Christopher D. Verrico

2.0k citations
58 papers · 1.5k indexed · h-index 23
Topics
Neurotransmitter Receptor Influence on Behavior (24 papers)Cannabis and Cannabinoid Research (19 papers)Neuroscience and Neuropharmacology Research (11 papers)
Partner nations
United StatesItalyChina

In The Last Decade

Christopher D. Verrico

55 papers receiving 1.5k citations

Peers

Christopher D. Verrico
Comparison fields: 5 of 90
  • Cellular and Molecular Neuroscience 830
  • Pharmacology 672
  • Molecular Biology 316
  • Clinical Psychology 280
  • Cognitive Neuroscience 251
Replace Gabriel Braley with:
Gabriel Braley United States
Robert Hitzemann United States
Alexandra Šulcová Czechia
Lisa Macdougall United States
Christoph Fehr Germany
Alessandra Paparelli United Kingdom
G J Wang United States
Elinore McCance United States
Albert Batalla Netherlands
Cédric M. Hysek Switzerland
Christopher D. Verrico relative to Gabriel Braley United States Gabriel Braley's profile →
Citations per field
00.5×4.9×
Gabriel Braley · 1×
Citations per year

Countries citing papers authored by Christopher D. Verrico

Since Specialization
Citations

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

Fields of papers citing papers by Christopher D. Verrico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher D. Verrico. 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 Christopher D. Verrico. The network helps show where Christopher D. Verrico may publish in the future.

Co-authorship network of co-authors of Christopher D. Verrico

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 8
4 62
5 6
6 6
7 8
8 11
9 49
10 15
11 12
12 13
13 19
14 159
15 26
16 63
17 18
18 52
19 33
20 6

About Christopher D. Verrico

Christopher D. Verrico is a scholar working on Toxicology, Pharmacology and Cellular and Molecular Neuroscience, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (24 papers), Cannabis and Cannabinoid Research (19 papers) and Neuroscience and Neuropharmacology Research (11 papers). The work is most often cited by research in Toxicology (181 citations), Cellular and Molecular Neuroscience (830 citations) and Biological Psychiatry (102 citations). Christopher D. Verrico has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Robert H. Roth, Bertha K. Madras, Gregory M. Miller, Richard De La Garza, Thomas F. Newton, J. David Jentsch, David A. Lewis, James J. Mahoney, Thomas R. Kosten and Tony P. George. Their work appears in journals such as American Journal of Psychiatry, Scientific Reports and Biological Psychiatry.

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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