Nathan J. Coffey

61 total papers · 1.2k total citations
20 papers, 593 citations indexed

About

Nathan J. Coffey is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nathan J. Coffey has authored 20 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pharmacology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nathan J. Coffey's work include Cannabis and Cannabinoid Research (9 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Nathan J. Coffey is often cited by papers focused on Cannabis and Cannabinoid Research (9 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Nathan J. Coffey collaborates with scholars based in United States, China and France. Nathan J. Coffey's co-authors include Joshua K. Park, Reşat Çınar, George Kunos, Tony Jourdan, Aaron Limoges, Anne Le, Malliga R. Iyer, Grzegorz Godlewski, M. Celeste Simon and Ken Mackie and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Cell Biology and SHILAP Revista de lepidopterología.

In The Last Decade

Nathan J. Coffey

19 papers receiving 588 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Nathan J. Coffey	245	188	110	95	83	20	593
Stefania Bellini	222 0.9×	116 0.6×	75 0.7×	49 0.5×	47 0.6×	20	579
Joshua K. Park	157 0.6×	171 0.9×	100 0.9×	92 1.0×	43 0.5×	27	569
Zhen-Zhou Zhang	166 0.7×	213 1.1×	51 0.5×	186 2.0×	96 1.2×	18	597
Mariela Méndez	295 1.2×	158 0.8×	40 0.4×	54 0.6×	34 0.4×	20	564
Fei Fang	237 1.0×	60 0.3×	49 0.4×	67 0.7×	33 0.4×	16	645
Elena Nobili	189 0.8×	57 0.3×	53 0.5×	130 1.4×	42 0.5×	16	563
P. V. Halushka	191 0.8×	178 0.9×	25 0.2×	64 0.7×	45 0.5×	27	671
W. Pignat	352 1.4×	82 0.4×	89 0.8×	47 0.5×	104 1.3×	23	663
Steven D. Funk	281 1.1×	48 0.3×	48 0.4×	77 0.8×	132 1.6×	16	637
Hongwei Li	165 0.7×	156 0.8×	56 0.5×	107 1.1×	50 0.6×	18	667

Countries citing papers authored by Nathan J. Coffey

Since Specialization

Citations

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

Fields of papers citing papers by Nathan J. Coffey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan J. Coffey. 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 Nathan J. Coffey. The network helps show where Nathan J. Coffey may publish in the future.

Co-authorship network of co-authors of Nathan J. Coffey

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

All Works

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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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