Grant English

15 total papers · 638 total citations
8 papers, 516 citations indexed

About

Grant English is a scholar working on Endocrinology, Molecular Biology and Molecular Medicine. According to data from OpenAlex, Grant English has authored 8 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, 4 papers in Molecular Biology and 3 papers in Molecular Medicine. Recurrent topics in Grant English's work include Vibrio bacteria research studies (5 papers), Escherichia coli research studies (4 papers) and Antibiotic Resistance in Bacteria (3 papers). Grant English is often cited by papers focused on Vibrio bacteria research studies (5 papers), Escherichia coli research studies (4 papers) and Antibiotic Resistance in Bacteria (3 papers). Grant English collaborates with scholars based in United Kingdom, United States and Netherlands. Grant English's co-authors include Sarah J. Coulthurst, Katharina Trunk, Maximilian Fritsch, Sarah Murdoch, Ehsan Pourkarimi, William N. Hunter, Vincenzo A. Rao, Srikannathasan Velupillai, Victoria A. McGuire and Fiona E. Mitchell and has published in prestigious journals such as PLoS ONE, Biochemical Journal and Journal of Bacteriology.

In The Last Decade

Grant English

8 papers receiving 510 citations

Author Peers

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

Author Last Decade Papers Cites
Grant English 306 196 136 123 39 8 516
Timothy Tapscott 120 0.4× 217 1.1× 66 0.5× 119 1.0× 20 0.5× 9 455
Shehryar Ahmad 281 0.9× 219 1.1× 142 1.0× 170 1.4× 9 0.2× 14 505
Stefan Behr 92 0.3× 284 1.4× 37 0.3× 227 1.8× 34 0.9× 12 483
Niamh Ní Bhriain 143 0.5× 352 1.8× 145 1.1× 299 2.4× 18 0.5× 10 600
Maria Wagner 192 0.6× 287 1.5× 82 0.6× 135 1.1× 11 0.3× 15 588
Anita Kraiß 186 0.6× 229 1.2× 60 0.4× 114 0.9× 8 0.2× 10 507
Van Son Nguyen 402 1.3× 183 0.9× 185 1.4× 190 1.5× 4 0.1× 13 583
Keith S. Robinson 346 1.1× 182 0.9× 56 0.4× 130 1.1× 6 0.2× 8 539
Meenakumari Muthuramalingam 119 0.4× 378 1.9× 54 0.4× 120 1.0× 26 0.7× 17 592
Andreas Beranek 80 0.3× 215 1.1× 41 0.3× 98 0.8× 30 0.8× 10 456

Countries citing papers authored by Grant English

Since Specialization
Citations

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

Fields of papers citing papers by Grant English

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grant English

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