T. M. Timms‐Wilson

23 total papers · 1.0k total citations
12 papers, 690 citations indexed

About

T. M. Timms‐Wilson is a scholar working on Plant Science, Molecular Biology and Ecology. According to data from OpenAlex, T. M. Timms‐Wilson has authored 12 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 5 papers in Molecular Biology and 4 papers in Ecology. Recurrent topics in T. M. Timms‐Wilson's work include Plant-Microbe Interactions and Immunity (8 papers), Bacteriophages and microbial interactions (3 papers) and Plant Pathogenic Bacteria Studies (3 papers). T. M. Timms‐Wilson is often cited by papers focused on Plant-Microbe Interactions and Immunity (8 papers), Bacteriophages and microbial interactions (3 papers) and Plant Pathogenic Bacteria Studies (3 papers). T. M. Timms‐Wilson collaborates with scholars based in United Kingdom, United States and France. T. M. Timms‐Wilson's co-authors include Mark Bailey, Martin J. Day, Ashley Houlden, Richard J. Ellis, Dawn L. Arnold, Christina D. Moon, Andrew J. Spiers, D.J. Rhodes, Kerry Kilshaw and Anthony Renwick and has published in prestigious journals such as Molecular Ecology, Plant and Soil and Environmental Microbiology.

In The Last Decade

T. M. Timms‐Wilson

12 papers receiving 666 citations

Author Peers

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

Author Last Decade Papers Cites
T. M. Timms‐Wilson 454 239 163 85 70 12 690
Sonia Fischer 559 1.2× 224 0.9× 110 0.7× 30 0.4× 89 1.3× 23 708
Marlies van den Berg 296 0.7× 182 0.8× 114 0.7× 97 1.1× 68 1.0× 13 725
James A. Parejko 422 0.9× 241 1.0× 84 0.5× 26 0.3× 61 0.9× 9 636
Jacqueline Haurat 548 1.2× 193 0.8× 100 0.6× 43 0.5× 39 0.6× 13 664
Collin M. Timm 372 0.8× 235 1.0× 162 1.0× 51 0.6× 28 0.4× 25 718
Olga A. Lastovetsky 470 1.0× 194 0.8× 154 0.9× 57 0.7× 167 2.4× 9 758
Emilie Chapelle 419 0.9× 210 0.9× 69 0.4× 30 0.4× 110 1.6× 6 590
Jan SÃ ̧rensen 324 0.7× 212 0.9× 173 1.1× 38 0.4× 34 0.5× 17 667
Mark Lambrecht 496 1.1× 269 1.1× 83 0.5× 21 0.2× 34 0.5× 11 682
Morten Nedergaard Grell 356 0.8× 166 0.7× 75 0.5× 41 0.5× 135 1.9× 18 652

Countries citing papers authored by T. M. Timms‐Wilson

Since Specialization
Citations

This map shows the geographic impact of T. M. Timms‐Wilson'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 T. M. Timms‐Wilson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. M. Timms‐Wilson more than expected).

Fields of papers citing papers by T. M. Timms‐Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. M. Timms‐Wilson. 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 T. M. Timms‐Wilson. The network helps show where T. M. Timms‐Wilson may publish in the future.

Co-authorship network of co-authors of T. M. Timms‐Wilson

This figure shows the co-authorship network connecting the top 25 collaborators of T. M. Timms‐Wilson. A scholar is included among the top collaborators of T. M. Timms‐Wilson 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 T. M. Timms‐Wilson. T. M. Timms‐Wilson 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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