Marie Forest

942 total citations · 1 hit paper
8 papers, 375 citations indexed

About

Marie Forest is a scholar working on Molecular Biology, Genetics and Sociology and Political Science. According to data from OpenAlex, Marie Forest has authored 8 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Genetics and 1 paper in Sociology and Political Science. Recurrent topics in Marie Forest's work include Genetic Associations and Epidemiology (3 papers), Epigenetics and DNA Methylation (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). Marie Forest is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), Epigenetics and DNA Methylation (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). Marie Forest collaborates with scholars based in Canada, Singapore and United Kingdom. Marie Forest's co-authors include Leo Speidel, Sinan Shi, Simon Myers, Celia M.T. Greenwood, Kieran J. O’Donnell, Michael S. Kobor, Patrícia Pelufo Silveira, Lisa M. McEwen, Hélène Gaudreau and Julia L. MacIsaac and has published in prestigious journals such as Nature Genetics, PLoS ONE and PLoS Genetics.

In The Last Decade

Marie Forest

8 papers receiving 373 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A method for genome-wide genealogy estimation for thousands of samples

2019 273 citations Leo Speidel, Marie Forest et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marie Forest Canada	6	249	150	27	19	18	8	375
Michael C. Turchin United States	7	648 2.6×	183 1.2×	57 2.1×	54 2.8×	14 0.8×	9	776
Jan Baedke Germany	11	113 0.5×	94 0.6×	29 1.1×	25 1.3×	41 2.3×	23	371
Thomas H. Ehrich United States	14	358 1.4×	195 1.3×	54 2.0×	34 1.8×	4 0.2×	15	597
Cecilia Inés Catanesi Argentina	7	194 0.8×	64 0.4×	14 0.5×	7 0.4×	7 0.4×	22	257
Aaron J. Stern United States	7	244 1.0×	109 0.7×	20 0.7×	56 2.9×	4 0.2×	8	413
Javier Prado-Martinez United States	9	271 1.1×	304 2.0×	103 3.8×	14 0.7×	5 0.3×	10	469
Chiara Turchi Italy	16	479 1.9×	329 2.2×	13 0.5×	16 0.8×	15 0.8×	51	643
Edvard Ehler Czechia	10	287 1.2×	88 0.6×	10 0.4×	8 0.4×	4 0.2×	26	422
Kimberly F. McManus United States	8	181 0.7×	115 0.8×	39 1.4×	12 0.6×	5 0.3×	13	314
Yan Wong United Kingdom	7	220 0.9×	122 0.8×	28 1.0×	24 1.3×	11 0.6×	8	371

Countries citing papers authored by Marie Forest

Since Specialization

Citations

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

Fields of papers citing papers by Marie Forest

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie Forest

This figure shows the co-authorship network connecting the top 25 collaborators of Marie Forest. A scholar is included among the top collaborators of Marie Forest 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 Marie Forest. Marie Forest 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:

8 of 8 papers shown

1.

McGuffin, Michael J., et al.. (2023). Path Tracing in 2D, 3D, and Physicalized Networks. IEEE Transactions on Visualization and Computer Graphics. 30(7). 3564–3577. 4 indexed citations

2.

Bhatnagar, Sahir, Yi Yang, Tianyuan Lu, et al.. (2020). Simultaneous SNP selection and adjustment for population structure in high dimensional prediction models. PLoS Genetics. 16(5). e1008766–e1008766. 6 indexed citations

3.

Speidel, Leo, Marie Forest, Sinan Shi, & Simon Myers. (2019). A method for genome-wide genealogy estimation for thousands of samples. Nature Genetics. 51(9). 1321–1329. 273 indexed citations breakdown →

4.

Chen, Lawrence R., Elika Garg, Thao T. T. Nguyen, et al.. (2018). PRS-on-Spark (PRSoS): a novel, efficient and flexible approach for generating polygenic risk scores. BMC Bioinformatics. 19(1). 295–295. 22 indexed citations

5.

Das, Samir, Xavier Boucher, Christine Rogers, et al.. (2018). Integration of “omics” Data and Phenotypic Data Within a Unified Extensible Multimodal Framework. Frontiers in Neuroinformatics. 12. 91–91. 4 indexed citations

6.

Forest, Marie, Kieran J. O’Donnell, Hélène Gaudreau, et al.. (2018). Agreement in DNA methylation levels from the Illumina 450K array across batches, tissues, and time. Epigenetics. 13(1). 19–32. 33 indexed citations

7.

Forest, Marie, et al.. (2017). The performance of a new local false discovery rate method on tests of association between coronary artery disease (CAD) and genome-wide genetic variants. PLoS ONE. 12(9). e0185174–e0185174. 5 indexed citations

8.

Forest, Marie, Yasser Iturria‐Medina, Jennifer S. Goldman, et al.. (2017). Gene networks show associations with seed region connectivity. Human Brain Mapping. 38(6). 3126–3140. 28 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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