Alan Cleary
Impact in
- Plant Science top 10%
- Genetic and Environmental Crop Studies
- Plant Molecular Biology Research
- Chromosomal and Genetic Variations
- Plant Stress Responses and Tolerance
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- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
Papers in
-
- Genomics and Phylogenetic Studies 13
- Genetics, Bioinformatics, and Biomedical Research 1
-
- Genetic and Environmental Crop Studies 4
- Legume Nitrogen Fixing Symbiosis 2
- Co-authors
- Andrew D Farmer (7 shared papers)Sudhansu Dash (3 shared papers)Scott R. Kalberer (3 shared papers)Andrew P. Wilkey (3 shared papers)Jacqueline D. Campbell (3 shared papers)Nathan T. Weeks (3 shared papers)Wei Huang (3 shared papers)Steven B. Cannon (3 shared papers)
- Journals
- F1000Research (2 papers)Nucleic Acids Research (2 papers)IEEE Transactions on Computational Biology and Bioinformatics (1 paper)The Plant Cell (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Alan Cleary
15 papers receiving 331 citations
Peers
Comparison fields: 5 of 33
- Plant Science 182
- Molecular Biology 122
- Genetics 52
- Artificial Intelligence 45
- Computer Science Applications 5
Countries citing papers authored by Alan Cleary
This map shows the geographic impact of Alan Cleary'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 Alan Cleary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Cleary more than expected).
Fields of papers citing papers by Alan Cleary
This network shows the impact of papers produced by Alan Cleary. 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 Alan Cleary. The network helps show where Alan Cleary may publish in the future.
Co-authors
The 25 scholars most cited alongside Alan Cleary, 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 | 2015 | 134 | |
| 2 | 2011 | 39 | |
| 3 | 2020 | 34 | |
| 4 | 2019 | 33 | |
| 5 | 2017 | 25 | |
| 6 | 2021 | 18 | |
| 7 | 2019 | 14 | |
| 8 | 2019 | 10 | |
| 9 | 2018 | 9 | |
| 10 | 2015 | 7 | |
| 11 | 2021 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2017 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2022 | 1 | |
| 16 | 2023 | 0 | |
| 17 | 2023 | 0 | |
| 18 | 2023 | 0 |
About Alan Cleary
Alan Cleary is a scholar working on Molecular Biology, Plant Science, Computer Science Applications, Genetics and Information Systems and Management, having authored 18 papers that have together received 338 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (13 papers), Genetic and Environmental Crop Studies (4 papers), Legume Nitrogen Fixing Symbiosis (2 papers), Genetic Associations and Epidemiology (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Research Data Management Practices (1 paper), Data Visualization and Analytics (1 paper) and Teaching and Learning Programming (1 paper). The work is most often cited by research in Plant Science (182 citations), Molecular Biology (122 citations), Genetics (52 citations), Artificial Intelligence (45 citations) and Computer Science Applications (5 citations). Alan Cleary has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Andrew D Farmer, Sudhansu Dash, Scott R. Kalberer, Andrew P. Wilkey, Jacqueline D. Campbell, Nathan T. Weeks, Wei Huang, Steven B. Cannon, Christian Hammer and Ethalinda K. S. Cannon. Their work appears in journals such as F1000Research, Nucleic Acids Research, IEEE Transactions on Computational Biology and Bioinformatics, The Plant Cell and Bioinformatics.
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.