Justin LaVigne

531 total citations
17 papers, 384 citations indexed

About

Justin LaVigne is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Justin LaVigne has authored 17 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 6 papers in Physiology. Recurrent topics in Justin LaVigne's work include Neuropeptides and Animal Physiology (11 papers), Receptor Mechanisms and Signaling (7 papers) and Pain Mechanisms and Treatments (6 papers). Justin LaVigne is often cited by papers focused on Neuropeptides and Animal Physiology (11 papers), Receptor Mechanisms and Signaling (7 papers) and Pain Mechanisms and Treatments (6 papers). Justin LaVigne collaborates with scholars based in United States, Poland and Germany. Justin LaVigne's co-authors include John M. Streicher, Attila Keresztes, Val J. Watts, Rennolds S. Ostrom, Carmen Dessauer, Tarsis F. Brust, Roland Seifert, Tally M. Largent‐Milnes, Erika Liktor‐Busa and Wei Lei and has published in prestigious journals such as Physiological Reviews, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Justin LaVigne

17 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Justin LaVigne United States	8	154	146	118	103	51	17	384
Kushal Kumar India	10	163 1.1×	112 0.8×	82 0.7×	97 0.9×	26 0.5×	11	421
Cindy Barbosa United States	11	217 1.4×	233 1.6×	86 0.7×	115 1.1×	34 0.7×	13	488
Rungtip Soi‐ampornkul Thailand	11	141 0.9×	89 0.6×	83 0.7×	110 1.1×	86 1.7×	20	475
Morteza Samini Iran	13	96 0.6×	211 1.4×	96 0.8×	80 0.8×	26 0.5×	30	448
Bruno Pradier Germany	11	87 0.6×	123 0.8×	151 1.3×	106 1.0×	60 1.2×	24	439
Kwang-Ho Pyun South Korea	14	186 1.2×	91 0.6×	104 0.9×	96 0.9×	36 0.7×	28	586
Yea-Hyun Leem South Korea	15	170 1.1×	89 0.6×	77 0.7×	111 1.1×	21 0.4×	16	430
Molly S. Crowe United States	11	170 1.1×	218 1.5×	388 3.3×	111 1.1×	30 0.6×	13	607
Attila Keresztes United States	14	249 1.6×	263 1.8×	153 1.3×	130 1.3×	53 1.0×	23	508
Ali Hosseini-Sharifabad Iran	12	103 0.7×	84 0.6×	118 1.0×	63 0.6×	28 0.5×	23	339

Countries citing papers authored by Justin LaVigne

Since Specialization

Citations

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

Fields of papers citing papers by Justin LaVigne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin LaVigne. 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 Justin LaVigne. The network helps show where Justin LaVigne may publish in the future.

Co-authorship network of co-authors of Justin LaVigne

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

All Works

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17 of 17 papers shown

Zhu, Hu, Jason M. Conley, Karavadhi Surendra, et al.. (2025). Discovery of novel and selective GPR17 antagonists as pharmacological tools for developing new therapeutic strategies in diabetes and obesity. European Journal of Medicinal Chemistry. 295. 117794–117794. 2 indexed citations

LaVigne, Justin, et al.. (2023). Pain-related behavioral and electrophysiological actions of dynorphin A (1-17). Molecular Pain. 19. 814387872–814387872. 2 indexed citations

LaVigne, Justin & Sascha R.A. Alles. (2022). CCK2 receptors in chronic pain. SHILAP Revista de lepidopterología. 11. 100092–100092. 9 indexed citations

Ptak, Christopher P., et al.. (2022). Protein-protein interaction-based high throughput screening for adenylyl cyclase 1 inhibitors: Design, implementation, and discovery of a novel chemotype. Frontiers in Pharmacology. 13. 977742–977742. 3 indexed citations

Scott, Jason A., Michael P. Hayes, Justin LaVigne, et al.. (2022). Optimization of a Pyrimidinone Series for Selective Inhibition of Ca ²⁺ /Calmodulin-Stimulated Adenylyl Cyclase 1 Activity for the Treatment of Chronic Pain. Journal of Medicinal Chemistry. 65(6). 4667–4686. 4 indexed citations

LaVigne, Justin, et al.. (2021). Cannabis sativa terpenes are cannabimimetic and selectively enhance cannabinoid activity. Scientific Reports. 11(1). 8232–8232. 80 indexed citations

Liktor‐Busa, Erika, Attila Keresztes, Justin LaVigne, John M. Streicher, & Tally M. Largent‐Milnes. (2021). Analgesic Potential of Terpenes Derived from Cannabis sativa. Pharmacological Reviews. 73(4). 1269–1297. 45 indexed citations

LaVigne, Justin, Tarsis F. Brust, Roland Seifert, et al.. (2021). Physiological roles of mammalian transmembrane adenylyl cyclase isoforms. Physiological Reviews. 102(2). 815–857. 74 indexed citations

Lee, Yeon Sun, Justin LaVigne, G Molnár, et al.. (2021). Multifunctional Enkephalin Analogs with a New Biological Profile: MOR/DOR Agonism and KOR Antagonism. Biomedicines. 9(6). 625–625. 7 indexed citations

10.

LaVigne, Justin, et al.. (2020). In Defense of the “Entourage Effect”: Terpenes Found in Cannabis sativa Activate the Cannabinoid Receptor 1 In Vitro. The FASEB Journal. 34(S1). 1–1. 2 indexed citations

11.

LaVigne, Justin, et al.. (2020). The endomorphin-1/2 and dynorphin-B peptides display biased agonism at the mu opioid receptor. Pharmacological Reports. 72(2). 465–471. 5 indexed citations

12.

LaVigne, Justin, et al.. (2020). In Defense of the “Entourage Effect”: Terpenes Found in Cannabis sativa Activate the Cannabinoid Receptor 1 In Vivo. The FASEB Journal. 34(S1). 1–1. 7 indexed citations

13.

Lei, Wei, et al.. (2017). Novel Molecular Strategies and Targets for Opioid Drug Discovery for the Treatment of Chronic Pain.. PubMed. 90(1). 97–110. 34 indexed citations

14.

Xie, Jennifer Y., Milena De Felice, Caroline Machado Kopruszinski, et al.. (2017). Kappa opioid receptor antagonists: A possible new class of therapeutics for migraine prevention. Cephalalgia. 37(8). 780–794. 76 indexed citations

15.

Edwards, Katie A., et al.. (2016). (285) Phosphatidylethanolamine-binding protein regulates Mu opioid receptor induced βarrestin2 recruitment and downstream signaling. Journal of Pain. 17(4). S47–S47. 1 indexed citations

16.

Lee, Yeon Sun, Justin LaVigne, Peg Davis, et al.. (2016). Structure–Activity Relationships of [des-Arg⁷]Dynorphin A Analogues at the κ Opioid Receptor. Journal of Medicinal Chemistry. 59(22). 10291–10298. 11 indexed citations

17.

Stevenson, Glenn W., Justin LaVigne, Denise Giuvelis, et al.. (2015). The mixed-action delta/mu opioid agonist MMP-2200 does not produce conditioned place preference but does maintain drug self-administration in rats, and induces in vitro markers of tolerance and dependence. Pharmacology Biochemistry and Behavior. 132. 49–55. 22 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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