Tom Martin

32 total papers · 706 total citations
17 papers, 444 citations indexed

About

Tom Martin is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Tom Martin has authored 17 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 4 papers in Cell Biology and 3 papers in Molecular Biology. Recurrent topics in Tom Martin's work include Plant-Microbe Interactions and Immunity (4 papers), Plant Pathogens and Resistance (4 papers) and Plant Pathogens and Fungal Diseases (4 papers). Tom Martin is often cited by papers focused on Plant-Microbe Interactions and Immunity (4 papers), Plant Pathogens and Resistance (4 papers) and Plant Pathogens and Fungal Diseases (4 papers). Tom Martin collaborates with scholars based in Sweden, Uganda and Netherlands. Tom Martin's co-authors include Christina Dixelius, P. Okori, M. Biruma, Herman van Tilbeurgh, Robert Debuchy, L. L. Vawdrey, Ingela Fridborg, B. Gillian Turgeon, Shunwen Lu and Daniel R. Ripoll and has published in prestigious journals such as PLoS ONE, Scientific Reports and PLoS Genetics.

In The Last Decade

Tom Martin

17 papers receiving 436 citations

Author Peers

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

Author						Papers	Cites
Tom Martin	285	179	95	91	52	17	444
William S. Cuddy	385 1.4×	143 0.8×	64 0.7×	51 0.6×	10 0.2×	11	457
J. F. Schafer	339 1.2×	126 0.7×	87 0.9×	44 0.5×	8 0.2×	26	461
Daniel Buchvaldt Amby	321 1.1×	171 1.0×	145 1.5×	28 0.3×	24 0.5×	19	473
Artur Dzialuk	169 0.6×	139 0.8×	31 0.3×	151 1.7×	24 0.5×	28	407
Anna Fitzgerald	246 0.9×	165 0.9×	89 0.9×	31 0.3×	18 0.3×	24	476
Ruiping Yang	340 1.2×	136 0.8×	15 0.2×	42 0.5×	36 0.7×	24	487
Markus Bönn	239 0.8×	193 1.1×	50 0.5×	48 0.5×	22 0.4×	13	444
Stéphanie Schürch	347 1.2×	104 0.6×	228 2.4×	55 0.6×	13 0.3×	16	464
Junmin Liang	344 1.2×	143 0.8×	151 1.6×	62 0.7×	22 0.4×	23	422
P. Rajendrakumar	283 1.0×	142 0.8×	11 0.1×	152 1.7×	52 1.0×	26	390

Countries citing papers authored by Tom Martin

Since Specialization

Citations

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

Fields of papers citing papers by Tom Martin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Martin

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