Gavin P. Schmitz

1.3k total citations · 2 hit papers
11 papers, 893 citations indexed

About

Gavin P. Schmitz is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Clinical Psychology. According to data from OpenAlex, Gavin P. Schmitz has authored 11 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 3 papers in Clinical Psychology. Recurrent topics in Gavin P. Schmitz's work include Receptor Mechanisms and Signaling (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Psychedelics and Drug Studies (3 papers). Gavin P. Schmitz is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Psychedelics and Drug Studies (3 papers). Gavin P. Schmitz collaborates with scholars based in United States, China and Germany. Gavin P. Schmitz's co-authors include Michael R. Bruchas, Ream Al‐Hasani, Jordan G. McCall, Gunchul Shin, Yan Shi, Yihui Zhang, Daniel Y. Hong, Xia Li, Shuo Li and Wilson Z. Ray and has published in prestigious journals such as Cell, Neuron and Nature Neuroscience.

In The Last Decade

Gavin P. Schmitz

9 papers receiving 885 citations

Hit Papers

Wireless Optofluidic Systems for Programmable In Vivo Pha... 2015 2026 2018 2022 2015 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gavin P. Schmitz United States 7 621 305 235 186 70 11 893
Ali Jahanshahi Netherlands 26 883 1.4× 254 0.8× 180 0.8× 379 2.0× 84 1.2× 97 1.8k
Daniel Y. Hong United States 7 486 0.8× 140 0.5× 233 1.0× 236 1.3× 68 1.0× 20 926
Gerard Joey Broussard United States 11 742 1.2× 547 1.8× 75 0.3× 312 1.7× 58 0.8× 13 1.2k
Po‐Han Chiang Taiwan 14 403 0.6× 153 0.5× 290 1.2× 82 0.4× 108 1.5× 21 771
Vladimir Rančić Canada 9 376 0.6× 196 0.6× 272 1.2× 83 0.4× 68 1.0× 16 767
Ao Dong China 11 434 0.7× 248 0.8× 73 0.3× 191 1.0× 59 0.8× 18 823
Aaron J. Norris United States 15 608 1.0× 418 1.4× 204 0.9× 251 1.3× 86 1.2× 21 1.2k
Jenny-Marie T. Wong United States 7 461 0.7× 360 1.2× 83 0.4× 244 1.3× 35 0.5× 8 898
Galit Pelled United States 21 473 0.8× 166 0.5× 97 0.4× 348 1.9× 28 0.4× 53 1.2k

Countries citing papers authored by Gavin P. Schmitz

Since Specialization
Citations

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

Fields of papers citing papers by Gavin P. Schmitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gavin P. Schmitz. 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 Gavin P. Schmitz. The network helps show where Gavin P. Schmitz may publish in the future.

Co-authorship network of co-authors of Gavin P. Schmitz

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

All Works

11 of 11 papers shown
1.
Schmitz, Gavin P., et al.. (2025). Psychedelic compounds directly excite 5-HT2A layer V medial prefrontal cortex neurons through 5-HT2A Gq activation. Translational Psychiatry. 15(1). 381–381.
2.
Wang, Yue, Youwen Zhuang, Jeffrey F. DiBerto, et al.. (2023). Structures of the entire human opioid receptor family. Cell. 186(2). 413–427.e17. 106 indexed citations breakdown →
3.
Schmitz, Gavin P. & Bryan L. Roth. (2023). G protein-coupled receptors as targets for transformative neuropsychiatric therapeutics. American Journal of Physiology-Cell Physiology. 325(1). C17–C28. 7 indexed citations
4.
Schmitz, Gavin P., Manish K. Jain, Samuel T. Slocum, & Bryan L. Roth. (2022). 5-HT2A SNPs Alter the Pharmacological Signaling of Potentially Therapeutic Psychedelics. ACS Chemical Neuroscience. 13(16). 2386–2398. 22 indexed citations
5.
Al‐Hasani, Ream, Raajaram Gowrishankar, Gavin P. Schmitz, et al.. (2021). Ventral tegmental area GABAergic inhibition of cholinergic interneurons in the ventral nucleus accumbens shell promotes reward reinforcement. Nature Neuroscience. 24(10). 1414–1428. 57 indexed citations
6.
Al‐Hasani, Ream, Omar S. Mabrouk, Jordan G. McCall, et al.. (2018). In vivo detection of optically-evoked opioid peptide release. eLife. 7. 54 indexed citations
7.
Al‐Hasani, Ream, Jordan G. McCall, Omar S. Mabrouk, et al.. (2017). Circuit dynamics of in vivo dynorphn release in the nucleus accumbens. Alcohol. 60. 220–220. 1 indexed citations
8.
Al‐Hasani, Ream, Jordan G. McCall, Gunchul Shin, et al.. (2015). Distinct Subpopulations of Nucleus Accumbens Dynorphin Neurons Drive Aversion and Reward. Neuron. 87(5). 1063–1077. 256 indexed citations
9.
Jeong, Jae‐Woong, Jordan G. McCall, Gunchul Shin, et al.. (2015). Wireless Optofluidic Systems for Programmable In Vivo Pharmacology and Optogenetics. Cell. 162(3). 662–674. 387 indexed citations breakdown →
10.
Bonnet, Jacques, Felix W. Frueh, Philìppe Bertrand, et al.. (2003). Pharmacogenetics: From Bench to Bedside. Clinical Chemistry and Laboratory Medicine (CCLM). 41(4). 610–4. 2 indexed citations
11.
Schmitz, Gavin P.. (1998). Microsoft Liquid Motion by Design: An Example-packed Guide to Creting Web Animations Using Microsoft Liquid Motion. 1 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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