Emma Mace

6.9k total citations
107 papers, 3.9k citations indexed

About

Emma Mace is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Emma Mace has authored 107 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Plant Science, 67 papers in Genetics and 44 papers in Agronomy and Crop Science. Recurrent topics in Emma Mace's work include Genetic Mapping and Diversity in Plants and Animals (65 papers), Bioenergy crop production and management (36 papers) and Wheat and Barley Genetics and Pathology (31 papers). Emma Mace is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (65 papers), Bioenergy crop production and management (36 papers) and Wheat and Barley Genetics and Pathology (31 papers). Emma Mace collaborates with scholars based in Australia, United States and China. Emma Mace's co-authors include David Jordan, Colleen Hunt, Yongfu Tao, Ian D. Godwin, Jonathan H. Crouch, Graeme Hammer, Erik van Oosterom, Alan Cruickshank, Xianrong Zhao and Hutokshi K. Buhariwalla and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Plant Journal.

In The Last Decade

Emma Mace

104 papers receiving 3.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Emma Mace Australia 36 3.1k 1.7k 1.1k 660 204 107 3.9k
David Hoisington Mexico 45 5.9k 1.9× 2.8k 1.6× 677 0.6× 1.3k 2.0× 353 1.7× 115 6.6k
Jean‐Marcel Ribaut Mexico 36 4.6k 1.5× 2.5k 1.4× 1.0k 0.9× 619 0.9× 156 0.8× 54 5.0k
Reyazul Rouf Mir India 32 2.8k 0.9× 881 0.5× 424 0.4× 438 0.7× 137 0.7× 126 3.2k
H. S. Balyan India 42 4.9k 1.6× 2.1k 1.2× 826 0.8× 758 1.1× 177 0.9× 148 5.4k
Sherry Flint-García United States 28 4.9k 1.6× 3.6k 2.0× 730 0.7× 1.0k 1.6× 132 0.6× 79 5.8k
Manish Roorkiwal India 29 3.4k 1.1× 1.2k 0.7× 253 0.2× 492 0.7× 234 1.1× 69 3.7k
Rex Bernardo United States 41 6.2k 2.0× 4.8k 2.8× 727 0.7× 472 0.7× 108 0.5× 127 6.8k
Vikas Kumar Singh India 34 3.4k 1.1× 1.1k 0.7× 179 0.2× 591 0.9× 140 0.7× 112 3.8k
Lee T. Hickey Australia 33 3.3k 1.0× 1.0k 0.6× 525 0.5× 629 1.0× 81 0.4× 105 3.5k
Luke Ramsay United Kingdom 34 5.1k 1.6× 2.0k 1.2× 442 0.4× 1.3k 2.0× 212 1.0× 71 5.7k

Countries citing papers authored by Emma Mace

Since Specialization
Citations

This map shows the geographic impact of Emma Mace'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 Emma Mace with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma Mace more than expected).

Fields of papers citing papers by Emma Mace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma Mace. 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 Emma Mace. The network helps show where Emma Mace may publish in the future.

