Peter J. Harvison

59 total papers · 917 total citations
30 papers, 812 citations indexed

About

Peter J. Harvison is a scholar working on Pharmacology, Plant Science and Molecular Biology. According to data from OpenAlex, Peter J. Harvison has authored 30 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pharmacology, 9 papers in Plant Science and 7 papers in Molecular Biology. Recurrent topics in Peter J. Harvison's work include Drug-Induced Hepatotoxicity and Protection (14 papers), Pharmacogenetics and Drug Metabolism (12 papers) and Pesticide Exposure and Toxicity (9 papers). Peter J. Harvison is often cited by papers focused on Drug-Induced Hepatotoxicity and Protection (14 papers), Pharmacogenetics and Drug Metabolism (12 papers) and Pesticide Exposure and Toxicity (9 papers). Peter J. Harvison collaborates with scholars based in United States, Sweden and Ghana. Peter J. Harvison's co-authors include Mats Rundgren, Peter Moldéus, Emanuele Albano, Sidney D. Nelson, Sidney D. Nelson, Sidney D. Nelson, F. Peter Guengerich, Mohamed S. Rashed, Alexander K. Nyarko and Ruy Tchao and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry and Biochemical Pharmacology.

In The Last Decade

Peter J. Harvison

30 papers receiving 789 citations

Author Peers

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

Author						Papers	Cites
Peter J. Harvison	461	197	174	134	104	30	812
J.A. Castro	388 0.8×	238 1.2×	120 0.7×	143 1.1×	156 1.5×	57	1.0k
George J. Traiger	407 0.9×	166 0.8×	127 0.7×	120 0.9×	54 0.5×	34	816
Francis J. Peterson	216 0.5×	238 1.2×	105 0.6×	63 0.5×	106 1.0×	29	978
M.I. Díaz Gómez	338 0.7×	200 1.0×	139 0.8×	84 0.6×	51 0.5×	50	763
H.M. Wortelboer	343 0.7×	400 2.0×	200 1.1×	55 0.4×	117 1.1×	17	871
Frank E. Greene	389 0.8×	211 1.1×	126 0.7×	106 0.8×	22 0.2×	45	1.0k
Marlene E. Kyle	314 0.7×	323 1.6×	126 0.7×	137 1.0×	78 0.8×	17	932
Mi‐Sook Dong	366 0.8×	387 2.0×	143 0.8×	83 0.6×	60 0.6×	40	935
Clarke Davison	291 0.6×	238 1.2×	118 0.7×	83 0.6×	56 0.5×	19	907
Randolph J. McMurtry	422 0.9×	179 0.9×	117 0.7×	131 1.0×	41 0.4×	15	764

Countries citing papers authored by Peter J. Harvison

Since Specialization

Citations

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

Fields of papers citing papers by Peter J. Harvison

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter J. Harvison

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Harvison. A scholar is included among the top collaborators of Peter J. Harvison 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 Peter J. Harvison. Peter J. Harvison 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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