Alex Whan
About
In The Last Decade
Alex Whan
20 papers receiving 500 citations
Peers
Comparison fields: 5 of 65
- Plant Science 467
- Nutrition and Dietetics 105
- Agronomy and Crop Science 94
- Genetics 75
- Molecular Biology 41
Countries citing papers authored by Alex Whan
This map shows the geographic impact of Alex Whan'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 Alex Whan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Whan more than expected).
Fields of papers citing papers by Alex Whan
This network shows the impact of papers produced by Alex Whan. 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 Alex Whan. The network helps show where Alex Whan may publish in the future.
Co-authorship network of co-authors of Alex Whan
This figure shows the co-authorship network connecting the top 25 collaborators of Alex Whan. A scholar is included among the top collaborators of Alex Whan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alex Whan. Alex Whan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | Prediction of Australian wheat genotype by environment interactions and mega-environments | Theoretical and Applied Genetics | Nick Fradgley, Guillermo Gerard et al. | 0 |
| 2 | A conceptual framework for human–AI collaborative genome annotation | Briefings in Bioinformatics | Xiaomei Li, Alex Whan et al. | 2 |
| 3 | Recombination and structural variation in a large 8-founder wheat MAGIC population | G3 Genes Genomes Genetics | Rohan Shah, Bevan E. Huang et al. | 0 |
| 4 | How well does APSIM NextGen simulate wheat yields across Australia using gridded input data? Validating Continental-Scale Crop Model Simulations | European Journal of Agronomy | Jonathan Richetti, Roger Lawes et al. | 4 |
| 5 | Physical Mapping of QTLs for Root Traits in a Population of Recombinant Inbred Lines of Hexaploid Wheat | International Journal of Molecular Sciences | Xiaoqing Li, Anton Wasson et al. | 1 |
| 6 | Adult plant stem rust resistance in durum wheat Glossy Huguenot: mapping, marker development and validation | Theoretical and Applied Genetics | Rohit Mago, Chunhong Chen et al. | 15 |
| 7 | A durum wheat adult plant stripe rust resistance QTL and its relationship with the bread wheat Yr80 locus | Theoretical and Applied Genetics | Hongyu Li, Harbans Bariana et al. | 17 |
| 8 | Does Late Maturity Alpha-Amylase Impact Wheat Baking Quality? | Frontiers in Plant Science | Marcus Newberry, Alexander B. Zwart et al. | 50 |
| 9 | Increased accuracy of starch granule type quantification using mixture distributions | Plant Methods | Emi Tanaka, Xi Li et al. | 6 |
| 10 | Wheat Data Interoperability Guidelines, Ontologies and User Cases | Zenodo (CERN European Organization for Nuclear Research) | Michaël Alaux, Sophie Aubin et al. | 1 |
| 11 | Engineering high α‐amylase levels in wheat grain lowers | Plant Biotechnology Journal | Jean‐Philippe Ral, Alex Whan et al. | 43 |
| 12 | Transcriptomic analysis of wheat near-isogenic lines identifies PM19-A1 and A2 as candidates for a major dormancy QTL | Genome Biology | José M. Barrero, Colin Cavanagh et al. | 115 |
| 13 | Poor Fertility, Short Longevity, and Low Abundance in the Soil Seed Bank Limit Volunteer Sugarcane from Seed | Frontiers in Bioengineering and Biotechnology | Jai M. Perroux, Alex Whan et al. | 3 |
| 14 | Suppression of glucan, water dikinase in the endosperm alters wheat grain properties, germination and coleoptile growth | Plant Biotechnology Journal | Andrew F. Bowerman, Marcus Newberry et al. | 17 |
| 15 | Engineering α-amylase levels in wheat grain suggests a highly sophisticated level of carbohydrate regulation during development | Journal of Experimental Botany | Alex Whan, Jos C. Mieog et al. | 42 |
| 16 | GrainScan: a low cost, fast method for grain size and colour measurements | Plant Methods | Alex Whan, Alison Smith et al. | 125 |
| 17 | A quantitative genetics approach to nitrogen use efficiency in sugarcane | Functional Plant Biology | Alex Whan, Nicole Robinson et al. | 10 |
| 18 | Evidence of differences in nitrogen use efficiency in sugarcane genotypes. | Queensland's institutional digital repository (The University of Queensland) | Nicole Robinson, Harshi K. Gamage et al. | 5 |
| 19 | Sustainable sugarcane production systems: reducing plant nitrogen demand. | Queensland's institutional digital repository (The University of Queensland) | Nicole Robinson, Alex Whan et al. | 9 |
| 20 | Sugarcane genotypes differ in internal nitrogen use efficiency | Functional Plant Biology | Nicole Robinson, Andrew Fletcher et al. | 47 |
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.