Phillip Swann

31 total papers · 768 total citations
19 papers, 555 citations indexed

About

Phillip Swann is a scholar working on Pharmacology, Toxicology and Experimental and Cognitive Psychology. According to data from OpenAlex, Phillip Swann has authored 19 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pharmacology, 9 papers in Toxicology and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Phillip Swann's work include Cannabis and Cannabinoid Research (9 papers), Forensic Toxicology and Drug Analysis (9 papers) and Sleep and Work-Related Fatigue (4 papers). Phillip Swann is often cited by papers focused on Cannabis and Cannabinoid Research (9 papers), Forensic Toxicology and Drug Analysis (9 papers) and Sleep and Work-Related Fatigue (4 papers). Phillip Swann collaborates with scholars based in Australia and United Kingdom. Phillip Swann's co-authors include Katherine Papafotiou, Luke A. Downey, Con Stough, Edward Ogden, Martin Boorman, Rebecca King, JM Rhodes, Graham G. Shaw, E D Srivastava and M. Sadlier and has published in prestigious journals such as Scientific Reports, Psychopharmacology and Accident Analysis & Prevention.

In The Last Decade

Phillip Swann

15 papers receiving 507 citations

Author Peers

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

Author						Papers	Cites
Phillip Swann	215	151	140	108	108	19	555
Edward Ogden	253 1.2×	210 1.4×	213 1.5×	58 0.5×	93 0.9×	28	675
Marcelline Burns	108 0.5×	90 0.6×	155 1.1×	37 0.3×	100 0.9×	29	570
Katherine Papafotiou	356 1.7×	292 1.9×	206 1.5×	34 0.3×	50 0.5×	17	613
Andrew Spurgin	389 1.8×	179 1.2×	191 1.4×	16 0.1×	54 0.5×	11	508
Morris Odell	91 0.4×	132 0.9×	61 0.4×	33 0.3×	51 0.5×	41	637
G Berghaus	411 1.9×	213 1.4×	229 1.6×	14 0.1×	40 0.4×	38	673
Nadia Mullen	87 0.4×	39 0.3×	67 0.5×	211 2.0×	64 0.6×	26	555
Alexander Brunnauer	102 0.5×	19 0.1×	59 0.4×	49 0.5×	97 0.9×	44	554
R.J. Lokan	180 0.8×	243 1.6×	120 0.9×	13 0.1×	30 0.3×	20	524
B. E. Smink	156 0.7×	330 2.2×	80 0.6×	9 0.1×	106 1.0×	16	669

Countries citing papers authored by Phillip Swann

Since Specialization

Citations

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

Fields of papers citing papers by Phillip Swann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip Swann

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip Swann. A scholar is included among the top collaborators of Phillip Swann 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 Phillip Swann. Phillip Swann 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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