John A. Saunders

535 total citations
8 papers, 441 citations indexed

About

John A. Saunders is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, John A. Saunders has authored 8 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 3 papers in Molecular Biology. Recurrent topics in John A. Saunders's work include Neuroscience and Neuropharmacology Research (4 papers), Neural dynamics and brain function (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). John A. Saunders is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Neural dynamics and brain function (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). John A. Saunders collaborates with scholars based in United States. John A. Saunders's co-authors include Steven J. Siegel, Michael J. Gandal, Valérie Tatard-Leitman, Eddie N. Billingslea, Robert E. Featherstone, Timothy P. L. Roberts, Yuling Liang, Catherine R. Jutzeler, Richard S. Ehrlichman and Chang-Gyu Hahn and has published in prestigious journals such as Biological Psychiatry, Neuropsychopharmacology and Neurosurgery.

In The Last Decade

John A. Saunders

8 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John A. Saunders United States 7 312 241 145 66 59 8 441
Eddie N. Billingslea United States 8 266 0.9× 197 0.8× 173 1.2× 98 1.5× 49 0.8× 11 438
Michel Engeln France 16 440 1.4× 205 0.9× 158 1.1× 37 0.6× 53 0.9× 22 693
Jaswinder Kumar United States 8 154 0.5× 171 0.7× 192 1.3× 96 1.5× 68 1.2× 10 597
Tiffany Carle United States 5 313 1.0× 73 0.3× 258 1.8× 68 1.0× 40 0.7× 7 517
Katherine Leaderbrand United States 10 231 0.7× 153 0.6× 160 1.1× 64 1.0× 17 0.3× 11 461
Ana‐Clara Bobadilla United States 15 532 1.7× 212 0.9× 312 2.2× 27 0.4× 46 0.8× 19 699
Arati S. Kreibich United States 9 257 0.8× 126 0.5× 174 1.2× 65 1.0× 36 0.6× 10 479
Allie J. Widman United States 8 236 0.8× 217 0.9× 151 1.0× 183 2.8× 106 1.8× 12 520
Anni S. Lee United States 8 233 0.7× 183 0.8× 142 1.0× 40 0.6× 22 0.4× 8 409
Elizabeth E. Manning Australia 11 229 0.7× 149 0.6× 86 0.6× 25 0.4× 35 0.6× 19 383

Countries citing papers authored by John A. Saunders

Since Specialization
Citations

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

Fields of papers citing papers by John A. Saunders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John A. Saunders

This figure shows the co-authorship network connecting the top 25 collaborators of John A. Saunders. A scholar is included among the top collaborators of John A. Saunders 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 John A. Saunders. John A. Saunders is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Tatard-Leitman, Valérie, Catherine R. Jutzeler, John A. Saunders, et al.. (2014). Pyramidal Cell Selective Ablation of N-Methyl-D-Aspartate Receptor 1 Causes Increase in Cellular and Network Excitability. Biological Psychiatry. 77(6). 556–568. 82 indexed citations
2.
Billingslea, Eddie N., Valérie Tatard-Leitman, Catherine R. Jutzeler, et al.. (2014). Parvalbumin Cell Ablation of NMDA-R1 Causes Increased Resting Network Excitability with Associated Social and Self-Care Deficits. Neuropsychopharmacology. 39(7). 1603–1613. 95 indexed citations
3.
Saunders, John A., et al.. (2013). Knockout of NMDA Receptors in Parvalbumin Interneurons Recreates Autism‐Like Phenotypes. Autism Research. 6(2). 69–77. 77 indexed citations
4.
Featherstone, Robert E., Michael J. Gandal, Yuling Liang, et al.. (2012). Nicotine normalizes event related potentials in COMT-Val-tg mice and increases gamma and theta spectral density.. Behavioral Neuroscience. 126(2). 332–343. 9 indexed citations
5.
Saunders, John A., Michael J. Gandal, Timothy P. L. Roberts, & Steven J. Siegel. (2012). NMDA antagonist MK801 recreates auditory electrophysiology disruption present in autism and other neurodevelopmental disorders. Behavioural Brain Research. 234(2). 233–237. 33 indexed citations
6.
Saunders, John A., Michael J. Gandal, & Steven J. Siegel. (2012). NMDA antagonists recreate signal-to-noise ratio and timing perturbations present in schizophrenia. Neurobiology of Disease. 46(1). 93–100. 73 indexed citations
7.
Featherstone, Robert E., Yuling Liang, John A. Saunders, et al.. (2012). Subchronic ketamine treatment leads to permanent changes in EEG, cognition and the astrocytic glutamate transporter EAAT2 in mice. Neurobiology of Disease. 47(3). 338–346. 66 indexed citations
8.
Saunders, John A., et al.. (2012). Electroencephalographic Changes Following Direct Current Deep Brain Stimulation of Auditory Cortex. Neurosurgery. 72(2). 267–275. 6 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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