Emma Hine

1.4k total citations
18 papers, 1.1k citations indexed

About

Emma Hine is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Emma Hine has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 9 papers in Ecology, Evolution, Behavior and Systematics and 2 papers in Molecular Biology. Recurrent topics in Emma Hine's work include Animal Behavior and Reproduction (9 papers), Plant and animal studies (8 papers) and Genetic diversity and population structure (6 papers). Emma Hine is often cited by papers focused on Animal Behavior and Reproduction (9 papers), Plant and animal studies (8 papers) and Genetic diversity and population structure (6 papers). Emma Hine collaborates with scholars based in Australia, United States and United Kingdom. Emma Hine's co-authors include Mark W. Blows, Stephen F. Chenoweth, Katrina McGuigan, G J Buffone, Beverly Barton Rogers, Lesley Alpert, J. David Aguirre, Megan Higgie, Shelly Lachish and Howard D. Rundle and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The American Naturalist and Genetics.

In The Last Decade

Emma Hine

18 papers receiving 1.1k citations

Peers

Emma Hine

EEBS

GENET

NLC

MB

ECOLO

Hon‐Tsen Yu Taiwan

Brice A. J. Sarver United States

Debra L. Murray United States

Joanne R. Chapman United Kingdom

D. A. Briscoe Australia

Francisca Cunha Almeida Argentina

Barry J. Richardson Australia

Anna Bryjová Czechia

Jean‐Marc Pons France

H. Brünner Austria

Hon‐Tsen Yu Taiwan

Emma Hine

235 ×0.3

EEBS

423 ×0.6

GENET

91 ×0.9

NLC

304 ×2.9

MB

320 ×3.6

ECOLO

Citations per year, relative to Emma Hine Emma Hine (= 1×) peers Hon‐Tsen Yu

Countries citing papers authored by Emma Hine

Since Specialization

Citations

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

Fields of papers citing papers by Emma Hine

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emma Hine

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

1.

Hine, Emma, Daniel E. Runcie, Scott L. Allen, et al.. (2022). Maintenance of quantitative genetic variance in complex, multitrait phenotypes: the contribution of rare, large effect variants in 2 Drosophila species. Genetics. 222(2). 1 indexed citations

2.

Aguirre, J. David, et al.. (2021). The contribution of mutation and selection to multivariate quantitative genetic variance in an outbred population of Drosophila serrata. Proceedings of the National Academy of Sciences. 118(31). 14 indexed citations

3.

Hine, Emma, Daniel E. Runcie, Katrina McGuigan, & Mark W. Blows. (2018). Uneven Distribution of Mutational Variance Across the Transcriptome of Drosophila serrata Revealed by High-Dimensional Analysis of Gene Expression. Genetics. 209(4). 1319–1328. 13 indexed citations

4.

Hine, Emma, Katrina McGuigan, & Mark W. Blows. (2014). Evolutionary Constraints in High-Dimensional Trait Sets. The American Naturalist. 184(1). 119–131. 45 indexed citations

5.

Hugo, Leon E., J. Jeffery, Brendan Trewin, et al.. (2014). Adult Survivorship of the Dengue Mosquito Aedes aegypti Varies Seasonally in Central Vietnam. PLoS neglected tropical diseases. 8(2). e2669–e2669. 43 indexed citations

6.

Aguirre, J. David, Emma Hine, Katrina McGuigan, & Mark W. Blows. (2013). Comparing G: multivariate analysis of genetic variation in multiple populations. Heredity. 112(1). 21–29. 80 indexed citations

7.

Hine, Emma, Katrina McGuigan, & Mark W. Blows. (2011). Natural selection stops the evolution of male attractiveness. Proceedings of the National Academy of Sciences. 108(9). 3659–3664. 65 indexed citations

8.

McGraw, Elizabeth A., Yixin H. Ye, Stephen F. Chenoweth, et al.. (2011). HIGH-DIMENSIONAL VARIANCE PARTITIONING REVEALS THE MODULAR GENETIC BASIS OF ADAPTIVE DIVERGENCE IN GENE EXPRESSION DURING REPRODUCTIVE CHARACTER DISPLACEMENT. Evolution. 65(11). 3126–3137. 8 indexed citations

9.

Hine, Emma, Stephen F. Chenoweth, Howard D. Rundle, & Mark W. Blows. (2009). Characterizing the evolution of genetic variance using genetic covariance tensors. Philosophical Transactions of the Royal Society B Biological Sciences. 364(1523). 1567–1578. 68 indexed citations

10.

Hine, Emma. (2009). Mutation-Selection Balance and the evolution of genetic variance in multiple male sexually-selected pheromones of the vinegar fly Drosophila serrata. Queensland's institutional digital repository (The University of Queensland). 1 indexed citations

11.

Luciano, Michelle, Emma Hine, Margaret J. Wright, et al.. (2006). Effects of SCA1, MJD, and DPRLA triplet repeat polymorphisms on cognitive phenotypes in a normal population of adolescent twins. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 144B(1). 95–100. 2 indexed citations

12.

Hine, Emma & Mark W. Blows. (2006). Determining the Effective Dimensionality of the Genetic Variance–Covariance Matrix. Genetics. 173(2). 1135–1144. 111 indexed citations

13.

Hine, Emma, Stephen F. Chenoweth, & Mark W. Blows. (2004). MULTIVARIATE QUANTITATIVE GENETICS AND THE LEK PARADOX: GENETIC VARIANCE IN MALE SEXUALLY SELECTED TRAITS OF DROSOPHILA SERRATA UNDER FIELD CONDITIONS. Evolution. 58(12). 2754–2762. 88 indexed citations

14.

Blows, Mark W., Stephen F. Chenoweth, & Emma Hine. (2004). Orientation of the Genetic Variance‐Covariance Matrix and the Fitness Surface for Multiple Male Sexually Selected Traits. The American Naturalist. 163(3). 329–340. 212 indexed citations

15.

Hine, Emma, Stephen F. Chenoweth, & Mark W. Blows. (2004). MULTIVARIATE QUANTITATIVE GENETICS AND THE LEK PARADOX: GENETIC VARIANCE IN MALE SEXUALLY SELECTED TRAITS OF DROSOPHILA SERRATA UNDER FIELD CONDITIONS. Evolution. 58(12). 2754–2754. 88 indexed citations

16.

Hine, Emma, Shelly Lachish, Megan Higgie, & Mark W. Blows. (2002). Positive genetic correlation between female preference and offspring fitness. Proceedings of the Royal Society B Biological Sciences. 269(1506). 2215–2219. 82 indexed citations

17.

Buffone, G J, Emma Hine, & Gail J. Demmler. (1990). Detection of mRNA from the immediate early gene of human cytomegalovirus in infected cells by in vitro amplification. Molecular and Cellular Probes. 4(2). 143–151. 23 indexed citations

18.

Rogers, Beverly Barton, Lesley Alpert, Emma Hine, & G J Buffone. (1990). Analysis of DNA in fresh and fixed tissue by the polymerase chain reaction.. PubMed. 136(3). 541–8. 153 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.

Explore authors with similar magnitude of impact