Michèle Bernier

52 papers receiving 1.8k citations

Peers

Michèle Bernier
Comparison fields: 5 of 118
  • Genetics 319
  • Biophysics 149
  • Pathology and Forensic Medicine 460
  • Endocrinology, Diabetes and Metabolism 311
  • Emergency Medicine 161
Replace Masashi Nishida with:
Masashi Nishida Japan
Bo Xiang Canada
Calvert Louden United States
Rongxue Wu United States
Viktor Brovkovych United States
Piero A. Martorana Italy
Richard D. Patten United States
Paul A. Brown United Kingdom
Nicolaas J.H. Raat Netherlands
Sabrina Martyr United States
Michèle Bernier relative to Masashi Nishida Japan Masashi Nishida's profile →
Citations per field
00.5×4.5×
Masashi Nishida · 1×
Citations per year

Countries citing papers authored by Michèle Bernier

Since Specialization
Citations

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

Fields of papers citing papers by Michèle Bernier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Michèle Bernier, 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 Michèle Bernier Line = papers co-authored together Michèle Bernier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2 202129
3 20192
4 20180
5 2018138
6 201747
7 201541
8 20157
9 201448
10 201244
11 201070
12 20090
13 2008118
14 20071
15 20054
16 20053
17 199963
18 199714
19 19904
20 198855

About Michèle Bernier

Michèle Bernier is a scholar working on Microbiology, Pathology and Forensic Medicine, Biophysics, Genetics and Endocrinology, Diabetes and Metabolism, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (14 papers), Cardiac electrophysiology and arrhythmias (9 papers), Glioma Diagnosis and Treatment (7 papers), Pituitary Gland Disorders and Treatments (7 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Electron Spin Resonance Studies (4 papers), Amoebic Infections and Treatments (3 papers) and Adrenal and Paraganglionic Tumors (3 papers). The work is most often cited by research in Genetics (319 citations), Biophysics (149 citations), Pathology and Forensic Medicine (460 citations), Endocrinology, Diabetes and Metabolism (311 citations) and Emergency Medicine (161 citations). Michèle Bernier has collaborated with scholars based in France, United Kingdom and Belgium. Frequent co-authors include David J. Hearse, A Manning, Yoshiki Kusama, Chiara Villa, S. Gaillard, Anna Luisa Di Stefano, Catherine Miquel, Michael J. Curtis, D HEARSE and Philippe Chanson. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Circulation Research, American Journal of Physiology-Heart and Circulatory Physiology, Free Radical Biology and Medicine and The Journal of Clinical Endocrinology & Metabolism.

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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