Matthew E. Mead
Impact in
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis
- Fungal Biology and Applications
- Cell Biology top 10%
- Plant Pathogens and Fungal Diseases
Papers in
-
- Mycotoxins in Agriculture and Food 8
- Mycorrhizal Fungi and Plant Interactions 4
-
- Antifungal resistance and susceptibility 11
- Co-authors
- Antonis Rokas (21 shared papers)Jacob L. Steenwyk (17 shared papers)Nicholas H. Oberlies (8 shared papers)Huzefa A. Raja (7 shared papers)Gustavo H. Goldman (13 shared papers)Jae‐Hyuk Yu (4 shared papers)Sonja L. Knowles (6 shared papers)Reuben J. Peters (2 shared papers)
- Journals
- mBio (4 papers)Genetics (3 papers)Microbiology Spectrum (2 papers)The Journal of Microbiology (1 paper)Molecular Microbiology (1 paper)
- Partner nations
- United StatesBrazilSouth Korea
In The Last Decade
Matthew E. Mead
25 papers receiving 757 citations
Peers
Comparison fields: 5 of 68
- Pharmacology 319
- Cell Biology 182
- Infectious Diseases 166
- Plant Science 308
- Molecular Biology 406
Countries citing papers authored by Matthew E. Mead
This map shows the geographic impact of Matthew E. Mead'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 Matthew E. Mead with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew E. Mead more than expected).
Fields of papers citing papers by Matthew E. Mead
This network shows the impact of papers produced by Matthew E. Mead. 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 Matthew E. Mead. The network helps show where Matthew E. Mead may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew E. Mead, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 111 | |
| 2 | 2020 | 105 | |
| 3 | 2018 | 60 | |
| 4 | 2011 | 46 | |
| 5 | 2020 | 43 | |
| 6 | 2019 | 43 | |
| 7 | 2017 | 43 | |
| 8 | 2020 | 38 | |
| 9 | 2021 | 36 | |
| 10 | 2020 | 33 | |
| 11 | 2021 | 32 | |
| 12 | 2019 | 31 | |
| 13 | 2020 | 28 | |
| 14 | 2020 | 23 | |
| 15 | 2022 | 20 | |
| 16 | 2014 | 14 | |
| 17 | 2021 | 13 | |
| 18 | 2019 | 11 | |
| 19 | 2022 | 8 | |
| 20 | 2016 | 7 |
About Matthew E. Mead
Matthew E. Mead is a scholar working on Plant Science, Infectious Diseases, Cell Biology, Molecular Biology and Pharmacology, having authored 25 papers that have together received 761 indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (11 papers), Antifungal resistance and susceptibility (11 papers), Mycotoxins in Agriculture and Food (8 papers), Microbial Natural Products and Biosynthesis (6 papers), Fungal Infections and Studies (5 papers), Mycorrhizal Fungi and Plant Interactions (4 papers), Fungal Biology and Applications (4 papers) and Infectious Diseases and Mycology (4 papers). The work is most often cited by research in Pharmacology (319 citations), Cell Biology (182 citations), Infectious Diseases (166 citations), Plant Science (308 citations) and Molecular Biology (406 citations). Matthew E. Mead has collaborated with scholars based in United States, Brazil and South Korea. Frequent co-authors include Antonis Rokas, Jacob L. Steenwyk, Nicholas H. Oberlies, Huzefa A. Raja, Gustavo H. Goldman, Jae‐Hyuk Yu, Sonja L. Knowles, Reuben J. Peters, Lilian Pereira Silva and Sladjana Prišić. Their work appears in journals such as mBio, Genetics, Microbiology Spectrum, The Journal of Microbiology and Molecular Microbiology.
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.