Michelle Gates

52 papers receiving 1.5k citations

Hit Papers

Reporting guideline for overviews of reviews of healthcar...20222026202320242022100200300400

Peers

Michelle Gates
Comparison fields: 5 of 156
  • General Health Professions 404
  • Public Health, Environmental and Occupational Health 329
  • Epidemiology 183
  • Statistics, Probability and Uncertainty 167
  • Pediatrics, Perinatology and Child Health 149
Replace Chris Kamel with:
Chris Kamel Canada
Allison Gates Canada
Kim Sears Canada
Robin Featherstone Canada
Andreea Dobrescu Austria
Katie Gillies United Kingdom
Patraporn Bhatarasakoon Thailand
Nicola Harman United Kingdom
Gordon Dooley United Kingdom
Miloslav Klugar Czechia
Michelle Gates relative to Chris Kamel Canada Chris Kamel's profile →
Citations per field
00.5×1.5×1.9×
Chris Kamel · 1×
Citations per year

Countries citing papers authored by Michelle Gates

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Gates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Gates

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 17
3 3
4 18
5 13
6 50
7 1
8 41
9 30
10 42
11 69
12 4
13 44
14 2
15 6
16 44
17 1
18
Parasitology, virology and serology of free ranging coyotes from central Georgia
1
19 34
20 11

About Michelle Gates

Michelle Gates is a scholar working on Statistics, Probability and Uncertainty, Health Informatics and Health, having authored 54 papers that have together received 1.6k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (11 papers), Obesity, Physical Activity, Diet (10 papers) and Indigenous Studies and Ecology (8 papers). The work is most often cited by research in Health Informatics (34 citations), Statistics, Probability and Uncertainty (167 citations) and General Health Professions (404 citations). Michelle Gates has collaborated with scholars based in Canada, United States and Portugal. Frequent co-authors include Allison Gates, Lisa Hartling, Michelle Pollock, Ricardo M. Fernandes, Dawid Pieper, Ben Vandermeer, Rhona M. Hanning, Samantha Guitard, Andrea C. Tricco and Aireen Wingert. Their work appears in journals such as JAMA, PEDIATRICS and Cochrane Database of Systematic 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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