral Neuroscience 1.0k
  • Cellular and Molecular Neuroscience 4.5k
  • Biological Psychiatry 427
  • Endocrine and Autonomic Systems 828
  • Pharmacology 1.1k
Replace Colin T. Dourish with:
Colin T. Dourish United Kingdom
Amir H. Rezvani United States
Laurence Lanfumey France
Emilio Merlo Pich Italy
Ángel Pazos Spain
Franco Borsini Italy
David S. Janowsky United States
György Bagdy Hungary
Jean‐Luc Moreau Switzerland
K.C.F. Fone United Kingdom
G.A. Kennett relative to Colin T. Dourish United Kingdom Colin T. Dourish's profile →
Citations per field
00.5×1.5×
Colin T. Dourish · 1×
Citations per year

Countries citing papers authored by G.A. Kennett

Since Specialization
Citations

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

Fields of papers citing papers by G.A. Kennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997455
2 1995315
3 1986269
4 1988263
5 1989244
6 1985230
7 1988224
8 1996211
9 1987198
10 2004195
11 2003183
12 2001164
13 1985153
14 1987150
15 1994149
16 1988145
17 1991141
18 1987138
19 1981135
20 1986135

About G.A. Kennett

G.A. Kennett is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Social Psychology, Organic Chemistry and Pharmacology, having authored 93 papers that have together received 7.3k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (61 papers), Neuroscience and Neuropharmacology Research (27 papers), Neuroendocrine regulation and behavior (23 papers), Receptor Mechanisms and Signaling (22 papers), Stress Responses and Cortisol (10 papers), Cyclopropane Reaction Mechanisms (6 papers), Tryptophan and brain disorders (6 papers) and Memory and Neural Mechanisms (6 papers). The work is most often cited by research in Behavioral Neuroscience (1.0k citations), Cellular and Molecular Neuroscience (4.5k citations), Biological Psychiatry (427 citations), Endocrine and Autonomic Systems (828 citations) and Pharmacology (1.1k citations). G.A. Kennett has collaborated with scholars based in United Kingdom, United States and Mexico. Frequent co-authors include G. Curzon, Colin T. Dourish, Thomas P. Blackburn, Stephen L. Dickinson, Gordon S. Baxter, T.P. Blackburn, Peter G. Clifton, Martyn Wood, Fiona Bright and Brenda Trail. Their work appears in journals such as Psychopharmacology, European Journal of Pharmacology, Neuropharmacology, British Journal of Pharmacology and Brain Research.

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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