Michel Ibrahim

1.1k citations
56 papers · 775 · h-index 17

Impact in

Papers in

Michel Ibrahim

54 papers receiving 672 citations

Peers

Michel Ibrahim
Comparison fields: 5 of 129
  • Cardiology and Cardiovascular Medicine 235
  • General Health Professions 194
  • Family Practice 10
  • Health 39
  • Medical Terminology 1
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Ryan Ng Canada
Alessio Petrelli Italy
Isabel del Cura-González Spain
Antônio Luiz Pinho Ribeiro Brazil
Beth S. Finkelstein United States
V. Raman Kutty India
Lindsay R. Pool United States
Irma E. Arispe United States
Farshid Alaeddini Iran
Katie Dain United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Michel Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by Michel Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197478
2 199161
3 200446
4 200544
5 198443
6
Veterans Affairs primary care organizational characteristics associated with better diabetes control.
200541
7 198438
8 202136
9 202026
10 196626
11 196823
12 198522
13 199521
14 201920
15
Scientific uncertainties in the studies of salicylate use and Reye's syndrome.
198319
16 198619
17 197617
18 197816
19 202115
20 200814

About Michel Ibrahim

Michel Ibrahim is a scholar working on General Health Professions, Cardiology and Cardiovascular Medicine, Surgery, Public Health, Environmental and Occupational Health and Economics and Econometrics, having authored 56 papers that have together received 775 indexed citations. Recurring topics across this work include Primary Care and Health Outcomes (6 papers), Healthcare Policy and Management (4 papers), Blood Pressure and Hypertension Studies (3 papers), Migraine and Headache Studies (3 papers), Public Health Policies and Education (3 papers), Cardiac Structural Anomalies and Repair (3 papers), Cardiac Valve Diseases and Treatments (3 papers) and Cardiovascular Issues in Pregnancy (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (235 citations), General Health Professions (194 citations), Family Practice (10 citations), Health (39 citations) and Medical Terminology (1 citation). Michel Ibrahim has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Edward H. Wagner, David G. Kleinbaum, David Strogatz, Sherman A. James, Harry A. Sultz, Raymond S. Greenberg, Joseph Feldman, Warren Winkelstein, Seymour Kantor and David C. Dean. Their work appears in journals such as American Journal of Public Health, American Journal of Epidemiology, Circulation, Heart Failure Reviews and Medical Care.

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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