Miceline Mésidor

24 papers receiving 225 citations

Peers

Miceline Mésidor
Comparison fields: 5 of 72
  • Family Practice 10
  • Geriatrics and Gerontology 8
  • Statistics and Probability 11
  • Developmental Neuroscience 5
  • Applied Microbiology and Biotechnology 2
Replace Cristina Valcárcel‐Nazco with:
Cristina Valcárcel‐Nazco Spain
Masoud Malekzadeh Iran
M. Ingham United States
Brian G. Ortmeier United States
Eamon Duffy United States
Ashton Frulla United States
Sushil Jindal India
Cathy Jackson United Kingdom
Lola Neufcourt France
James R. Strader United States
Miceline Mésidor relative to Cristina Valcárcel‐Nazco Spain Cristina Valcárcel‐Nazco's profile →
Citations per field
00.5×5.5×
Cristina Valcárcel‐Nazco · 1×
Citations per year

Countries citing papers authored by Miceline Mésidor

Since Specialization
Citations

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

Fields of papers citing papers by Miceline Mésidor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Miceline Mésidor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Miceline Mésidor Line = papers co-authored together Miceline Mésidor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202254
2 202249
3 202124
4 202021
5 202211
6 20249
7 20239
8 20237
9 20186
10 20235
11 20234
12 20214
13 20224
14 20204
15 20243
16 20243
17 20242
18 20212
19 20211
20 20231

About Miceline Mésidor

Miceline Mésidor is a scholar working on Statistics and Probability, Physiology, Genetics, General Health Professions and Geriatrics and Gerontology, having authored 25 papers that have together received 227 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (5 papers), Pharmaceutical Practices and Patient Outcomes (2 papers), Statistical Methods in Clinical Trials (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Workplace Health and Well-being (2 papers), Genetic Associations and Epidemiology (2 papers), Chronic Disease Management Strategies (2 papers) and Cardiovascular and exercise physiology (1 paper). The work is most often cited by research in Family Practice (10 citations), Geriatrics and Gerontology (8 citations), Statistics and Probability (11 citations), Developmental Neuroscience (5 citations) and Applied Microbiology and Biotechnology (2 citations). Miceline Mésidor has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Marie‐Pierre Sylvestre, Marie‐Claude Rousseau, Jennifer O’Loughlin, Denis Talbot, Caroline Sirois, Yohann Chiu, Marc Simard, Soheila Karimi‐Abdolrezaee, John W Farrell and Jessica R. Allanach. Their work appears in journals such as American Journal of Epidemiology, Pharmacoepidemiology and Drug Safety, BMC Medical Research Methodology, Nicotine & Tobacco Research and The Lancet Child & Adolescent Health.

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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