Daniel Money
Impact in
- Plant Science top 5%
- Genetics and Plant Breeding
- Wheat and Barley Genetics and Pathology
- Horticultural and Viticultural Research
- Plant Physiology and Cultivation Studies
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Genetic diversity and population structure
Papers in
- Genetics 5
- Genetic and phenotypic traits in livestock 2
- Genetic diversity and population structure 2
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- Horticultural and Viticultural Research 2
- Postharvest Quality and Shelf Life Management 1
- Plant Physiology and Cultivation Studies 1
- Co-authors
- Sean Myles (5 shared papers)Kyle M. Gardner (4 shared papers)Zoë Migicovsky (4 shared papers)Heidi Schwaninger (2 shared papers)Gan‐Yuan Zhong (2 shared papers)Jason Sawler (3 shared papers)Simon Whelan (3 shared papers)Ryan M. Ames (2 shared papers)
- Journals
- Bioinformatics (2 papers)BMC Genomics (2 papers)Genetics Selection Evolution (2 papers)PLoS ONE (1 paper)G3 Genes Genomes Genetics (1 paper)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Daniel Money
13 papers receiving 633 citations
Daniel Money's Hit Papers
Peers
Comparison fields: 5 of 60
- Plant Science 445
- Genetics 294
- Tourism, Leisure and Hospitality Management 15
- Horticulture 9
- Agronomy and Crop Science 40
Countries citing papers authored by Daniel Money
This map shows the geographic impact of Daniel Money'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 Daniel Money with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Money more than expected).
Fields of papers citing papers by Daniel Money
This network shows the impact of papers produced by Daniel Money. 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 Daniel Money. The network helps show where Daniel Money may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Money, 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 | LinkImpute: Fast and Accurate Genotype Imputation for Nonmodel Organisms Hit paper breakdown → | 2015 | 359 |
| 2 | 2016 | 82 | |
| 3 | 2014 | 45 | |
| 4 | 2011 | 36 | |
| 5 | 2016 | 33 | |
| 6 | 2017 | 32 | |
| 7 | 2011 | 20 | |
| 8 | 2017 | 19 | |
| 9 | 2014 | 7 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 3 | |
| 12 | 2015 | 1 | |
| 13 | 2020 | 1 |
About Daniel Money
Daniel Money is a scholar working on Genetics, Plant Science, Molecular Biology, Ecology and Nature and Landscape Conservation, having authored 13 papers that have together received 641 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Horticultural and Viticultural Research (2 papers), Genetic and phenotypic traits in livestock (2 papers), Genetic diversity and population structure (2 papers), Postharvest Quality and Shelf Life Management (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Plant Physiology and Cultivation Studies (1 paper) and Species Distribution and Climate Change (1 paper). The work is most often cited by research in Plant Science (445 citations), Genetics (294 citations), Tourism, Leisure and Hospitality Management (15 citations), Horticulture (9 citations) and Agronomy and Crop Science (40 citations). Daniel Money has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Sean Myles, Kyle M. Gardner, Zoë Migicovsky, Heidi Schwaninger, Gan‐Yuan Zhong, Jason Sawler, Simon Whelan, Ryan M. Ames, Simon C. Lovell and Chih-Cheng T. Chao. Their work appears in journals such as Bioinformatics, BMC Genomics, Genetics Selection Evolution, PLoS ONE and G3 Genes Genomes Genetics.
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.