G. Gordon

2.3k citations
34 papers · 1.4k · h-index 20

Impact in

  • Neurology top 2%
    • Vestibular and auditory disorders
    • Transcranial Magnetic Stimulation Studies
    • Neuroscience and Neuropharmacology Research
    • Neuroscience and Neural Engineering
    • Neurobiology and Insect Physiology Research

Papers in

G. Gordon

34 papers receiving 1.2k citations

Peers

G. Gordon
Comparison fields: 5 of 95
  • Neurology 325
  • Cellular and Molecular Neuroscience 660
  • Cognitive Neuroscience 528
  • Developmental Neuroscience 93
  • Sensory Systems 109
Replace Joe Dan Coulter with:
Joe Dan Coulter United States
B. Holmqvist Sweden
A G Brown United Kingdom
K. E. Webster United Kingdom
Elizabeth Taber Norway
P. K. Rose United Kingdom
John E. Swett United States
R.A. Maunz United States
Kenro Kanda Japan
Carl Sievert United States
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Citations per field
00.5×12×
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Citations per year

Countries citing papers authored by G. Gordon

Since Specialization
Citations

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

Fields of papers citing papers by G. Gordon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside G. Gordon, 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. Gordon Line = papers co-authored together G. Gordon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1964190
2 1960121
3 1951108
4 1961107
5 1964102
6 196186
7 195378
8 197064
9 197458
10 195456
11 197353
12 198248
13 196941
14 197228
15 196727
16 198925
17 196222
18 202320
19 198920
20 198420

About G. Gordon

G. Gordon is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Physiology, Neurology and Molecular Biology, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (5 papers), Neuroscience and Neural Engineering (4 papers), Nerve injury and regeneration (3 papers), Glycosylation and Glycoproteins Research (3 papers), Neurological disorders and treatments (3 papers), Adipose Tissue and Metabolism (3 papers), Pain Mechanisms and Treatments (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Neurology (325 citations), Cellular and Molecular Neuroscience (660 citations), Cognitive Neuroscience (528 citations), Developmental Neuroscience (93 citations) and Sensory Systems (109 citations). G. Gordon has collaborated with scholars based in United Kingdom, France and Sweden. Frequent co-authors include M. G. M. Jukes, W. A. Seed, C. G. Phillips, T P Enevoldson, R. M. Gaze, S. Landgren, G. Grant, P. Andersen, Robert J. Miller and A G Brown. Their work appears in journals such as The Journal of Physiology, Experimental Brain Research, Brain Research, Frontiers in Immunology and Nature.

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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