G.I. Hatton

3.7k citations
58 papers · 3.4k · h-index 36

Impact in

Papers in

G.I. Hatton

58 papers receiving 3.2k citations

Peers

G.I. Hatton
Comparison fields: 5 of 76
  • Cellular and Molecular Neuroscience 1.4k
  • Social Psychology 1.6k
  • Endocrine and Autonomic Systems 345
  • Behavioral Neuroscience 155
  • Developmental Neuroscience 133
Replace Glenn Irwin Hatton with:
Glenn Irwin Hatton United States
Charles D. Tweedle United States
Dennise T. Theodosis France
Yusuke Sano Japan
Dionysia T. Theodosis France
Adrienne K. Salm United States
K. Dierickx Belgium
Shigeo Daikoku Japan
Walther Hild United States
Koh Shinoda Japan
G.I. Hatton relative to Glenn Irwin Hatton United States Glenn Irwin Hatton's profile →
Citations per field
00.5×1.5×
Glenn Irwin 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 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980374
2 1984197
3 1980131
4 1987109
5 1984108
6 1980107
7 1982106
8 1985102
9 1995100
10 198995
11 198388
12 199788
13 198481
14 199775
15 198374
16 199274
17 199674
18 198968
19 198767
20 198865

About G.I. Hatton

G.I. Hatton is a scholar working on Social Psychology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Behavioral Neuroscience and Sensory Systems, having authored 58 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (43 papers), Neuroscience and Neuropharmacology Research (24 papers), Neuropeptides and Animal Physiology (9 papers), Connexins and lens biology (7 papers), Electrolyte and hormonal disorders (5 papers), Ion channel regulation and function (5 papers), Stress Responses and Cortisol (5 papers) and Neuroscience of respiration and sleep (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Social Psychology (1.6k citations), Endocrine and Autonomic Systems (345 citations), Behavioral Neuroscience (155 citations) and Developmental Neuroscience (133 citations). G.I. Hatton has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Charles D. Tweedle, Adrienne K. Salm, Qin Zhao Yang, Kenneth G. Smithson, William E. Armstrong, William T. Mason, Lynn S. Perlmutter, T.H. McNeill, Steven J. Warach and R.J. Bicknell. Their work appears in journals such as Neuroscience, Brain Research, The Journal of Physiology, Progress in brain research and Journal of Neuroendocrinology.

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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