Daniel S. McQueen

4.6k citations
93 papers · 3.6k indexed · h-index 38

Daniel S. McQueen

93 papers receiving 3.5k citations

Peers

Daniel S. McQueen
Comparison fields: 5 of 118
  • Endocrine and Autonomic Systems 1.1k
  • Sensory Systems 360
  • Cellular and Molecular Neuroscience 1.2k
  • Physiology 1.5k
  • Physiology 236
Replace Paolo Santicioli with:
Paolo Santicioli Italy
F. Lembeck Austria
Tarek A. Samad United States
Hidetoshi Tozaki‐Saitoh Japan
Alessandro Lecci Italy
Temugin Berta United States
Hironobu Yoshimatsu Japan
Gin C. Hsieh United States
A. Léon Italy
Gerhard Skofitsch Austria
Daniel S. McQueen relative to Paolo Santicioli Italy Paolo Santicioli's profile →
Citations per field
00.5×2.7×
Paolo Santicioli · 1×
Citations per year

Countries citing papers authored by Daniel S. McQueen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. McQueen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. McQueen. 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 Daniel S. McQueen. The network helps show where Daniel S. McQueen may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2007118
2 200759
3 200729
4 200668
5 200514
6 200423
7 20014
8 200113
9 200158
10 20005
11 199918
12 1998125
13 199871
14 199825
15 19986
16 199512
17 199537
18 199330
19
Actions of PGE2 and cicaprost on the sensitivity of high-threshold mechanoreceptors in normal and inflamed ankle joints of the anaesthetized rat
19904
20 198919

About Daniel S. McQueen

Daniel S. McQueen is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Physiology, Physiology and Sensory Systems, having authored 93 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (35 papers), Pain Mechanisms and Treatments (25 papers), Receptor Mechanisms and Signaling (19 papers), Neuropeptides and Animal Physiology (18 papers), Heart Rate Variability and Autonomic Control (12 papers), Sleep and Wakefulness Research (11 papers), Neurobiology and Insect Physiology Research (6 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.1k citations), Sensory Systems (360 citations), Cellular and Molecular Neuroscience (1.2k citations), Physiology (1.5k citations) and Physiology (236 citations). Daniel S. McQueen has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Joaquim A. Ribeiro, Jonathan R. Seckl, Iain P. Chessell, Lucy F. Donaldson, G.J. Birrell, Susan M. Bond, Blair D. Grubb, A. Iggo, R J Docherty and Anthony J. Harmar. Their work appears in journals such as British Journal of Pharmacology, The Journal of Physiology, European Journal of Pharmacology, Journal of Cardiovascular Pharmacology and British Journal of Clinical 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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