Steven M. Gee

1.2k total citations
8 papers, 851 citations indexed

About

Steven M. Gee is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Steven M. Gee has authored 8 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 2 papers in Cognitive Neuroscience. Recurrent topics in Steven M. Gee's work include Neuroscience and Neuropharmacology Research (7 papers), Receptor Mechanisms and Signaling (4 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). Steven M. Gee is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Receptor Mechanisms and Signaling (4 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). Steven M. Gee collaborates with scholars based in United States. Steven M. Gee's co-authors include Vikaas S. Sohal, Tosha Patel, Karl Deisseroth, Francisco Luongo, Anthony T. Lee, Daniel Vogt, John L.R. Rubenstein, Véronique André, Michael S. Levine and Yvette E. Fisher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Steven M. Gee

8 papers receiving 841 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steven M. Gee United States	8	611	352	288	100	81	8	851
Roland Bock United States	11	802 1.3×	434 1.2×	286 1.0×	50 0.5×	83 1.0×	13	1.0k
Sara Migliarini Italy	15	408 0.7×	300 0.9×	189 0.7×	100 1.0×	56 0.7×	25	790
Florence Sotty Denmark	20	784 1.3×	468 1.3×	354 1.2×	108 1.1×	155 1.9×	32	1.1k
Susan Jones United Kingdom	15	813 1.3×	496 1.4×	242 0.8×	118 1.2×	42 0.5×	28	1.0k
Marcus W. Meinhardt Germany	13	502 0.8×	288 0.8×	212 0.7×	58 0.6×	88 1.1×	31	841
Ana D. Stan United States	8	404 0.7×	336 1.0×	337 1.2×	45 0.5×	81 1.0×	9	972
Cleiton Lopes‐Aguiar Brazil	15	487 0.8×	179 0.5×	284 1.0×	80 0.8×	53 0.7×	27	802
Mahomi Kuroiwa Japan	17	530 0.9×	588 1.7×	103 0.4×	130 1.3×	61 0.8×	27	985
Claudio M. Queiroz Brazil	17	417 0.7×	166 0.5×	237 0.8×	64 0.6×	80 1.0×	38	788

Countries citing papers authored by Steven M. Gee

Since Specialization

Citations

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

Fields of papers citing papers by Steven M. Gee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven M. Gee. 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 Steven M. Gee. The network helps show where Steven M. Gee may publish in the future.

Co-authorship network of co-authors of Steven M. Gee

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

All Works

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8 of 8 papers shown

Althaus, Alison L., Michael A. Ackley, Gabriel M. Belfort, et al.. (2020). Preclinical characterization of zuranolone (SAGE-217), a selective neuroactive steroid GABAA receptor positive allosteric modulator. Neuropharmacology. 181. 108333–108333. 89 indexed citations

Juarez-Salinas, Dina, et al.. (2019). GABAergic cell transplants in the anterior cingulate cortex reduce neuropathic pain aversiveness. Brain. 142(9). 2655–2669. 55 indexed citations

Gee, Steven M., et al.. (2017). D3 Receptors Regulate Excitability in a Unique Class of Prefrontal Pyramidal Cells. Journal of Neuroscience. 37(24). 5846–5860. 64 indexed citations

Urs, Nikhil M., Steven M. Gee, Thomas F. Pack, et al.. (2016). Distinct cortical and striatal actions of a β-arrestin–biased dopamine D2 receptor ligand reveal unique antipsychotic-like properties. Proceedings of the National Academy of Sciences. 113(50). E8178–E8186. 107 indexed citations

Lee, Anthony T., Steven M. Gee, Daniel Vogt, et al.. (2013). Pyramidal Neurons in Prefrontal Cortex Receive Subtype-Specific Forms of Excitation and Inhibition. Neuron. 81(1). 61–68. 152 indexed citations

Gee, Steven M., et al.. (2012). Synaptic Activity Unmasks Dopamine D2 Receptor Modulation of a Specific Class of Layer V Pyramidal Neurons in Prefrontal Cortex. Journal of Neuroscience. 32(14). 4959–4971. 170 indexed citations

Harwell, Corey C., Philip R. L. Parker, Steven M. Gee, et al.. (2012). Sonic Hedgehog Expression in Corticofugal Projection Neurons Directs Cortical Microcircuit Formation. Neuron. 73(6). 1116–1126. 83 indexed citations

Cummings, Damian M., Véronique André, Steven M. Gee, et al.. (2009). Alterations in Cortical Excitation and Inhibition in Genetic Mouse Models of Huntington's Disease. Journal of Neuroscience. 29(33). 10371–10386. 131 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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