G.A. Lambert

64 papers receiving 2.0k citations

Peers

G.A. Lambert
Comparison fields: 5 of 94
  • Psychiatry and Mental health 1.4k
  • Endocrine and Autonomic Systems 330
  • Sensory Systems 225
  • Pathology and Forensic Medicine 804
  • Neurology 251
Replace János Tajti with:
János Tajti Hungary
Inger Jansen‐Olesen Denmark
Milena De Felice United States
Helen E. Connor United Kingdom
Karen Lisa Hoskin United Kingdom
Vanessa Kainz United States
Andrea Ebersberger Germany
Kristian Agmund Haanes Denmark
Anna P. Andreou United Kingdom
Fred Michael Cutrer United States
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Citations per field
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Citations per year

Countries citing papers authored by G.A. Lambert

Since Specialization
Citations

This map shows the geographic impact of G.A. Lambert'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. Lambert 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. Lambert more than expected).

Fields of papers citing papers by G.A. Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991138
2 1983137
3 1984136
4 198298
5 199194
6 200878
7 199074
8 201165
9 197865
10 198861
11 198658
12 200857
13 200055
14 198355
15 200955
16 199253
17 198452
18 197549
19 197844
20 197044

About G.A. Lambert

G.A. Lambert is a scholar working on Psychiatry and Mental health, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Neurology, having authored 64 papers that have together received 2.2k indexed citations. Recurring topics across this work include Migraine and Headache Studies (34 papers), Neuroscience of respiration and sleep (17 papers), Trigeminal Neuralgia and Treatments (15 papers), Olfactory and Sensory Function Studies (7 papers), Neuropeptides and Animal Physiology (6 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), Neurological Disorders and Treatments (6 papers) and Pain Mechanisms and Treatments (6 papers). The work is most often cited by research in Psychiatry and Mental health (1.4k citations), Endocrine and Autonomic Systems (330 citations), Sensory Systems (225 citations), Pathology and Forensic Medicine (804 citations) and Neurology (251 citations). G.A. Lambert has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include Alessandro Stefano Zagami, Peter James Goadsby, James W. Lance, John W. Duckworth, Peter Michael Boers, Nikolai Bogduk, Richard D. Piper, Peter J. Goadsby, Samuel Gershon and W.J. Lang. Their work appears in journals such as Cephalalgia, Brain Research, European Journal of Pharmacology, Headache The Journal of Head and Face Pain and Neuropharmacology.

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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