Gail Binkley
- Molecular Biology top 5%
- Infectious Diseases top 5%
- Plant Science top 5%
- Epidemiology top 10%
- Food Science top 5%
- Co-authors
- Marek S. SkrzypekStuart R. MiyasatoGavin SherlockMatt SimisonJ. Michael CherryRama BalakrishnanJonathan BinkleyShuai Weng
- Topics
- Fungal and yeast genetics research (11 papers)Bioinformatics and Genomic Networks (7 papers)Microbial Metabolic Engineering and Bioproduction (7 papers)
- Journals
- Nucleic Acids ResearchMethods in enzymology on CD-ROM/Methods in enzymologyJournal of Orthopaedic and Sports Physical Therapy
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Gail Binkley
23 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.7k
- Infectious Diseases 538
- Plant Science 372
- Epidemiology 347
- Food Science 255
Countries citing papers authored by Gail Binkley
This map shows the geographic impact of Gail Binkley'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 Gail Binkley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gail Binkley more than expected).
Fields of papers citing papers by Gail Binkley
This network shows the impact of papers produced by Gail Binkley. 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 Gail Binkley. The network helps show where Gail Binkley may publish in the future.
Co-authorship network of co-authors of Gail Binkley
This figure shows the co-authorship network connecting the top 25 collaborators of Gail Binkley. A scholar is included among the top collaborators of Gail Binkley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gail Binkley. Gail Binkley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 24 | |
| 3 | 8 | |
| 4 | 13 | |
| 5 | TheCandidaGenome Database (CGD): incorporation of Assembly 22, systematic identifiers and visualization of high throughput sequencing databreakdown → | 310 |
| 6 | 20 | |
| 7 | 50 | |
| 8 | 205 | |
| 9 | 28 | |
| 10 | 207 | |
| 11 | 166 | |
| 12 | 132 | |
| 13 | 51 | |
| 14 | 18 | |
| 15 | 99 | |
| 16 | 58 | |
| 17 | 19 | |
| 18 | 1 | |
| 19 | Saccharomyces genome databasebreakdown → | 531 |
| 20 | 56 |
About Gail Binkley
Gail Binkley is a scholar working on Food Science, Periodontics and Infectious Diseases, having authored 23 papers that have together received 2.3k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (11 papers), Bioinformatics and Genomic Networks (7 papers) and Microbial Metabolic Engineering and Bioproduction (7 papers). The work is most often cited by research in Infectious Diseases (538 citations), Molecular Biology (1.7k citations) and Pharmacology (248 citations). Gail Binkley has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Marek S. Skrzypek, Stuart R. Miyasato, Gavin Sherlock, Matt Simison, J. Michael Cherry, Rama Balakrishnan, Jonathan Binkley, Shuai Weng, Diane O. Inglis and Maria C. Costanzo. Their work appears in journals such as Nucleic Acids Research, Methods in enzymology on CD-ROM/Methods in enzymology and Journal of Orthopaedic and Sports Physical Therapy.
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.