G. R. E. Naylor

31 total papers · 544 total citations
17 papers, 397 citations indexed

About

G. R. E. Naylor is a scholar working on Epidemiology, Endocrinology and Genetics. According to data from OpenAlex, G. R. E. Naylor has authored 17 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 5 papers in Endocrinology and 3 papers in Genetics. Recurrent topics in G. R. E. Naylor's work include Urinary Tract Infections Management (3 papers), Iron Metabolism and Disorders (3 papers) and Salmonella and Campylobacter epidemiology (3 papers). G. R. E. Naylor is often cited by papers focused on Urinary Tract Infections Management (3 papers), Iron Metabolism and Disorders (3 papers) and Salmonella and Campylobacter epidemiology (3 papers). G. R. E. Naylor collaborates with scholars based in United Kingdom, United States and Nepal. G. R. E. Naylor's co-authors include Simon A. J. Warner, Ray F. White, Luis A. J. Mur, Jane M. Sugars, John Draper, J. Nagington, R. J. Olds, A. Williams and Paul Chadwick and has published in prestigious journals such as Nature, The Lancet and The Journal of Immunology.

In The Last Decade

G. R. E. Naylor

17 papers receiving 336 citations

Author Peers

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

Author						Papers	Cites
G. R. E. Naylor	149	102	67	65	63	17	397
G. Manno	132 0.9×	63 0.6×	77 1.1×	90 1.4×	95 1.5×	21	422
Preben Larsen	144 1.0×	84 0.8×	53 0.8×	15 0.2×	212 3.4×	15	416
Dana Blackburn	82 0.6×	33 0.3×	82 1.2×	34 0.5×	176 2.8×	13	335
Haejeong Lee	92 0.6×	33 0.3×	114 1.7×	25 0.4×	70 1.1×	14	332
Estela M. Galván	73 0.5×	43 0.4×	96 1.4×	35 0.5×	199 3.2×	18	446
Lixin Zhang	211 1.4×	71 0.7×	155 2.3×	22 0.3×	101 1.6×	28	416
Yin Ching Chuang	37 0.2×	71 0.7×	94 1.4×	53 0.8×	118 1.9×	17	386
Sarah E. Anderson	44 0.3×	43 0.4×	53 0.8×	166 2.6×	203 3.2×	20	440
Christopher Coker	25 0.2×	54 0.5×	206 3.1×	90 1.4×	104 1.7×	10	406
Bhoj Kumar	23 0.2×	28 0.3×	92 1.4×	80 1.2×	128 2.0×	15	357

Countries citing papers authored by G. R. E. Naylor

Since Specialization

Citations

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

Fields of papers citing papers by G. R. E. Naylor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. R. E. Naylor. 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 G. R. E. Naylor. The network helps show where G. R. E. Naylor may publish in the future.

Co-authorship network of co-authors of G. R. E. Naylor

This figure shows the co-authorship network connecting the top 25 collaborators of G. R. E. Naylor. A scholar is included among the top collaborators of G. R. E. Naylor 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 G. R. E. Naylor. G. R. E. Naylor 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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