Catherine E. Goodfellow

419 citations
7 papers · 340 · h-index 6

Impact in

    • Cannabis and Cannabinoid Research
  • Toxicology top 10%
    • Forensic Toxicology and Drug Analysis

Papers in

Catherine E. Goodfellow

7 papers receiving 336 citations

Peers

Catherine E. Goodfellow
Comparison fields: 5 of 62
  • Pharmacology 209
  • Toxicology 22
  • Cellular and Molecular Neuroscience 116
  • Biological Psychiatry 9
  • Endocrine and Autonomic Systems 20
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G Patrini Italy
Sarah Bevan United Kingdom
Richard Tang‐Wai Canada
Michel Ségui France
Ainoa Rueda‐Zubiaurre Spain
Aleidy Patricio-Martínez Mexico
Nikola Jancovski Australia
Dennis C. Harvey United States
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Citations per field
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Citations per year

Countries citing papers authored by Catherine E. Goodfellow

Since Specialization
Citations

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

Fields of papers citing papers by Catherine E. Goodfellow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catherine E. Goodfellow. 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 Catherine E. Goodfellow. The network helps show where Catherine E. Goodfellow may publish in the future.

Co-authors

The 21 scholars most cited alongside Catherine E. Goodfellow, 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 Catherine E. Goodfellow Line = papers co-authored together Catherine E. Goodfellow links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2008101
2 201195
3 201167
4 200541
5 201121
6 200914
7 20251

About Catherine E. Goodfellow

Catherine E. Goodfellow is a scholar working on Pharmacology, Cellular and Molecular Neuroscience, Surgery, Infectious Diseases and Molecular Biology, having authored 7 papers that have together received 340 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Pancreatic function and diabetes (2 papers), HIV/AIDS drug development and treatment (1 paper), Tuberculosis Research and Epidemiology (1 paper), Biochemical and Molecular Research (1 paper) and Sleep and Wakefulness Research (1 paper). The work is most often cited by research in Pharmacology (209 citations), Toxicology (22 citations), Cellular and Molecular Neuroscience (116 citations), Biological Psychiatry (9 citations) and Endocrine and Autonomic Systems (20 citations). Catherine E. Goodfellow has collaborated with scholars based in New Zealand, United States and Hungary. Frequent co-authors include Michelle Glass, Natasha L. Grimsey, Mike Dragunow, Megan J. Dowie, E. Scott Graham, Emma L. Scotter, Rachel Y. Gao, Béla Horváth, Sándor Bátkai and Farah Javid-Majd. Their work appears in journals such as British Journal of Pharmacology, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Vitamins and hormones, Journal of Molecular Biology and Public Health in Practice.

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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