David George Lambert

312 papers receiving 8.1k citations

Peers

David George Lambert
Comparison fields: 5 of 107
  • Cellular and Molecular Neuroscience 2.5k
  • Anesthesiology and Pain Medicine 391
  • Pharmacology 420
  • Sensory Systems 110
  • Physiology 425
Replace Graeme Henderson with:
Graeme Henderson United Kingdom
Josephine Y. Lai United States
Girolamo Calò Italy
Masabumi Minami Japan
John C. Hunter United States
Grégory Scherrer United States
Hugh C. Hemmings United States
Manfred Göthert Germany
Alan Cowan United States
Jianren Mao United States
David George Lambert relative to Graeme Henderson United Kingdom Graeme Henderson's profile →
Citations per field
00.5×2×3.2×
Graeme Henderson · 1×
Citations per year

Countries citing papers authored by David George Lambert

Since Specialization
Citations

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

Fields of papers citing papers by David George Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 318 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008315
2 1996311
3 2000177
4 2013157
5 2002154
6 2003153
7 2009140
8 1990138
9 2011128
10 1996122
11 2011121
12 1989117
13 1999114
14 2014113
15 2019110
16 1991101
17 200098
18 201495
19 199689
20 200589

About David George Lambert

David George Lambert is a scholar working on Cellular and Molecular Neuroscience, Anesthesiology and Pain Medicine, Molecular Biology, Sensory Systems and Surgery, having authored 318 papers that have together received 8.5k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (115 papers), Receptor Mechanisms and Signaling (20 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (15 papers), Anesthesia and Sedative Agents (14 papers), Ion channel regulation and function (9 papers), Ion Channels and Receptors (7 papers), Cannabis and Cannabinoid Research (6 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.5k citations), Anesthesiology and Pain Medicine (391 citations), Pharmacology (420 citations), Sensory Systems (110 citations) and Physiology (425 citations). David George Lambert has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Kazuyoshi Hirota, David J. Rowbotham, Girolamo Calò, Remo Guerrini, Stefan R. Nahorski, D Smart, Jonathan P. Thompson, Severo Salvadori, Darren Smart and John Leslie McDonald. Their work appears in journals such as British Journal of Anaesthesia, British Journal of Pharmacology, Naunyn-Schmiedeberg s Archives of Pharmacology, Biochemical Society Transactions and PLoS ONE.

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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