Mitchell Longworth

1.4k citations
19 papers · 1.2k · h-index 16

Impact in

  • Toxicology top 0.1%
    • Forensic Toxicology and Drug Analysis
    • Cannabis and Cannabinoid Research

Papers in

Mitchell Longworth

19 papers receiving 1.2k citations

Peers

Mitchell Longworth
Comparison fields: 5 of 76
  • Toxicology 777
  • Pharmacology 742
  • Cellular and Molecular Neuroscience 418
  • Clinical Psychology 206
  • Pathology and Forensic Medicine 106
Replace Annelies Cannaert with:
Annelies Cannaert Belgium
Lisa K. Brents United States
Jakub Wojcieszak Poland
Dino Luethi Switzerland
Sabrine Bilel Italy
Roland Archer United Kingdom
Niels Bjerre Holm Denmark
George M. Milne United States
Julian A. Michely Germany
Andreas G. Helfer Germany
Mitchell Longworth relative to Annelies Cannaert Belgium Annelies Cannaert's profile →
Citations per field
00.5×9.5×
Annelies Cannaert · 1×
Citations per year

Countries citing papers authored by Mitchell Longworth

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell Longworth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mitchell Longworth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mitchell Longworth Line = papers co-authored together Mitchell Longworth links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2016216
2 2015206
3 2015171
4 201789
5 201380
6 201751
7 201746
8 201045
9 201941
10 202135
11 201634
12 201929
13 201329
14 201527
15 201123
16 202116
17 201914
18 201811
19 20191

About Mitchell Longworth

Mitchell Longworth is a scholar working on Pharmacology, Toxicology, Cellular and Molecular Neuroscience, Molecular Biology and Clinical Psychology, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (15 papers), Forensic Toxicology and Drug Analysis (11 papers), Neurotransmitter Receptor Influence on Behavior (8 papers), Neuroscience and Neuropharmacology Research (3 papers), Psychedelics and Drug Studies (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers) and Isotope Analysis in Ecology (1 paper). The work is most often cited by research in Toxicology (777 citations), Pharmacology (742 citations), Cellular and Molecular Neuroscience (418 citations), Clinical Psychology (206 citations) and Pathology and Forensic Medicine (106 citations). Mitchell Longworth has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Michael Kassiou, Samuel D. Banister, Mark Connor, Iain S. McGregor, Michelle Glass, Richard C. Kevin, Jordyn Stuart, Shane M. Wilkinson, Corinne Beinat and Marina Santiago. Their work appears in journals such as ACS Chemical Neuroscience, Forensic Toxicology, Drug Testing and Analysis, Cell Death Discovery and Neuropharmacology.

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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