Daniel Mullan
Impact in
- Plant Science top 5%
- Wheat and Barley Genetics and Pathology
- Genetics and Plant Breeding
- Plant Stress Responses and Tolerance
- Plant Disease Resistance and Genetics
- Chromosomal and Genetic Variations
- Plant nutrient uptake and metabolism
- Agronomy and Crop Science top 5%
- Crop Yield and Soil Fertility
Papers in
-
- Wheat and Barley Genetics and Pathology 16
- Genetics and Plant Breeding 14
- Seed Germination and Physiology 2
- Plant Stress Responses and Tolerance 2
- Genetics 12
- Genetic Mapping and Diversity in Plants and Animals 10
- Genetic and phenotypic traits in livestock 4
- Co-authors
- Matthew Reynolds (2 shared papers)Michael G. Francki (4 shared papers)Haydn Kuchel (2 shared papers)Timothy D. Colmer (3 shared papers)Peter Langridge (2 shared papers)Ali Izanloo (1 shared paper)Thorsten Schnurbusch (1 shared paper)Dion Bennett (1 shared paper)
In The Last Decade
Daniel Mullan
23 papers receiving 691 citations
Peers
Comparison fields: 5 of 40
- Plant Science 665
- Agronomy and Crop Science 139
- Genetics 242
- Ecology 43
- Soil Science 12
Countries citing papers authored by Daniel Mullan
This map shows the geographic impact of Daniel Mullan'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 Mullan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Mullan more than expected).
Fields of papers citing papers by Daniel Mullan
This network shows the impact of papers produced by Daniel Mullan. 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 Mullan. The network helps show where Daniel Mullan may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Mullan, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 206 | |
| 2 | 2017 | 94 | |
| 3 | 2010 | 86 | |
| 4 | 2005 | 60 | |
| 5 | 2020 | 54 | |
| 6 | 2006 | 45 | |
| 7 | 2009 | 36 | |
| 8 | 2020 | 21 | |
| 9 | 2021 | 19 | |
| 10 | 2022 | 16 | |
| 11 | 2022 | 15 | |
| 12 | 2021 | 11 | |
| 13 | 2004 | 11 | |
| 14 | 2010 | 9 | |
| 15 | 2023 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2020 | 3 |
About Daniel Mullan
Daniel Mullan is a scholar working on Plant Science, Genetics, Molecular Biology, Agronomy and Crop Science and Nutrition and Dietetics, having authored 23 papers that have together received 720 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (16 papers), Genetics and Plant Breeding (14 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Genetic and phenotypic traits in livestock (4 papers), Seed Germination and Physiology (2 papers), Food composition and properties (2 papers), Plant Stress Responses and Tolerance (2 papers) and Agricultural Productivity and Crop Improvement (2 papers). The work is most often cited by research in Plant Science (665 citations), Agronomy and Crop Science (139 citations), Genetics (242 citations), Ecology (43 citations) and Soil Science (12 citations). Daniel Mullan has collaborated with scholars based in Australia, China and Mexico. Frequent co-authors include Matthew Reynolds, Michael G. Francki, Haydn Kuchel, Timothy D. Colmer, Peter Langridge, Ali Izanloo, Thorsten Schnurbusch, Dion Bennett, Hui Liu and Guijun Yan. Their work appears in journals such as Theoretical and Applied Genetics, Frontiers in Plant Science, Genome, Crop Science and The Crop Journal.
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.