G.I. Hatton

3.7k citations
57 papers · 3.1k · h-index 36

Impact in

Papers in

G.I. Hatton

57 papers receiving 3.1k citations

Peers

G.I. Hatton
Comparison fields: 5 of 77
  • Endocrine and Autonomic Systems 1.4k
  • Behavioral Neuroscience 391
  • Social Psychology 1.6k
  • Cellular and Molecular Neuroscience 1.4k
  • Developmental Neuroscience 285
Replace Glenn I. Hatton with:
Glenn I. Hatton United States
D.T. Theodosis France
Dionysia T. Theodosis France
F.W. van Leeuwen Netherlands
Charles D. Tweedle United States
Trevor F.C. Batten United Kingdom
Marina Eliava Germany
A.K. Salm United States
Shigeo Daikoku Japan
Richard Piet New Zealand
G.I. Hatton relative to Glenn I. Hatton United States Glenn I. Hatton's profile →
Citations per field
00.5×1.5×
Glenn I. Hatton · 1×
Citations per year

Countries citing papers authored by G.I. Hatton

Since Specialization
Citations

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

Fields of papers citing papers by G.I. Hatton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980349
2 1984182
3 1980125
4 1980103
5 1987103
6 1982102
7 1985100
8 1984100
9 199595
10 198987
11 199779
12 198376
13 199772
14 199671
15 199269
16 198464
17 198362
18 198762
19 199160
20 198959

About G.I. Hatton

G.I. Hatton is a scholar working on Social Psychology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Molecular Biology and Cognitive Neuroscience, having authored 57 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (33 papers), Neuroscience and Neuropharmacology Research (19 papers), Neuroscience of respiration and sleep (13 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Olfactory and Sensory Function Studies (8 papers), Photoreceptor and optogenetics research (8 papers), Stress Responses and Cortisol (8 papers) and Ion channel regulation and function (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.4k citations), Behavioral Neuroscience (391 citations), Social Psychology (1.6k citations), Cellular and Molecular Neuroscience (1.4k citations) and Developmental Neuroscience (285 citations). G.I. Hatton has collaborated with scholars based in United States, United Kingdom and Slovakia. Frequent co-authors include Charles D. Tweedle, Qin Yang, A.K. Salm, Kenneth G. Smithson, William E. Armstrong, Lynn S. Perlmutter, William T. Mason, Steven Warach, T.H. McNeill and R.J. Bicknell. Their work appears in journals such as Neuroscience, Brain Research, The Journal of Physiology, Journal of Neuroendocrinology and Progress in 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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