Co-authorship network of co-authors of Emma Mace

This figure shows the co-authorship network connecting the top 25 collaborators of Emma Mace. A scholar is included among the top collaborators of Emma Mace 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 Emma Mace. Emma Mace is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cano, Francisco Javier, et al.. (2024). High water use efficiency due to maintenance of photosynthetic capacity in sorghum under water stress. Journal of Experimental Botany. 75(21). 6778–6795. 9 indexed citations
2.
Keno, Tolera, Emma Mace, Ian D. Godwin, David Jordan, & Alison Kelly. (2024). The use of fixed shelling percentage biases genotype selection in hybrid maize multi-environment yield trials. Field Crops Research. 315. 109437–109437.
3.
Zhang, Shuo, Jie Wang, Wenchuang He, et al.. (2023). Variation in mitogenome structural conformation in wild and cultivated lineages of sorghum corresponds with domestication history and plastome evolution. BMC Plant Biology. 23(1). 91–91. 32 indexed citations
4.
Borrell, Andrew, Emma Mace, David Jordan, et al.. (2023). Genetic dissection of root architecture in Ethiopian sorghum landraces. Theoretical and Applied Genetics. 136(10). 209–209. 9 indexed citations
5.
Gaffney, Jim, Dejene Girma, Ndjido Ardo Kane, et al.. (2022). Maximizing value of genetic sequence data requires an enabling environment and urgency. Global Food Security. 33. 100619–100619. 4 indexed citations
6.
Zhi, Xiaoyu, Graeme Hammer, Andrew Borrell, et al.. (2022). Genetic basis of sorghum leaf width and its potential as a surrogate for transpiration efficiency. Theoretical and Applied Genetics. 135(9). 3057–3071. 7 indexed citations
7.
Tao, Yongfu, Hong Luo, Jiabao Xu, et al.. (2021). Extensive variation within the pan-genome of cultivated and wild sorghum. Nature Plants. 7(6). 766–773. 129 indexed citations
8.
Bantte, Kassahun, Andrew Borrell, David Jordan, et al.. (2020). Genetic diversity of Ethiopian sorghum reveals signatures of climatic adaptation. Theoretical and Applied Genetics. 134(2). 731–742. 36 indexed citations
9.
Gaffney, Jim, Redeat Tibebu, Rebecca Bart, et al.. (2020). Open access to genetic sequence data maximizes value to scientists, farmers, and society. Global Food Security. 26. 100411–100411. 21 indexed citations
10.
Wang, Xue Min, Emma Mace, Yongfu Tao, et al.. (2020). Large-scale genome-wide association study reveals that drought-induced lodging in grain sorghum is associated with plant height and traits linked to carbon remobilisation. Theoretical and Applied Genetics. 133(11). 3201–3215. 12 indexed citations
11.
Tao, Yongfu, Xianrong Zhao, Xue Min Wang, et al.. (2019). Large‐scale GWAS in sorghum reveals common genetic control of grain size among cereals. Plant Biotechnology Journal. 18(4). 1093–1105. 88 indexed citations
12.
Smith, Oliver, William V. Nicholson, Logan Kistler, et al.. (2019). A domestication history of dynamic adaptation and genomic deterioration in Sorghum. Nature Plants. 5(4). 369–379. 68 indexed citations
13.
Tao, Yongfu, Xianrong Zhao, Emma Mace, Robert J Henry, & David Jordan. (2018). Exploring and Exploiting Pan-genomics for Crop Improvement. Molecular Plant. 12(2). 156–169. 145 indexed citations
14.
Bantte, Kassahun, et al.. (2017). Characterization of Ethiopian sorghum [Sorghum bicolor (L) Moench] germplasm collection for drought adaptation traits associated with roots. Queensland Department of Agriculture and Fisheries archive of scientific and research publications (Queensland Department of Agriculture and Fisheries). 1 indexed citations
15.
Mace, Emma, Shuaishuai Tai, David J. Innes, et al.. (2014). The plasticity of NBS resistance genes in sorghum is driven by multiple evolutionary processes. BMC Plant Biology. 14(1). 253–253. 1 indexed citations
16.
Mace, Emma, Colleen Hunt, & David Jordan. (2013). Supermodels: sorghum and maize provide mutual insight into the genetics of flowering time. Theoretical and Applied Genetics. 126(5). 1377–1395. 69 indexed citations
17.
Franckowiak, J. D., et al.. (2010). Testing of North American barley cultivars for a sub-tropical environment. SABRAO Journal of Breeding and Genetics.
18.
Mace, Emma, Sharon Williams, Agnieszka M. Mudge, et al.. (2010). Allelic variation of the Beta-, gamma- and delta-kafirin genes in diverse Sorghum genotypes. Theoretical and Applied Genetics. 13. 27–27. 6 indexed citations
19.
20.
Okpul, T., et al.. (2005). Evaluation of variability among breeding lines and cultivars of taro (Colocasia esculenta) in Papua New Guinea using ISSR fingerprinting and agro-morphological characterization. Queensland's institutional digital repository (The University of Queensland). 143(143). 8–16. 17 indexed citations

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.

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