Farrell Wymore
Impact in
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis
- Fungal Biology and Applications
- Infectious Diseases top 10%
- Antifungal resistance and susceptibility
- Tuberculosis Research and Epidemiology
Papers in
-
- Genomics and Phylogenetic Studies 3
- Biomedical Text Mining and Ontologies 1
- Microbial Metabolic Engineering and Bioproduction 1
-
- Antifungal resistance and susceptibility 2
- Tuberculosis Research and Epidemiology 1
- Co-authors
- Gavin Sherlock (8 shared papers)Diane O. Inglis (4 shared papers)Marek S. Skrzypek (4 shared papers)Jonathan Binkley (4 shared papers)Prachi Shah (4 shared papers)Martha B. Arnaud (4 shared papers)Jennifer R. Wortman (2 shared papers)Gustavo Cerqueira (2 shared papers)
- Journals
- Nucleic Acids Research (3 papers)BMC Bioinformatics (2 papers)BMC Microbiology (1 paper)Tuberculosis (1 paper)Eukaryotic Cell (1 paper)
- Partner nations
- United States
In The Last Decade
Farrell Wymore
8 papers receiving 580 citations
Peers
Comparison fields: 5 of 61
- Pharmacology 205
- Infectious Diseases 143
- Molecular Biology 337
- Cell Biology 75
- Biotechnology 39
Countries citing papers authored by Farrell Wymore
This map shows the geographic impact of Farrell Wymore'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 Farrell Wymore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farrell Wymore more than expected).
Fields of papers citing papers by Farrell Wymore
This network shows the impact of papers produced by Farrell Wymore. 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 Farrell Wymore. The network helps show where Farrell Wymore may publish in the future.
Co-authors
The 25 scholars most cited alongside Farrell Wymore, 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 | 2013 | 218 | |
| 2 | 2013 | 209 | |
| 3 | 2010 | 87 | |
| 4 | 2013 | 28 | |
| 5 | 2012 | 21 | |
| 6 | 2013 | 15 | |
| 7 | 2008 | 2 | |
| 8 | 2007 | 1 |
About Farrell Wymore
Farrell Wymore is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Periodontics and Pharmacology, having authored 8 papers that have together received 581 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Oral microbiology and periodontitis research (2 papers), Antifungal resistance and susceptibility (2 papers), Tuberculosis Research and Epidemiology (1 paper), Biomedical Text Mining and Ontologies (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Pharmacology (205 citations), Infectious Diseases (143 citations), Molecular Biology (337 citations), Cell Biology (75 citations) and Biotechnology (39 citations). Farrell Wymore has collaborated with scholars based in United States. Frequent co-authors include Gavin Sherlock, Diane O. Inglis, Marek S. Skrzypek, Jonathan Binkley, Prachi Shah, Martha B. Arnaud, Jennifer R. Wortman, Gustavo Cerqueira, Stuart R. Miyasato and Gail Binkley. Their work appears in journals such as Nucleic Acids Research, BMC Bioinformatics, BMC Microbiology, Tuberculosis and Eukaryotic Cell.
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.