Justin LaVigne

531 citations
17 papers · 384 indexed · h-index 8
Topics
Neuropeptides and Animal Physiology (11 papers)Receptor Mechanisms and Signaling (7 papers)Pain Mechanisms and Treatments (6 papers)
Journals
Physiological ReviewsSHILAP Revista de lepidopterologíaScientific Reports

In The Last Decade

Justin LaVigne

17 papers receiving 379 citations

Peers

Justin LaVigne
Comparison fields: 5 of 66
  • Molecular Biology 154
  • Cellular and Molecular Neuroscience 146
  • Pharmacology 118
  • Physiology 103
  • Plant Science 51
Replace Bruno Pradier with:
Bruno Pradier Germany
Renny Abraham India
Antonio Rodríguez‐Gaztelumendi Spain
Attila Keresztes United States
Morteza Samini Iran
Baomiao Ma China
Letizia Antonilli Italy
Rocı́o Girón Spain
Carlos Henrique Alves Jesus Brazil
Justin LaVigne relative to Bruno Pradier Germany Bruno Pradier's profile →
Citations per field
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Bruno Pradier · 1×
Citations per year

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

17 of 17 papers shown
#WorkIndexed citations
1 2
2 2
3 3
4 9
5 4
6 80
7 45
8 7
9 74
10 5
11 2
12 7
13 76
14
Novel Molecular Strategies and Targets for Opioid Drug Discovery for the Treatment of Chronic Pain.
34
15 1
16 11
17 22

About Justin LaVigne

Justin LaVigne is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Pharmacology, having authored 17 papers that have together received 384 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (11 papers), Receptor Mechanisms and Signaling (7 papers) and Pain Mechanisms and Treatments (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (146 citations), Pharmacology (118 citations) and Physiology (103 citations). Justin LaVigne has collaborated with scholars based in United States, Poland and Germany. Frequent co-authors include John M. Streicher, Attila Keresztes, Val J. Watts, Carmen Dessauer, Rennolds S. Ostrom, Tarsis F. Brust, Roland Seifert, Tally M. Largent‐Milnes, Erika Liktor‐Busa and Wei Lei. Their work appears in journals such as Physiological Reviews, SHILAP Revista de lepidopterología and Scientific Reports.

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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