G. W. Tannock

55 total papers · 1.8k total citations
29 papers, 1.4k citations indexed

About

G. W. Tannock is a scholar working on Food Science, Nutrition and Dietetics and Molecular Biology. According to data from OpenAlex, G. W. Tannock has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Food Science, 13 papers in Nutrition and Dietetics and 12 papers in Molecular Biology. Recurrent topics in G. W. Tannock's work include Probiotics and Fermented Foods (18 papers), Microbial Metabolites in Food Biotechnology (9 papers) and Gut microbiota and health (9 papers). G. W. Tannock is often cited by papers focused on Probiotics and Fermented Foods (18 papers), Microbial Metabolites in Food Biotechnology (9 papers) and Gut microbiota and health (9 papers). G. W. Tannock collaborates with scholars based in New Zealand, Netherlands and United States. G. W. Tannock's co-authors include Hermie J. M. Harmsen, Karen Munro, James Smart, G. W. Welling, Pramod K. Gopal, Vance J. McCracken, H. Rex Gaskins, Dwayne C. Savage, Howard F. Jenkinson and Jens Walter and has published in prestigious journals such as Applied and Environmental Microbiology, Infection and Immunity and European Journal of Clinical Nutrition.

In The Last Decade

G. W. Tannock

29 papers receiving 1.3k citations

Hit Papers

Analysis of the Fecal Mic... 2000 2026 2008 2017 2000 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
G. W. Tannock 888 792 476 188 165 29 1.4k
Jaya Prasad 1.4k 1.5× 988 1.2× 688 1.4× 199 1.1× 154 0.9× 17 1.8k
Diane M. Loach 930 1.0× 1.0k 1.3× 457 1.0× 210 1.1× 163 1.0× 19 1.6k
Miriam Bermúdez-Brito 952 1.1× 997 1.3× 468 1.0× 238 1.3× 177 1.1× 18 1.8k
Andrea Monteagudo-Mera 796 0.9× 889 1.1× 546 1.1× 139 0.7× 155 0.9× 24 1.5k
Ivàn A. Casas 1.0k 1.2× 768 1.0× 531 1.1× 271 1.4× 181 1.1× 21 1.5k
Elina Tuomola 1.3k 1.5× 916 1.2× 756 1.6× 122 0.6× 135 0.8× 14 1.6k
Klaudyna Borewicz 412 0.5× 921 1.2× 449 0.9× 262 1.4× 129 0.8× 27 1.5k
Sergio Muñoz‐Quezada 926 1.0× 1.1k 1.4× 399 0.8× 254 1.4× 159 1.0× 14 1.8k
Sylvie Hudault 914 1.0× 1.1k 1.4× 400 0.8× 432 2.3× 156 0.9× 24 1.7k
Nikki Horn 958 1.1× 977 1.2× 501 1.1× 137 0.7× 207 1.3× 39 1.7k

Countries citing papers authored by G. W. Tannock

Since Specialization
Citations

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

Fields of papers citing papers by G. W. Tannock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. W. Tannock

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