G. Wibberley

30 total papers · 424 total citations
28 papers, 327 citations indexed

About

G. Wibberley is a scholar working on Immunology, Epidemiology and Agronomy and Crop Science. According to data from OpenAlex, G. Wibberley has authored 28 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 9 papers in Epidemiology and 7 papers in Agronomy and Crop Science. Recurrent topics in G. Wibberley's work include T-cell and Retrovirus Studies (16 papers), Animal Disease Management and Epidemiology (7 papers) and Vector-Borne Animal Diseases (6 papers). G. Wibberley is often cited by papers focused on T-cell and Retrovirus Studies (16 papers), Animal Disease Management and Epidemiology (7 papers) and Vector-Borne Animal Diseases (6 papers). G. Wibberley collaborates with scholars based in United Arab Emirates, United Kingdom and Canada. G. Wibberley's co-authors include Debbie Roberts, Clive Pritchard, D. Chasey, David J. Paton, G. Ibata, Steve Anderson, Jason Sawyer, David A. Westcott, B. Adair and D. Todd and has published in prestigious journals such as Journal of Immunological Methods, Veterinary Microbiology and Veterinary Record.

In The Last Decade

G. Wibberley

28 papers receiving 307 citations

Author Peers

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

Author						Papers	Cites
G. Wibberley	158	137	122	113	66	28	327
Robert Tremblay	176 1.1×	66 0.5×	106 0.9×	114 1.0×	80 1.2×	18	353
Baker Ja	158 1.0×	51 0.4×	139 1.1×	110 1.0×	86 1.3×	20	358
Janet V. Warg	140 0.9×	162 1.2×	84 0.7×	81 0.7×	107 1.6×	23	337
R.A. Huck	151 1.0×	59 0.4×	123 1.0×	111 1.0×	154 2.3×	21	354
Roberto Soares de Castro	177 1.1×	91 0.7×	52 0.4×	120 1.1×	31 0.5×	45	361
Johnson Dw	117 0.7×	103 0.8×	95 0.8×	70 0.6×	45 0.7×	34	352
DiGiacomo Rf	83 0.5×	114 0.8×	63 0.5×	64 0.6×	64 1.0×	25	359
Juliana Torres Tomazi Fritzen	150 0.9×	46 0.3×	109 0.9×	131 1.2×	70 1.1×	46	351
Veysel Soydal Ataseven	127 0.8×	36 0.3×	110 0.9×	117 1.0×	66 1.0×	37	323
Guanggang Ma	94 0.6×	58 0.4×	107 0.9×	98 0.9×	57 0.9×	14	332

Countries citing papers authored by G. Wibberley

Since Specialization

Citations

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

Fields of papers citing papers by G. Wibberley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Wibberley

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