Michelle Turcotte

3.3k citations
17 papers · 1.8k indexed · 2 hit papers · h-index 11
Topics
Genetic Associations and Epidemiology (6 papers)Epigenetics and DNA Methylation (2 papers)Clinical Reasoning and Diagnostic Skills (2 papers)

In The Last Decade

Michelle Turcotte

17 papers receiving 1.8k citations

Hit Papers

Benefits and limitations of genome-wide association stu...2015202620182022201920152505007501000

Peers

Michelle Turcotte
Comparison fields: 5 of 161
  • Molecular Biology 637
  • Genetics 624
  • Physiology 155
  • Public Health, Environmental and Occupational Health 146
  • Epidemiology 143
Replace Todd L. Edwards with:
Todd L. Edwards United States
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Ambroise Wonkam South Africa
Hemant K. Tiwari United States
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Samantha Welsh United Kingdom
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Michelle Turcotte relative to Todd L. Edwards United States Todd L. Edwards's profile →
Citations per field
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Todd L. Edwards · 1×
Citations per year

Countries citing papers authored by Michelle Turcotte

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Turcotte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Turcotte

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 5
2 16
3 28
4 5
5 8
6
Benefits and limitations of genome-wide association studiesbreakdown →
1162
7 22
8 2
9 23
10 9
11 2
12 19
13 17
14 159
15 23
16
From big data analysis to personalized medicine for all: challenges and opportunitiesbreakdown →
318
17
Preliminary Findings: Faculty, Teaching Assistant, and Student Perceptions Regarding Accommodating Students with Disabilities in Postsecondary Environments.
17

About Michelle Turcotte

Michelle Turcotte is a scholar working on Family Practice, Issues, ethics and legal aspects and Internal Medicine, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Epigenetics and DNA Methylation (2 papers) and Clinical Reasoning and Diagnostic Skills (2 papers). The work is most often cited by research in Genetics (624 citations), Health Informatics (24 citations) and Internal Medicine (58 citations). Michelle Turcotte has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include David Meyre, Vivian Tam, Guillaume Paré, Yohan Bossé, Nikunj Patel, Akram Alyass, Jonathan Dushoff, David Champredon, John R. Speakman and Anila Qasim. Their work appears in journals such as Nature Reviews Genetics, International Journal of Obesity and Obesity Reviews.

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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