Tom W. May

17.3k citations
142 papers · 3.5k · 2 hit papers · h-index 28

Impact in

Papers in

Tom W. May

132 papers receiving 3.3k citations

Tom W. May's Hit Papers

High-level classification of the Fungi and a tool for evolutionary ecological analyses 2018 · 467 citations
4670+5+11Years since publication200400600

Peers

Tom W. May
Comparison fields: 5 of 120
  • Cell Biology 1.1k
  • Insect Science 851
  • Plant Science 2.3k
  • Ecology, Evolution, Behavior and Systematics 1.1k
  • Pharmacology 578
Replace Marjo Helander with:
Marjo Helander Finland
Kari Saikkonen Finland
Hirokazu Toju Japan
Trude Vrålstad Norway
Akifumi S. Tanabe Japan
József Geml Netherlands
Imke Schmitt Germany
Kazuhide Nara Japan
Martin I. Bidartondo United Kingdom
Ellen Larsson Sweden
Tom W. May relative to Marjo Helander Finland Marjo Helander's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tom W. May

Since Specialization
Citations

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

Fields of papers citing papers by Tom W. May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tom W. May, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tom W. May Line = papers co-authored together Tom W. May links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ectomycorrhizal lifestyle in fungi: global diversity, distribution, and evolution of phylogenetic lineages
Hit paper breakdown →
2009729
2
High-level classification of the Fungi and a tool for evolutionary ecological analyses
Hit paper breakdown →
2018467
3 2006220
4 1994135
5 1981107
6 2015105
7 202189
8 200772
9 201167
10 200762
11 200251
12 201050
13 201948
14 202044
15 200843
16 202142
17 201742
18 202140
19 200940
20 202139

About Tom W. May

Tom W. May is a scholar working on Plant Science, Cell Biology, Ecology, Evolution, Behavior and Systematics, Pharmacology and Molecular Biology, having authored 142 papers that have together received 3.5k indexed citations. Recurring topics across this work include Mycorrhizal Fungi and Plant Interactions (79 papers), Plant Pathogens and Fungal Diseases (78 papers), Lichen and fungal ecology (44 papers), Fungal Biology and Applications (28 papers), Yeasts and Rust Fungi Studies (13 papers), Species Distribution and Climate Change (8 papers), Plant and animal studies (8 papers) and Environmental Toxicology and Ecotoxicology (6 papers). The work is most often cited by research in Cell Biology (1.1k citations), Insect Science (851 citations), Plant Science (2.3k citations), Ecology, Evolution, Behavior and Systematics (1.1k citations) and Pharmacology (578 citations). Tom W. May has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Leho Tedersoo, Matthew E. Smith, Andrew W. Claridge, Urmas Kõljalg, Martin Ryberg, Kessy Abarenkov, Santiago Sánchez‐Ramírez, Markus Döring, Mohammad Bahram and Dmitry Schigel. Their work appears in journals such as IMA Fungus, Taxon, Mycologia, Fungal ecology and MycoKeys.

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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