Maree T. Smith

10.2k citations
213 papers · 7.6k · h-index 45

Impact in

Papers in

Maree T. Smith

208 papers receiving 7.3k citations

Peers

Maree T. Smith
Comparison fields: 5 of 163
  • Anesthesiology and Pain Medicine 1.4k
  • Physiology 2.0k
  • Cellular and Molecular Neuroscience 1.2k
  • Pharmacology 477
  • Toxicology 159
Replace Albert Dahan with:
Albert Dahan Netherlands
Jörn Lötsch Germany
Erik Olofsen Netherlands
Asbjørn Mohr Drewes Denmark
Tong J. Gan United States
Donald R. Stanski United States
Emilio Perucca Italy
Richard W. McCallum United States
Douglas P. Zipes United States
Meindert Danhof Netherlands
Maree T. Smith relative to Albert Dahan Netherlands Albert Dahan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Maree T. Smith

Since Specialization
Citations

This map shows the geographic impact of Maree T. Smith'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 Maree T. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maree T. Smith more than expected).

Fields of papers citing papers by Maree T. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maree T. Smith. 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 Maree T. Smith. The network helps show where Maree T. Smith may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 213 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986489
2 2016294
3 1990274
4 1981242
5 2012231
6 2013218
7 2000195
8 1997165
9 1992162
10 2015158
11 2011147
12 2007147
13 2002132
14 1992122
15 200192
16 201792
17 199489
18 201389
19 200885
20 199582

About Maree T. Smith

Maree T. Smith is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Anesthesiology and Pain Medicine and Pharmacology, having authored 213 papers that have together received 7.6k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (90 papers), Neuropeptides and Animal Physiology (40 papers), Pain Management and Opioid Use (34 papers), Receptor Mechanisms and Signaling (14 papers), Neuroscience and Neuropharmacology Research (12 papers), Pharmacological Receptor Mechanisms and Effects (12 papers), Pharmacological Effects and Toxicity Studies (12 papers) and Pharmacological Effects of Natural Compounds (11 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (1.4k citations), Physiology (2.0k citations), Cellular and Molecular Neuroscience (1.2k citations), Pharmacology (477 citations) and Toxicology (159 citations). Maree T. Smith has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Tess Cramond, T.P. Barnwell, Felicity Y. Han, F. B. Ross, Nemat Khan, Bruce Wyse, J. A. Watt, Stephen R. Edwards, Arjun Muralidharan and Kim P. Leow. Their work appears in journals such as Clinical and Experimental Pharmacology and Physiology, Pain, European Journal of Clinical Pharmacology, Life Sciences and Frontiers in Pharmacology.

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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