Stewart D. Clark

2.7k total citations
44 papers, 2.1k citations indexed

About

Stewart D. Clark is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Stewart D. Clark has authored 44 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cellular and Molecular Neuroscience, 19 papers in Cognitive Neuroscience and 13 papers in Molecular Biology. Recurrent topics in Stewart D. Clark's work include Sleep and Wakefulness Research (18 papers), Neuropeptides and Animal Physiology (13 papers) and Receptor Mechanisms and Signaling (10 papers). Stewart D. Clark is often cited by papers focused on Sleep and Wakefulness Research (18 papers), Neuropeptides and Animal Physiology (13 papers) and Receptor Mechanisms and Signaling (10 papers). Stewart D. Clark collaborates with scholars based in United States, Canada and Germany. Stewart D. Clark's co-authors include Rainer K. Reinscheid, Naoe Okamura, Shawn R. Currie, Duncan A. A. MacLaren, Olivier Civelli, David C. Hodgins, Kay Jüngling, Nady el‐Guebaly, Zhiwei Wang and Salvador Huitrón‐Reséndiz and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Neuron.

In The Last Decade

Stewart D. Clark

42 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stewart D. Clark United States 20 1.2k 1.1k 552 444 362 44 2.1k
Thomas C. Jhou United States 25 2.3k 1.9× 1.4k 1.3× 519 0.9× 977 2.2× 215 0.6× 41 3.2k
Gilbert J. Kirouac Canada 24 1.1k 0.9× 1.5k 1.4× 993 1.8× 342 0.8× 352 1.0× 49 2.5k
María Pompeiano Italy 20 1.7k 1.5× 937 0.9× 502 0.9× 865 1.9× 187 0.5× 57 2.6k
Kristi A. Kohlmeier Denmark 21 606 0.5× 974 0.9× 781 1.4× 398 0.9× 566 1.6× 104 1.8k
Susana Mingote United States 26 1.7k 1.4× 935 0.9× 226 0.4× 752 1.7× 133 0.4× 33 2.6k
Sharif A. Taha United States 19 1.0k 0.9× 1.1k 1.0× 814 1.5× 480 1.1× 383 1.1× 24 1.9k
William A. Truitt United States 25 758 0.6× 888 0.8× 690 1.3× 336 0.8× 511 1.4× 46 2.4k
Bianca Jupp Australia 25 876 0.7× 609 0.6× 231 0.4× 332 0.7× 243 0.7× 49 1.6k
Hiromasa Funato Japan 28 607 0.5× 804 0.7× 610 1.1× 809 1.8× 343 0.9× 76 2.7k
Sade Spencer United States 23 1.1k 0.9× 523 0.5× 459 0.8× 514 1.2× 156 0.4× 41 1.9k

Countries citing papers authored by Stewart D. Clark

Since Specialization
Citations

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

Fields of papers citing papers by Stewart D. Clark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stewart D. Clark. 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 Stewart D. Clark. The network helps show where Stewart D. Clark may publish in the future.

