Michèle Bally

630 total citations · 1 hit paper
9 papers, 421 citations indexed

About

Michèle Bally is a scholar working on Pharmacology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Michèle Bally has authored 9 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pharmacology, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Surgery. Recurrent topics in Michèle Bally's work include Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Inflammatory mediators and NSAID effects (3 papers) and Advanced Causal Inference Techniques (2 papers). Michèle Bally is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Inflammatory mediators and NSAID effects (3 papers) and Advanced Causal Inference Techniques (2 papers). Michèle Bally collaborates with scholars based in Canada, United States and Germany. Michèle Bally's co-authors include James M. Brophy, Lyne Nadeau, Nandini Dendukuri, Benjamin Rich, Edeltraut Garbe, Arja Helin‐Salmivaara, Michał Abrahamowicz, Marie‐Eve Beauchamp, Alison Sinclair and M Poisson and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biometrics.

In The Last Decade

Michèle Bally

9 papers receiving 403 citations

Hit Papers

Risk of acute myocardial infarction with NSAIDs in real w... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michèle Bally Canada 5 175 85 79 78 52 9 421
Nitin Chandurkar India 12 109 0.6× 60 0.7× 68 0.9× 61 0.8× 29 0.6× 24 387
Xiaoyan Yang China 13 113 0.6× 163 1.9× 66 0.8× 24 0.3× 244 4.7× 38 741
Michael Ward Australia 11 47 0.3× 80 0.9× 107 1.4× 49 0.6× 41 0.8× 50 436
Joseph P. Rindone United States 14 174 1.0× 110 1.3× 55 0.7× 92 1.2× 43 0.8× 28 559
Sung Eun Sim South Korea 6 168 1.0× 175 2.1× 133 1.7× 16 0.2× 68 1.3× 19 657
Franck Ceppa France 10 73 0.4× 70 0.8× 67 0.8× 12 0.2× 57 1.1× 52 359
Ryuichi Ogawa Japan 11 66 0.4× 95 1.1× 93 1.2× 12 0.2× 49 0.9× 40 553
Keita Hirai Japan 16 115 0.7× 95 1.1× 27 0.3× 16 0.2× 79 1.5× 50 690
Hilde Giezek United States 14 128 0.7× 300 3.5× 32 0.4× 31 0.4× 96 1.8× 26 780
Jia Miao China 11 58 0.3× 98 1.2× 41 0.5× 17 0.2× 106 2.0× 43 562

Countries citing papers authored by Michèle Bally

Since Specialization
Citations

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

Fields of papers citing papers by Michèle Bally

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michèle Bally

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

All Works

9 of 9 papers shown
1.
Ertefaie, Ashkan, et al.. (2025). Penalized G-estimation for effect modifier selection in a structural nested mean model for repeated outcomes. Biometrics. 81(1). 1 indexed citations
2.
Bayani, Azadeh, et al.. (2024). Assessing the impact of transitioning to 11th revision of the International Classification of Diseases (ICD-11) on comorbidity indices. Journal of the American Medical Informatics Association. 31(6). 1219–1226. 1 indexed citations
3.
Choinière, Manon, Michèle Bally, Marie‐Pierre Dubé, et al.. (2020). Statin Initiation: Guideline Concordance and Characteristics of New Users in Quebec, Canada. 27(3). e69–e77. 1 indexed citations
4.
Bally, Michèle, Lyne Nadeau, & James M. Brophy. (2018). Studying additive interaction in a healthcare database: Case study of NSAIDs, cardiovascular profiles, and acute myocardial infarction. PLoS ONE. 13(8). e0201884–e0201884. 3 indexed citations
5.
Bally, Michèle, Nandini Dendukuri, Benjamin Rich, et al.. (2017). Risk of acute myocardial infarction with NSAIDs in real world use: bayesian meta-analysis of individual patient data. BMJ. 357. j1909–j1909. 341 indexed citations breakdown →
6.
Bally, Michèle, Marie‐Eve Beauchamp, Michał Abrahamowicz, Lyne Nadeau, & James M. Brophy. (2017). Risk of acute myocardial infarction with real‐world NSAIDs depends on dose and timing of exposure. Pharmacoepidemiology and Drug Safety. 27(1). 69–77. 28 indexed citations
7.
Schnitzer, Mireille E., Russell Steele, Michèle Bally, & Ian Shrier. (2016). A Causal Inference Approach to Network Meta-Analysis. SHILAP Revista de lepidopterología. 11 indexed citations
8.
Bally, Michèle, Nandini Dendukuri, Alison Sinclair, et al.. (2012). A network meta-analysis of antibiotics for treatment of hospitalised patients with suspected or proven meticillin-resistant Staphylococcus aureus infection. International Journal of Antimicrobial Agents. 40(6). 479–495. 24 indexed citations
9.
Cersosimo, Robert J., et al.. (1985). Bleomycin Pneumonitis Potentiated by Oxygen Administration. Drug Intelligence & Clinical Pharmacy. 19(12). 921–923. 11 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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