Aric Wiest
Impact in
- Plant Science top 5%
- Plant-Microbe Interactions and Immunity
- Mycorrhizal Fungi and Plant Interactions
- Nematode management and characterization studies
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis
- Fungal Biology and Applications
Papers in
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- Fungal and yeast genetics research 8
- CRISPR and Genetic Engineering 4
-
- Plant-Microbe Interactions and Immunity 5
- Mycorrhizal Fungi and Plant Interactions 3
- Co-authors
- Charles M. Kenerley (5 shared papers)Kevin McCluskey (15 shared papers)Michael Plamann (3 shared papers)Walter A. Vargas (2 shared papers)Slavica Djonović (1 shared paper)Michael V. Kolomiets (1 shared paper)Ada Viterbo (1 shared paper)Yariv Brotman (1 shared paper)
- Journals
- Journal of Biosciences (2 papers)Journal of Biological Chemistry (2 papers)Molecular Plant Pathology (1 paper)Fungal Biology Reviews (1 paper)G3 Genes Genomes Genetics (1 paper)
- Partner nations
- United StatesFranceIndia
In The Last Decade
Aric Wiest
19 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 72
- Plant Science 842
- Pharmacology 291
- Cell Biology 297
- Molecular Biology 597
- Biotechnology 66
Countries citing papers authored by Aric Wiest
This map shows the geographic impact of Aric Wiest'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 Aric Wiest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aric Wiest more than expected).
Fields of papers citing papers by Aric Wiest
This network shows the impact of papers produced by Aric Wiest. 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 Aric Wiest. The network helps show where Aric Wiest may publish in the future.
Co-authors
The 25 scholars most cited alongside Aric Wiest, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 291 | |
| 2 | 2010 | 262 | |
| 3 | 2002 | 209 | |
| 4 | 2007 | 205 | |
| 5 | 2010 | 105 | |
| 6 | 2014 | 93 | |
| 7 | 2011 | 63 | |
| 8 | 2010 | 11 | |
| 9 | 2014 | 8 | |
| 10 | 2006 | 6 | |
| 11 | 2011 | 6 | |
| 12 | 2011 | 5 | |
| 13 | 2011 | 5 | |
| 14 | 2008 | 5 | |
| 15 | 2012 | 4 | |
| 16 | 2014 | 4 | |
| 17 | 2009 | 3 | |
| 18 | 2013 | 2 | |
| 19 | 2012 | 1 |
About Aric Wiest
Aric Wiest is a scholar working on Molecular Biology, Plant Science, Pharmacology, Cell Biology and Genetics, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (8 papers), Plant-Microbe Interactions and Immunity (5 papers), Plant Pathogens and Fungal Diseases (4 papers), Microbial Natural Products and Biosynthesis (4 papers), CRISPR and Genetic Engineering (4 papers), Antimicrobial Peptides and Activities (3 papers), Mycorrhizal Fungi and Plant Interactions (3 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Plant Science (842 citations), Pharmacology (291 citations), Cell Biology (297 citations), Molecular Biology (597 citations) and Biotechnology (66 citations). Aric Wiest has collaborated with scholars based in United States, France and India. Frequent co-authors include Charles M. Kenerley, Kevin McCluskey, Michael Plamann, Walter A. Vargas, Slavica Djonović, Michael V. Kolomiets, Ada Viterbo, Yariv Brotman, I. Chet and María E. Morán-Diez. Their work appears in journals such as Journal of Biosciences, Journal of Biological Chemistry, Molecular Plant Pathology, Fungal Biology Reviews and G3 Genes Genomes Genetics.
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.