Grant Daggard
Impact in
- Microbiology top 5%
- Bacterial Infections and Vaccines
- Microbial infections and disease research
- Plant Science top 5%
- Wheat and Barley Genetics and Pathology
- Genetics and Plant Breeding
Papers in
-
- Wheat and Barley Genetics and Pathology 9
- Genetics and Plant Breeding 6
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- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 3
- Co-authors
- Harjeet Khanna (3 shared papers)T.K.S. Mukkur (7 shared papers)M. W. Sutherland (5 shared papers)Scott Fry (4 shared papers)David J. Farrell (3 shared papers)R. Appels (4 shared papers)A. Lehmensiek (5 shared papers)Hua Wang (3 shared papers)
- Journals
- Journal of Clinical Microbiology (2 papers)Journal of Medical Microbiology (2 papers)Conservation Biology (1 paper)Genetics Research (1 paper)Annals of Applied Biology (1 paper)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Grant Daggard
30 papers receiving 704 citations
Peers
Comparison fields: 5 of 84
- Microbiology 153
- Plant Science 377
- Biotechnology 68
- Genetics 186
- Animal Science and Zoology 52
Countries citing papers authored by Grant Daggard
This map shows the geographic impact of Grant Daggard'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 Grant Daggard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grant Daggard more than expected).
Fields of papers citing papers by Grant Daggard
This network shows the impact of papers produced by Grant Daggard. 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 Grant Daggard. The network helps show where Grant Daggard may publish in the future.
Co-authors
The 25 scholars most cited alongside Grant Daggard, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 111 | |
| 2 | 2003 | 85 | |
| 3 | 1993 | 54 | |
| 4 | 2003 | 51 | |
| 5 | 2000 | 45 | |
| 6 | A comparative study of classification methods for microarray data analysis | 2006 | 42 |
| 7 | 2006 | 41 | |
| 8 | 2005 | 38 | |
| 9 | 2004 | 37 | |
| 10 | 1999 | 35 | |
| 11 | 2006 | 35 | |
| 12 | 2001 | 28 | |
| 13 | A maximally diversified multiple decision tree algorithm for microarray data classification | 2006 | 27 |
| 14 | 2008 | 23 | |
| 15 | 2006 | 20 | |
| 16 | 2002 | 17 | |
| 17 | 2006 | 15 | |
| 18 | Construction of three linkage maps in bread wheat | 2001 | 13 |
| 19 | 2007 | 13 | |
| 20 | 2008 | 7 |
About Grant Daggard
Grant Daggard is a scholar working on Plant Science, Molecular Biology, Epidemiology, Genetics and Microbiology, having authored 30 papers that have together received 774 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (9 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Genetics and Plant Breeding (6 papers), Bacterial Infections and Vaccines (4 papers), Infective Endocarditis Diagnosis and Management (3 papers), Pneumonia and Respiratory Infections (3 papers), Bioinformatics and Genomic Networks (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Microbiology (153 citations), Plant Science (377 citations), Biotechnology (68 citations), Genetics (186 citations) and Animal Science and Zoology (52 citations). Grant Daggard has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Harjeet Khanna, T.K.S. Mukkur, M. W. Sutherland, Scott Fry, David J. Farrell, R. Appels, A. Lehmensiek, Hua Wang, Jiuyong Li and Hong Hu. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Medical Microbiology, Conservation Biology, Genetics Research and Annals of Applied Biology.
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.