Gary F. Yates

22 total papers · 914 total citations
18 papers, 677 citations indexed

About

Gary F. Yates is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Gary F. Yates has authored 18 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 12 papers in Epidemiology and 5 papers in Molecular Biology. Recurrent topics in Gary F. Yates's work include Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (11 papers) and Immune responses and vaccinations (4 papers). Gary F. Yates is often cited by papers focused on Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (11 papers) and Immune responses and vaccinations (4 papers). Gary F. Yates collaborates with scholars based in New Zealand, United Kingdom and United States. Gary F. Yates's co-authors include Geoffrey W. de Lisle, Desmond M. Collins, Bryce M. Buddle, Rika Kawakami, D.L. Keen, Sonia M. Cavaignac, Luke C. M. Mackinder, Robert Crawford, L. E. Pearce and Anita Bell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Plant Cell and Applied and Environmental Microbiology.

In The Last Decade

Gary F. Yates

18 papers receiving 645 citations

Author Peers

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

Author Last Decade Papers Cites
Gary F. Yates 395 373 196 94 88 18 677
Marian Price-Carter 279 0.7× 207 0.6× 434 2.2× 49 0.5× 11 0.1× 25 734
A. E. Ritchie 62 0.2× 246 0.7× 234 1.2× 33 0.4× 11 0.1× 30 729
Paul G. Livingstone 222 0.6× 278 0.7× 277 1.4× 69 0.7× 5 0.1× 25 736
Norihiro Maeda 136 0.3× 163 0.4× 347 1.8× 143 1.5× 32 0.4× 12 641
M Coene 504 1.3× 245 0.7× 247 1.3× 38 0.4× 10 0.1× 28 716
Gerald F. Gerlach 252 0.6× 110 0.3× 234 1.2× 141 1.5× 3 0.0× 20 677
Ratree Platt 198 0.5× 249 0.7× 116 0.6× 107 1.1× 3 0.0× 22 650
Marjorie Pizarro‐Guajardo 130 0.3× 451 1.2× 178 0.9× 49 0.5× 8 0.1× 20 605
Ana Cristina Ferreira 300 0.8× 52 0.1× 67 0.3× 42 0.4× 10 0.1× 31 652
Felix Mba Medie 239 0.6× 258 0.7× 236 1.2× 24 0.3× 4 0.0× 18 613

Countries citing papers authored by Gary F. Yates

Since Specialization
Citations

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

Fields of papers citing papers by Gary F. Yates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary F. Yates. 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 Gary F. Yates. The network helps show where Gary F. Yates may publish in the future.

Co-authorship network of co-authors of Gary F. Yates

This figure shows the co-authorship network connecting the top 25 collaborators of Gary F. Yates. A scholar is included among the top collaborators of Gary F. Yates 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 Gary F. Yates. Gary F. Yates 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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