Co-authorship network of co-authors of Stewart D. Clark

This figure shows the co-authorship network connecting the top 25 collaborators of Stewart D. Clark. A scholar is included among the top collaborators of Stewart D. Clark based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stewart D. Clark. Stewart D. Clark is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Liwen, Seon‐Ung Hwang, HJ Lee, et al.. (2025). The patient-specific mouse model with Foxg1 frameshift mutation provides insights into the pathophysiology of FOXG1 syndrome. Nature Communications. 16(1). 4760–4760. 2 indexed citations
2.
Li, Min, Laura Soverchia, Scott P. Runyon, et al.. (2025). Sex-dependent role of Neuropeptide-S on anxiety, fear conditioning, and alcohol seeking in alcohol preferring rats. Neuropharmacology. 278. 110598–110598.
3.
Costa, Paula Carvalho, et al.. (2024). The Influence of the Estrous Cycle on Neuropeptide S Receptor-Mediated Behaviors. Journal of Pharmacology and Experimental Therapeutics. 391(3). 460–471. 2 indexed citations
4.
Costa, Paula Carvalho, et al.. (2023). RTI-263, a biased neuropeptide S receptor agonist that retains an anxiolytic effect, attenuates cocaine-seeking behavior in rats. Neuropharmacology. 241. 109743–109743. 6 indexed citations
5.
MacLaren, Duncan A. A., et al.. (2021). Human wildtype tau expression in cholinergic pedunculopontine tegmental neurons is sufficient to produce PSP‐like behavioural deficits and neuropathology. European Journal of Neuroscience. 54(10). 7688–7709. 7 indexed citations
6.
Chambers, Nicole, et al.. (2021). Effects of pedunculopontine nucleus cholinergic lesion on gait and dyskinesia in hemiparkinsonian rats. European Journal of Neuroscience. 53(8). 2835–2847. 9 indexed citations
7.
Uprety, Rajendra, Yanan Zhang, Rodney W. Snyder, et al.. (2021). Identification of a Novel Neuropeptide S Receptor Antagonist Scaffold Based on the SHA-68 Core. Pharmaceuticals. 14(10). 1024–1024. 1 indexed citations
8.
Markovic, Tamara, et al.. (2019). Microinjection of urotensin II into the pedunculopontine tegmentum leads to an increase in the consumption of sweet tastants. Physiology & Behavior. 215. 112775–112775. 1 indexed citations
9.
Michel, Patrick P., et al.. (2015). Role of pedunculopontine cholinergic neurons in the vulnerability of nigral dopaminergic neurons in Parkinson's disease. Experimental Neurology. 275. 209–219. 33 indexed citations
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Cyr, Marilyn, Maxime Parent, Naguib Mechawar, et al.. (2013). PET imaging with [18F]fluoroethoxybenzovesamicol ([18F]FEOBV) following selective lesion of cholinergic pedunculopontine tegmental neurons in rat. Nuclear Medicine and Biology. 41(1). 96–101. 19 indexed citations
13.
Wei, Si, Leah Aluisio, Naoe Okamura, et al.. (2010). Neuropeptide S stimulates dopaminergic neurotransmission in the medial prefrontal cortex. Journal of Neurochemistry. 115(2). 475–482. 54 indexed citations
14.
Okamura, Naoe, Celia Garau, Stewart D. Clark, et al.. (2010). Neuropeptide S Enhances Memory During the Consolidation Phase and Interacts with Noradrenergic Systems in the Brain. Neuropsychopharmacology. 36(4). 744–752. 105 indexed citations
15.
Hsiung, Marilyn S., et al.. (2009). The dopamine D4 receptor activates intracellular platelet-derived growth factor receptor β to stimulate ERK1/2. Cellular Signalling. 22(2). 285–290. 11 indexed citations
16.
Clark, Stewart D., et al.. (2009). Behavioral phenotyping of Neuropeptide S receptor knockout mice. Behavioural Brain Research. 205(1). 1–9. 89 indexed citations
17.
Clark, Stewart D., et al.. (2007). Fusion of diphtheria toxin and urotensin II produces a neurotoxin selective for cholinergic neurons in the rat mesopontine tegmentum. Journal of Neurochemistry. 102(1). 112–120. 30 indexed citations
18.
Nothacker, Hans‐Peter & Stewart D. Clark. (2005). From heart to mind. FEBS Journal. 272(22). 5694–5702. 17 indexed citations
19.
Reinscheid, Rainer K., Salvador Huitrón‐Reséndiz, Stewart D. Clark, et al.. (2004). Neuropeptide S. Neuron. 43(4). 487–497. 429 indexed citations
20.
Currie, Shawn R., et al.. (2003). Comprehensive Assessment of Insomnia in Recovering Alcoholics Using Daily Sleep Diaries and Ambulatory Monitoring. Alcoholism Clinical and Experimental Research. 27(8). 1262–1269. 64 indexed citations

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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Rankless by CCL
2026