Paul R. Davies

618 total citations
8 papers, 500 citations indexed

About

Paul R. Davies is a scholar working on Agronomy and Crop Science, Cardiology and Cardiovascular Medicine and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Paul R. Davies has authored 8 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Agronomy and Crop Science, 5 papers in Cardiology and Cardiovascular Medicine and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Paul R. Davies's work include Animal Disease Management and Epidemiology (7 papers), Viral Infections and Immunology Research (5 papers) and Vector-Borne Animal Diseases (5 papers). Paul R. Davies is often cited by papers focused on Animal Disease Management and Epidemiology (7 papers), Viral Infections and Immunology Research (5 papers) and Vector-Borne Animal Diseases (5 papers). Paul R. Davies collaborates with scholars based in United Kingdom, United States and Slovakia. Paul R. Davies's co-authors include Nick J. Knowles, A. R. Samuel, Jean‐François Valarcher, Alex Donaldson, R. Kitching, Peter W. Mason, Vivian O’Donnell, Tina M. Henry, Juan M. Pacheco and David Mackay and has published in prestigious journals such as The Journal of Immunology, Journal of Virology and Emerging infectious diseases.

In The Last Decade

Paul R. Davies

8 papers receiving 474 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Paul R. Davies United Kingdom	7	448	418	363	68	35	8	500
Hernando Duque United States	9	378 0.8×	394 0.9×	210 0.6×	167 2.5×	8 0.2×	10	479
H. O. Böhm Austria	5	199 0.4×	204 0.5×	71 0.2×	175 2.6×	55 1.6×	9	330
P Augé de Mello Germany	9	354 0.8×	327 0.8×	248 0.7×	74 1.1×	2 0.1×	19	398
E. Neitzert Brazil	10	614 1.4×	518 1.2×	502 1.4×	64 0.9×	2 0.1×	15	655
Paul Lawrence United States	10	188 0.4×	218 0.5×	73 0.2×	221 3.3×	2 0.1×	12	363
Dongdong Shen China	7	144 0.3×	79 0.2×	103 0.3×	44 0.6×	3 0.1×	21	229
G. Logan United Kingdom	7	106 0.2×	99 0.2×	123 0.3×	20 0.3×	3 0.1×	12	257
Paul A. Azzinaro United States	11	370 0.8×	248 0.6×	290 0.8×	78 1.1×		23	436
Camila Dias United States	10	317 0.7×	296 0.7×	220 0.6×	58 0.9×		14	390
Galina Koltsova Russia	7	240 0.5×	125 0.3×	209 0.6×	30 0.4×	2 0.1×	18	265

Countries citing papers authored by Paul R. Davies

Since Specialization

Citations

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

Fields of papers citing papers by Paul R. Davies

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul R. Davies. 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 Paul R. Davies. The network helps show where Paul R. Davies may publish in the future.

Co-authorship network of co-authors of Paul R. Davies

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

All Works

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8 of 8 papers shown

Knowles, Nick J., Paul R. Davies, Jean‐François Valarcher, et al.. (2008). Genetic characterization and molecular epidemiology of foot-and-mouth disease viruses isolated from Afghanistan in 2003–2005. Virus Genes. 36(2). 401–413. 32 indexed citations

Wayne, Spencer & Paul R. Davies. (2007). Exploring disease transmission risk through network analysis. University of Minnesota Digital Conservancy (University of Minnesota). 1 indexed citations

Armstrong, R.M., Sarah J. Cox, Neeraj Aggarwal, et al.. (2005). Detection of antibody to the foot-and-mouth disease virus (FMDV) non-structural polyprotein 3ABC in sheep by ELISA. Journal of Virological Methods. 125(2). 153–163. 21 indexed citations

Knowles, Nick J., et al.. (2005). Pandemic Strain of Foot-and-Mouth Disease Virus Serotype O. Emerging infectious diseases. 11(12). 1887–1893. 141 indexed citations

Knowles, Nick J., A. R. Samuel, Paul R. Davies, R. Kitching, & Alex Donaldson. (2001). Outbreak of foot-and-mouth disease virus serotype O in the UK caused by a pandemic strain.. PubMed. 148(9). 258–9. 129 indexed citations

Knowles, Nick J., Paul R. Davies, Tina M. Henry, et al.. (2001). Emergence in Asia of Foot-and-Mouth Disease Viruses with Altered Host Range: Characterization of Alterations in the 3A Protein. Journal of Virology. 75(3). 1551–1556. 98 indexed citations

Mackay, David, M. Forsyth, Paul R. Davies, & Jeremy Salt. (1998). Antibody to the nonstructural proteins of foot‐and‐mouth disease virus in vaccinated animals exposed to infection. Veterinary Quarterly. 20(sup2). 9–11. 39 indexed citations

Singer, Irwin, D W Kawka, Julie A. DeMartino, et al.. (1993). Optimal humanization of 1B4, an anti-CD18 murine monoclonal antibody, is achieved by correct choice of human V-region framework sequences. The Journal of Immunology. 150(7). 2844–2857. 39 indexed citations

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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