Peter Eddershaw

39 total papers · 2.1k total citations
30 papers, 1.5k citations indexed

About

Peter Eddershaw is a scholar working on Pharmacology, Oncology and Molecular Biology. According to data from OpenAlex, Peter Eddershaw has authored 30 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pharmacology, 11 papers in Oncology and 10 papers in Molecular Biology. Recurrent topics in Peter Eddershaw's work include Pharmacogenetics and Drug Metabolism (17 papers), Drug Transport and Resistance Mechanisms (10 papers) and Computational Drug Discovery Methods (9 papers). Peter Eddershaw is often cited by papers focused on Pharmacogenetics and Drug Metabolism (17 papers), Drug Transport and Resistance Mechanisms (10 papers) and Computational Drug Discovery Methods (9 papers). Peter Eddershaw collaborates with scholars based in United Kingdom, United States and Australia. Peter Eddershaw's co-authors include Michael H. Tarbit, Peter S. Goldfarb, Maurice Dickins, Alan Beresford, David F. Lewis, Martin K. Bayliss, Chris Luscombe, D. F. V. Lewis, Anne Hersey and Brad Sherborne and has published in prestigious journals such as Bioinformatics, Journal of Medicinal Chemistry and American Journal of Obstetrics and Gynecology.

In The Last Decade

Peter Eddershaw

29 papers receiving 1.4k citations

Author Peers

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

Author						Papers	Cites
Peter Eddershaw	638	523	462	357	292	30	1.5k
Rupert P. Austin	624 1.0×	515 1.0×	599 1.3×	548 1.5×	367 1.3×	29	1.8k
Patrick Barton	528 0.8×	578 1.1×	674 1.5×	406 1.1×	313 1.1×	34	1.7k
Theodore E. Liston	634 1.0×	280 0.5×	625 1.4×	522 1.5×	240 0.8×	29	2.0k
David J. Rance	833 1.3×	216 0.4×	635 1.4×	450 1.3×	178 0.6×	18	1.7k
B. Michael Silber	649 1.0×	229 0.4×	691 1.5×	451 1.3×	305 1.0×	49	2.0k
Chuang Lu	1.1k 1.7×	302 0.6×	658 1.4×	746 2.1×	167 0.6×	56	2.3k
Susanne Winiwarter	253 0.4×	476 0.9×	507 1.1×	438 1.2×	292 1.0×	40	1.6k
Zhengyin Yan	582 0.9×	272 0.5×	799 1.7×	366 1.0×	296 1.0×	59	1.8k
Dermot F. McGinnity	1.1k 1.7×	346 0.7×	684 1.5×	799 2.2×	223 0.8×	41	2.0k
Claire Mackie	489 0.8×	419 0.8×	789 1.7×	394 1.1×	259 0.9×	49	2.0k

Countries citing papers authored by Peter Eddershaw

Since Specialization

Citations

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

Fields of papers citing papers by Peter Eddershaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Eddershaw

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