Tom W. May

16.7k citations
140 papers · 3.4k indexed · 2 hit papers · h-index 28

Impact in

Papers in

Tom W. May

132 papers receiving 3.2k citations

Hit Papers

High-level classification of the Fungi and a tool for evolutionary ecological analyses 2018 · 456 citations
4562009202620142020200400600

Peers

Tom W. May
Comparison fields: 5 of 120
  • Cell Biology 1.1k
  • Insect Science 855
  • Plant Science 2.3k
  • Ecology, Evolution, Behavior and Systematics 1.1k
  • Nature and Landscape Conservation 423
Replace Marjo Helander with:
Marjo Helander Finland
Kari Saikkonen Finland
Trude Vrålstad Norway
Akifumi S. Tanabe Japan
József Geml Netherlands
Imke Schmitt Germany
Kazuhide Nara Japan
Martin I. Bidartondo United Kingdom
Ellen Larsson Sweden
Leonor Costa Maia Brazil
Tom W. May relative to Marjo Helander Finland Marjo Helander's profile →
Citations per field
00.5×
Marjo Helander · 1×
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-authorship network

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
#Work
1 20251
2 20240
3 20241
4 20243
5 20240
6 20241
7 20227
8 202136
9 20216
10
High-level classification of the Fungi and a tool for evolutionary ecological analyses
Hit paper breakdown →
2018456
11 201327
12
(117-119) Proposals to make the pre-publication deposit of key nomenclatural information in a recognized repository a requirement for valid publication of organisms treated as fungi under the Code
20102
13 20086
14 20072
15 20077
16 20034
17 200316
18 20032
19
The macrofungal community and fire in a Mountain Ash forest in southern Australia
200225
20 19881

About Tom W. May

Tom W. May is a scholar working on Cell Biology, Ecology, Evolution, Behavior and Systematics, Plant Science, Ecological Modeling and Pharmacology, having authored 140 papers that have together received 3.4k indexed citations. Recurring topics across this work include Mycorrhizal Fungi and Plant Interactions (78 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 Forest Ecology and Biodiversity Studies (7 papers). The work is most often cited by research in Cell Biology (1.1k citations), Insect Science (855 citations), Plant Science (2.3k citations), Ecology, Evolution, Behavior and Systematics (1.1k citations) and Nature and Landscape Conservation (423 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, Markus Döring, Santiago Sánchez‐Ramírez, Dmitry Schigel and Mohammad Bahram. 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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