Gregory S. May

7.5k citations
82 papers · 4.9k · h-index 40

Impact in

    • Antifungal resistance and susceptibility
  • Cell Biology top 0.5%
    • Microtubule and mitosis dynamics
    • Plant Pathogens and Fungal Diseases

Papers in

Gregory S. May

82 papers receiving 4.8k citations

Peers

Gregory S. May
Comparison fields: 5 of 117
  • Infectious Diseases 1.5k
  • Cell Biology 1.3k
  • Pharmacology 908
  • Molecular Biology 2.9k
  • Plant Science 1.4k
Replace Sven Krappmann with:
Sven Krappmann Germany
Robert A. Cramer United States
Nir Osherov Israel
Elaine Bignell United Kingdom
Maria Helena S. Goldman Brazil
Mikio Arisawa Japan
Judith C. Rhodes United States
Yun C. Chang United States
Matthias Brock Germany
María E. Cárdenas United States
Gregory S. May relative to Sven Krappmann Germany Sven Krappmann's profile →
Citations per field
00.5×1.5×2.4×
Sven Krappmann · 1×
Citations per year

Countries citing papers authored by Gregory S. May

Since Specialization
Citations

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

Fields of papers citing papers by Gregory S. May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gregory S. 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 Gregory S. May Line = papers co-authored together Gregory S. May links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989259
2 1987258
3 2001227
4 2008202
5 2008188
6 2003180
7 2000180
8 1995174
9 2008153
10 1987152
11 1999147
12 2008142
13 1987137
14 1990119
15 1998118
16 1985109
17 200499
18 199290
19 198983
20 200676

About Gregory S. May

Gregory S. May is a scholar working on Molecular Biology, Infectious Diseases, Pharmacology, Cell Biology and Plant Science, having authored 82 papers that have together received 4.9k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (44 papers), Antifungal resistance and susceptibility (22 papers), Microbial Natural Products and Biosynthesis (13 papers), Fungal Biology and Applications (10 papers), Mycotoxins in Agriculture and Food (10 papers), Fungal Infections and Studies (8 papers), 14-3-3 protein interactions (7 papers) and Plant Pathogens and Fungal Diseases (6 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Cell Biology (1.3k citations), Pharmacology (908 citations), Molecular Biology (2.9k citations) and Plant Science (1.4k citations). Gregory S. May has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Nir Osherov, Dimitrios P. Kontoyiannis, Stephen A. Osmani, Norman Morris, Richard B. Waring, Xiang Y. Han, N. Ronald Morris, Angela Romans, Roxanne A. Yamashita and Jeffrey J. Tarrand. Their work appears in journals such as Gene, The Journal of Cell Biology, Fungal Genetics and Biology, Journal of Biological Chemistry and Antimicrobial Agents and Chemotherapy.

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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