Philip Davey

23 total papers · 406 total citations
9 papers, 76 citations indexed

About

Philip Davey is a scholar working on Surgery, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Philip Davey has authored 9 papers receiving a total of 76 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Pathology and Forensic Medicine and 2 papers in Molecular Biology. Recurrent topics in Philip Davey's work include Folate and B Vitamins Research (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Adenosine and Purinergic Signaling (1 paper). Philip Davey is often cited by papers focused on Folate and B Vitamins Research (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Adenosine and Purinergic Signaling (1 paper). Philip Davey collaborates with scholars based in United Kingdom and United States. Philip Davey's co-authors include Mark E. O’Donnell, Jamie Murphy, J. Hywel Thomas, Reena Merard, Thomas Jue, John S. Hutchinson, Jim McGuigan, Paul Bass, Robert J. Kennedy and Stephen Kirk and has published in prestigious journals such as Journal of Vascular Surgery, Biochemical Society Transactions and Clinical Endocrinology.

In The Last Decade

Philip Davey

9 papers receiving 73 citations

Author Peers

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

Author						Papers	Cites
Philip Davey	49	30	15	12	10	9	76
Gianfranco Aprigliano	70 1.4×	51 1.7×	7 0.5×	3 0.3×	30 3.0×	10	215
Eva Lovrić	49 1.0×	21 0.7×	10 0.7×	2 0.2×	17 1.7×	12	82
Jonathan Finch	27 0.6×	58 1.9×	8 0.5×	6 0.5×	24 2.4×	10	123
Sree B. Chalasani	24 0.5×	26 0.9×	17 1.1×	2 0.2×	20 2.0×	15	81
Susan Collins	40 0.8×	11 0.4×	17 1.1×	10 0.8×	86 8.6×	11	216
L Zieliński	39 0.8×	53 1.8×	4 0.3×	23 1.9×	53 5.3×	13	217
Francesca E. Ludwinski	99 2.0×	25 0.8×	101 6.7×	4 0.3×	45 4.5×	10	213
Kanako Fujita	40 0.8×	20 0.7×	4 0.3×	2 0.2×	8 0.8×	13	66
Jean Philippe Rerolle	36 0.7×	25 0.8×	11 0.7×	1 0.1×	12 1.2×	10	79
V. Saracino	33 0.7×	9 0.3×	7 0.5×	9 0.8×	10 1.0×	9	62

Countries citing papers authored by Philip Davey

Since Specialization

Citations

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

Fields of papers citing papers by Philip Davey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Davey

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