Catherine E. Goodfellow

416 total citations
7 papers, 337 citations indexed

About

Catherine E. Goodfellow is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Catherine E. Goodfellow has authored 7 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Surgery. Recurrent topics in Catherine E. Goodfellow's work include Cannabis and Cannabinoid Research (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). Catherine E. Goodfellow is often cited by papers focused on Cannabis and Cannabinoid Research (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). Catherine E. Goodfellow collaborates with scholars based in New Zealand, United States and Hungary. Catherine E. Goodfellow's co-authors include Michelle Glass, Natasha L. Grimsey, E. Scott Graham, Mike Dragunow, Emma L. Scotter, Megan J. Dowie, Galin Tanchian, Béla Horváth, Sándor Bátkai and Edward N. Baker and has published in prestigious journals such as Journal of Molecular Biology, British Journal of Pharmacology and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.

In The Last Decade

Catherine E. Goodfellow

6 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Catherine E. Goodfellow New Zealand	6	212	128	122	47	38	7	337
Erinn S. Raborn United States	7	352 1.7×	76 0.6×	163 1.3×	36 0.8×	69 1.8×	8	453
Sarah Bevan United Kingdom	9	300 1.4×	116 0.9×	257 2.1×	43 0.9×	93 2.4×	12	537
Michel Ségui France	7	338 1.6×	97 0.8×	191 1.6×	66 1.4×	104 2.7×	8	499
Richard Tang‐Wai Canada	10	85 0.4×	54 0.4×	50 0.4×	21 0.4×	30 0.8×	15	294
Ainoa Rueda‐Zubiaurre Spain	7	139 0.7×	81 0.6×	84 0.7×	12 0.3×	31 0.8×	10	317
Aleidy Patricio-Martínez Mexico	9	86 0.4×	91 0.7×	105 0.9×	18 0.4×	37 1.0×	15	314
U. Bauer Germany	11	217 1.0×	190 1.5×	348 2.9×	13 0.3×	87 2.3×	21	518
Lynn Webster United States	5	189 0.9×	81 0.6×	116 1.0×	33 0.7×	45 1.2×	5	329
Dennis C. Harvey United States	5	42 0.2×	72 0.6×	200 1.6×	7 0.1×	30 0.8×	6	326

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-authorship network of co-authors of Catherine E. Goodfellow

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

White, Jonathan M., et al.. (2025). Missed opportunities: The unknown impact of the COVID-19 pandemic on early childhood development in the WHO European region. Public Health in Practice. 10. 100636–100636.

Grimsey, Natasha L., Catherine E. Goodfellow, Mike Dragunow, & Michelle Glass. (2011). Cannabinoid receptor 2 undergoes Rab5-mediated internalization and recycles via a Rab11-dependent pathway. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1813(8). 1554–1560. 67 indexed citations

Goodfellow, Catherine E., E. Scott Graham, Mike Dragunow, & Michelle Glass. (2011). Characterization of NTera2/D1 cells as a model system for the investigation of cannabinoid function in human neurons and astrocytes. Journal of Neuroscience Research. 89(10). 1685–1697. 21 indexed citations

Horváth, Béla, Partha Mukhopadhyay, Sándor Bátkai, et al.. (2011). A new cannabinoid CB₂ receptor agonist HU‐910 attenuates oxidative stress, inflammation and cell death associated with hepatic ischaemia/reperfusion injury. British Journal of Pharmacology. 165(8). 2462–2478. 94 indexed citations

Goodfellow, Catherine E. & Michelle Glass. (2009). Chapter 4 Anandamide Receptor Signal Transduction. Vitamins and hormones. 81. 79–110. 14 indexed citations

Grimsey, Natasha L., Catherine E. Goodfellow, Emma L. Scotter, et al.. (2008). Specific detection of CB1 receptors; cannabinoid CB1 receptor antibodies are not all created equal!. Journal of Neuroscience Methods. 171(1). 78–86. 100 indexed citations

Goodfellow, Catherine E., et al.. (2005). The Crystal Structure of TrpD, a Metabolic Enzyme Essential for Lung Colonization by Mycobacterium tuberculosis, in Complex with its Substrate Phosphoribosylpyrophosphate. Journal of Molecular Biology. 355(4). 784–797. 41 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.

Explore authors with similar magnitude of impact