Emily Cameron-Blake

5.1k total citations · 1 hit paper
8 papers, 3.0k citations indexed

About

Emily Cameron-Blake is a scholar working on Genetics, Molecular Biology and Health. According to data from OpenAlex, Emily Cameron-Blake has authored 8 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 2 papers in Molecular Biology and 2 papers in Health. Recurrent topics in Emily Cameron-Blake's work include COVID-19 epidemiological studies (2 papers), Genetic Associations and Epidemiology (2 papers) and COVID-19 Pandemic Impacts (2 papers). Emily Cameron-Blake is often cited by papers focused on COVID-19 epidemiological studies (2 papers), Genetic Associations and Epidemiology (2 papers) and COVID-19 Pandemic Impacts (2 papers). Emily Cameron-Blake collaborates with scholars based in Canada, United Kingdom and United States. Emily Cameron-Blake's co-authors include Toby Phillips, Anna Petherick, Thomas Hale, Noam Angrist, Rafael Goldszmidt, Beatriz Kira, Esteban J. Parra, Mark D. Shriver, Miguel Cruz and Paul McKeigue and has published in prestigious journals such as Scientific Reports, Molecular Biology and Evolution and Human Genetics.

In The Last Decade

Emily Cameron-Blake

8 papers receiving 3.0k citations

Hit Papers

A global panel database of pandemic policies (Oxford COVI... 2021 2026 2022 2024 2021 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emily Cameron-Blake Canada 6 984 932 566 470 416 8 3.0k
Toby Phillips United Kingdom 7 1.1k 1.1× 987 1.1× 607 1.1× 494 1.1× 444 1.1× 10 3.0k
Beatriz Kira United Kingdom 5 1.0k 1.0× 975 1.0× 581 1.0× 546 1.2× 415 1.0× 25 3.0k
Noam Angrist United States 15 1.1k 1.1× 1.1k 1.2× 665 1.2× 646 1.4× 416 1.0× 35 3.5k
Rafael Goldszmidt Brazil 12 1.1k 1.2× 1.1k 1.1× 782 1.4× 619 1.3× 505 1.2× 35 3.5k
Anna Petherick United Kingdom 17 1.3k 1.3× 1.1k 1.2× 827 1.5× 602 1.3× 559 1.3× 68 4.0k
Jessica T. Davis United States 10 1.8k 1.8× 968 1.0× 388 0.7× 532 1.1× 194 0.5× 19 3.4k
Alexandra L. J. Freeman United Kingdom 19 473 0.5× 531 0.6× 695 1.2× 1.8k 3.8× 902 2.2× 44 3.6k
Ruoran Li China 11 1.5k 1.5× 732 0.8× 285 0.5× 227 0.5× 171 0.4× 28 2.5k
Kunpeng Mu China 4 1.6k 1.7× 886 1.0× 284 0.5× 317 0.7× 135 0.3× 9 2.5k
Claudia R. Schneider United Kingdom 14 408 0.4× 460 0.5× 648 1.1× 1.6k 3.4× 734 1.8× 27 2.9k

Countries citing papers authored by Emily Cameron-Blake

Since Specialization
Citations

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

Fields of papers citing papers by Emily Cameron-Blake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily Cameron-Blake. 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 Emily Cameron-Blake. The network helps show where Emily Cameron-Blake may publish in the future.

Co-authorship network of co-authors of Emily Cameron-Blake

This figure shows the co-authorship network connecting the top 25 collaborators of Emily Cameron-Blake. A scholar is included among the top collaborators of Emily Cameron-Blake 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 Emily Cameron-Blake. Emily Cameron-Blake 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.
Cameron-Blake, Emily, et al.. (2023). Variation in the stringency of COVID-19 public health measures on self-reported health, stress, and overall wellbeing in Canada. Scientific Reports. 13(1). 13094–13094. 3 indexed citations
2.
Cameron-Blake, Emily, et al.. (2023). A panel dataset of COVID-19 vaccination policies in 185 countries. Nature Human Behaviour. 7(8). 1402–1413. 29 indexed citations
3.
Michaud, David S., et al.. (2022). Implications of the COVID-19 pandemic on self-reported health status and noise annoyance in rural and non-rural Canada. Scientific Reports. 12(1). 15945–15945. 1 indexed citations
4.
Hale, Thomas, Noam Angrist, Rafael Goldszmidt, et al.. (2021). A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nature Human Behaviour. 5(4). 529–538. 2737 indexed citations breakdown →
5.
Beleza, Sandra, António M. Santos, Brian McEvoy, et al.. (2012). The Timing of Pigmentation Lightening in Europeans. Molecular Biology and Evolution. 30(1). 24–35. 97 indexed citations
6.
Cameron-Blake, Emily, Verónica L. Martínez‐Marignac, Audrey Chan, et al.. (2007). MGEA5‐14 polymorphism and type 2 diabetes in Mexico City. American Journal of Human Biology. 19(4). 593–596. 8 indexed citations
7.
Parra, Esteban J., Emily Cameron-Blake, Adán Valladares, et al.. (2007). Association of TCF7L2 polymorphisms with type 2 diabetes in Mexico City. Clinical Genetics. 71(4). 359–366. 43 indexed citations
8.
Martínez‐Marignac, Verónica L., Adán Valladares, Emily Cameron-Blake, et al.. (2006). Admixture in Mexico City: implications for admixture mapping of Type 2 diabetes genetic risk factors. Human Genetics. 120(6). 807–819. 119 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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