Emma Simpson

3.8k total citations · 2 hit papers
8 papers, 2.8k citations indexed

About

Emma Simpson is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Emma Simpson has authored 8 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Epidemiology. Recurrent topics in Emma Simpson's work include Congenital heart defects research (3 papers), Reproductive Physiology in Livestock (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Emma Simpson is often cited by papers focused on Congenital heart defects research (3 papers), Reproductive Physiology in Livestock (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Emma Simpson collaborates with scholars based in United States, Australia and Canada. Emma Simpson's co-authors include Enzo R. Porrello, Eric N. Olson, Ahmed I. Mahmoud, Hesham A. Sadek, Joseph A. Hill, James A. Richardson, Brett A. Johnson, Beverly A. Rothermel, D. Bennett Grinsfelder and Pradeep P.A. Mammen and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Circulation Research.

In The Last Decade

Emma Simpson

8 papers receiving 2.8k citations

Hit Papers

Transient Regenerative Po... 2011 2026 2016 2021 2011 2012 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Emma Simpson 2.4k 1.0k 755 506 389 8 2.8k
Ching‐Ling Lien 1.7k 0.7× 575 0.6× 451 0.6× 147 0.3× 381 1.0× 49 2.2k
Ravi Karra 1.4k 0.6× 460 0.4× 341 0.5× 138 0.3× 296 0.8× 42 1.8k
John P. Leach 1.7k 0.7× 695 0.7× 502 0.7× 144 0.3× 186 0.5× 22 2.5k
Takatoshi Tsuchihashi 1.5k 0.6× 416 0.4× 345 0.5× 858 1.7× 153 0.4× 15 1.9k
Robert W. Dettman 1.3k 0.5× 459 0.4× 445 0.6× 233 0.5× 211 0.5× 34 2.0k
Todd R. Heallen 2.3k 1.0× 638 0.6× 629 0.8× 207 0.4× 219 0.6× 17 3.1k
M.M.T. Mentink 1.6k 0.7× 553 0.5× 576 0.8× 118 0.2× 453 1.2× 27 2.0k
Steven W. Kubalak 1.9k 0.8× 411 0.4× 645 0.9× 119 0.2× 291 0.7× 29 2.2k
Juan Manuel González‐Rosa 1.5k 0.6× 339 0.3× 394 0.5× 186 0.4× 426 1.1× 32 1.7k
Yunqing Shi 1.5k 0.6× 597 0.6× 476 0.6× 68 0.1× 389 1.0× 23 1.8k

Countries citing papers authored by Emma Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Emma Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emma Simpson

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

All Works

8 of 8 papers shown
1.
Marshall, Sarah A., et al.. (2018). Abnormal extracellular matrix remodelling in the cervix of pregnant relaxin-deficient mice is not associated with reduced matrix metalloproteinase expression or activity. Reproduction Fertility and Development. 30(9). 1214–1224. 2 indexed citations
2.
Simpson, Emma, et al.. (2016). Perceived Stress, Caffeine Consumption, and GPA of Undergraduate Students at a Large Public University. Journal of Nutrition Education and Behavior. 48(7). S102–S102. 2 indexed citations
3.
Porrello, Enzo R., Ahmed I. Mahmoud, Emma Simpson, et al.. (2012). Regulation of neonatal and adult mammalian heart regeneration by the miR-15 family. Proceedings of the National Academy of Sciences. 110(1). 187–192. 564 indexed citations breakdown →
4.
Porrello, Enzo R., Ahmed I. Mahmoud, Emma Simpson, et al.. (2011). Transient Regenerative Potential of the Neonatal Mouse Heart. Science. 331(6020). 1078–1080. 1836 indexed citations breakdown →
5.
Porrello, Enzo R., Brett A. Johnson, Arin B. Aurora, et al.. (2011). miR-15 Family Regulates Postnatal Mitotic Arrest of Cardiomyocytes. Circulation Research. 109(6). 670–679. 342 indexed citations
6.
Vodstrcil, Lenka A., Oksana Shynlova, Kerryn T. Westcott, et al.. (2010). Progesterone Withdrawal, and Not Increased Circulating Relaxin, Mediates the Decrease in Myometrial Relaxin Receptor (RXFP1) Expression in Late Gestation in Rats1. Biology of Reproduction. 83(5). 825–832. 15 indexed citations
7.
Dutt, Ravi, et al.. (1962). Breeding Performance in Ewes after Synchronizing Estrus by Feeding 6-Methyl-17-Acetoxyprogesterone. Journal of Animal Science. 21(4). 804–808. 9 indexed citations
8.
Dutt, Ravi & Emma Simpson. (1957). Environmental Temperature and Fertility of Southdown Rams Early in the Breeding Season. Journal of Animal Science. 16(1). 136–143. 21 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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