Linda Cardle
- Plant Science top 0.5%
- Wheat and Barley Genetics and Pathology 11
- Plant Disease Resistance and Genetics 8
- Chromosomal and Genetic Variations 5
- Plant Pathogens and Resistance 5
- Berry genetics and cultivation research 4
- Genetics top 1%
- Genetic Mapping and Diversity in Plants and Animals 8
- Horticulture top 5%
- Endocrinology top 5%
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 10
- Yeasts and Rust Fungi Studies 4
- Co-authors
- David MarshallMicha BayerIain MilneGordon StephenPaul D. ShawRobbie WaughLuke RamsayMalcolm Macaulay
- Cited by
- Plant ScienceGeneticsHorticulture
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United KingdomCzechiaUnited States
In The Last Decade
Linda Cardle
39 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Plant Science 3.1k
- Genetics 1.2k
- Horticulture 31
- Endocrinology 161
- Molecular Biology 1.9k
Countries citing papers authored by Linda Cardle
This map shows the geographic impact of Linda Cardle'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 Linda Cardle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Cardle more than expected).
Fields of papers citing papers by Linda Cardle
This network shows the impact of papers produced by Linda Cardle. 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 Linda Cardle. The network helps show where Linda Cardle may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Linda Cardle, 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 | 35 | |
| 2 | 2014 | 14 | |
| 3 | Using Tablet for visual exploration of second-generation sequencing databreakdown → | 2012 | 702 |
| 4 | 2011 | 377 | |
| 5 | 2010 | 59 | |
| 6 | 2010 | 5 | |
| 7 | 2010 | 57 | |
| 8 | Tablet—next generation sequence assembly visualizationbreakdown → | 2009 | 527 |
| 9 | 2008 | 27 | |
| 10 | 2008 | 22 | |
| 11 | 2007 | 159 | |
| 12 | 2005 | 110 | |
| 13 | 2005 | 30 | |
| 14 | 2005 | 205 | |
| 15 | 2004 | 47 | |
| 16 | 2004 | 72 | |
| 17 | 2003 | 4 | |
| 18 | 1999 | 149 | |
| 19 | 1997 | 23 | |
| 20 | 1994 | 6 |
About Linda Cardle
Linda Cardle is a scholar working on Horticulture, Plant Science and Genetics, having authored 39 papers that have together received 4.6k indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (11 papers), Genomics and Phylogenetic Studies (10 papers), Plant Disease Resistance and Genetics (8 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), Chromosomal and Genetic Variations (5 papers), Plant Pathogens and Resistance (5 papers), Yeasts and Rust Fungi Studies (4 papers) and Berry genetics and cultivation research (4 papers). The work is most often cited by research in Plant Science (3.1k citations), Genetics (1.2k citations) and Horticulture (31 citations). Linda Cardle has collaborated with scholars based in United Kingdom, Czechia and United States. Frequent co-authors include David Marshall, Micha Bayer, Iain Milne, Gordon Stephen, Paul D. Shaw, Robbie Waugh, Luke Ramsay, Malcolm Macaulay, Leighton Pritchard and Peter Cock. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.