Mark A. Simmons

1.1k total citations
42 papers, 892 citations indexed

About

Mark A. Simmons is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mark A. Simmons has authored 42 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cellular and Molecular Neuroscience, 28 papers in Molecular Biology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mark A. Simmons's work include Receptor Mechanisms and Signaling (20 papers), Neuropeptides and Animal Physiology (16 papers) and Ion channel regulation and function (13 papers). Mark A. Simmons is often cited by papers focused on Receptor Mechanisms and Signaling (20 papers), Neuropeptides and Animal Physiology (16 papers) and Ion channel regulation and function (13 papers). Mark A. Simmons collaborates with scholars based in United States, Japan and United Kingdom. Mark A. Simmons's co-authors include H. Criss Hartzell, Robert J. Mather, F. C. Battaglia, Giacomo Meschia, Nae J. Dun, John Lisman, Alfredo Kirkwood, Shane A. Perrine, Tony L. Creazzo and Takayuki Tokimasa and has published in prestigious journals such as Neuron, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Mark A. Simmons

42 papers receiving 860 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark A. Simmons United States 19 558 473 180 163 74 42 892
M. Silhol France 19 417 0.7× 405 0.9× 45 0.3× 266 1.6× 45 0.6× 28 1.2k
Graciela Dı́az-Torga Argentina 20 353 0.6× 111 0.2× 85 0.5× 91 0.6× 10 0.1× 54 1.1k
Pierre Hickel France 7 366 0.7× 255 0.5× 180 1.0× 75 0.5× 8 0.1× 7 750
Jacques Teulon France 27 1.6k 2.9× 331 0.7× 414 2.3× 228 1.4× 6 0.1× 70 2.0k
Dawei Zhang China 15 449 0.8× 386 0.8× 50 0.3× 174 1.1× 6 0.1× 45 981
David Naranjo Chile 17 736 1.3× 370 0.8× 235 1.3× 44 0.3× 10 0.1× 31 912
Timothy D. Westfall United Kingdom 20 348 0.6× 155 0.3× 104 0.6× 141 0.9× 13 0.2× 29 1.1k
Cédric S. Asensio United States 14 377 0.7× 214 0.5× 34 0.2× 247 1.5× 9 0.1× 22 876
Leigh Anne Swayne Canada 25 1.2k 2.1× 285 0.6× 72 0.4× 315 1.9× 10 0.1× 56 1.5k
Vi Pham Australia 20 770 1.4× 437 0.9× 110 0.6× 220 1.3× 5 0.1× 39 1.3k

Countries citing papers authored by Mark A. Simmons

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Simmons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark A. Simmons

This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Simmons. A scholar is included among the top collaborators of Mark A. Simmons 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 Mark A. Simmons. Mark A. Simmons 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.
Pombo, Joaquim, et al.. (2018). Pravastatin therapy during preeclampsia prevents long-term adverse health effects in mice. JCI Insight. 3(8). 36 indexed citations
2.
Simmons, Mark A., et al.. (2012). Repeated stressor exposure regionally enhances beta-adrenergic receptor-mediated brain IL-1β production. Brain Behavior and Immunity. 26(8). 1249–1255. 37 indexed citations
3.
Geldenhuys, Werner J. & Mark A. Simmons. (2011). 3D-Quantitative structure–activity relationship and docking studies of the tachykinin NK3 receptor. Bioorganic & Medicinal Chemistry Letters. 21(24). 7405–7411. 4 indexed citations
4.
Perrine, Shane A., Debbie J. Beard, John K. Young, & Mark A. Simmons. (2008). The role of the N-terminal and mid-region residues of substance P in regulating functional selectivity at the tachykinin NK1 receptor. European Journal of Pharmacology. 592(1-3). 1–6. 6 indexed citations
5.
Simmons, Mark A.. (2008). Let's Go Rafting: Ligand Functional Selectivity May Depend on Membrane Structure. Molecular Interventions. 8(6). 281–283. 1 indexed citations
6.
Simmons, Mark A.. (2006). Functional Selectivity of NK1 Receptor Signaling: Peptide Agonists Can Preferentially Produce Receptor Activation or Desensitization. Journal of Pharmacology and Experimental Therapeutics. 319(2). 907–913. 11 indexed citations
7.
Simmons, Mark A.. (2005). Functional Selectivity, Ligand-Directed Trafficking, Conformation-Specific Agonism: What's In A Name?. Molecular Interventions. 5(3). 154–157. 19 indexed citations
8.
Perrine, Shane A., et al.. (2005). Neurokinin-1 Receptor Resensitization Precedes Receptor Recycling. Journal of Pharmacology and Experimental Therapeutics. 313(3). 1347–1354. 8 indexed citations
9.
Perrine, Shane A., et al.. (2002). A Novel Mechanism of Neurokinin-1 Receptor Resensitization. Journal of Pharmacology and Experimental Therapeutics. 303(3). 1155–1162. 11 indexed citations
10.
Simmons, Mark A., et al.. (2001). Analysis of fluorescently labeled substance P analogs: binding, imaging and receptor activation. SHILAP Revista de lepidopterología. 1(1). 1–1. 25 indexed citations
11.
Simmons, Mark A., et al.. (1997). Molecular characterization and functional expression of a substance P receptor from the sympathetic ganglion of Rana catesbeiana. Neuroscience. 79(4). 1219–1229. 13 indexed citations
12.
Tokimasa, Takayuki, et al.. (1996). Hyperpolarizing shift of the M-current activation curve after washout of muscarine in bullfrog sympathetic neurons. Neuroscience Letters. 207(2). 97–100. 9 indexed citations
13.
Tokimasa, Takayuki, Masaaki Ito, Mark A. Simmons, et al.. (1995). Inhibition by wortmannin of M‐current in bullfrog sympathetic neurones. British Journal of Pharmacology. 114(2). 489–495. 26 indexed citations
14.
Simmons, Mark A., et al.. (1995). Gamma-aminobutyric acidA receptor function is modulated by cyclic GMP. Brain Research Bulletin. 37(1). 67–72. 8 indexed citations
15.
Akasu, Takashi, Masaaki Ito, Takashi Nakano, et al.. (1993). Myosin light chain kinase occurs in bullfrog sympathetic neurons and may modulate voltage-dependent potassium currents. Neuron. 11(6). 1133–1145. 44 indexed citations
16.
Simmons, Mark A., et al.. (1993). Amyloid β peptides act directly on single neurons. Neuroscience Letters. 150(2). 133–136. 74 indexed citations
17.
18.
Simmons, Mark A., et al.. (1989). An endogenous ‘hypertensive factor’ enhances the voltage‐dependent calcium current. FEBS Letters. 254(1-2). 137–140. 7 indexed citations
19.
Simmons, Mark A., Tony L. Creazzo, & H. Criss Hartzell. (1986). A time-dependent and voltage-sensitive K+ current in single cells from frog atrium.. The Journal of General Physiology. 88(6). 739–755. 36 indexed citations
20.
Simmons, Mark A. & Nae J. Dun. (1985). Synaptic transmission in the rabbit inferior mesenteric ganglion. Journal of the Autonomic Nervous System. 14(4). 335–350. 11 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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