Antoine Abchee

1.0k citations
48 papers · 713 · h-index 16

Impact in

Papers in

Antoine Abchee

46 papers receiving 692 citations

Peers

Antoine Abchee
Comparison fields: 5 of 86
  • Cardiology and Cardiovascular Medicine 319
  • Endocrinology, Diabetes and Metabolism 72
  • Genetics 36
  • Genetics 82
  • Rheumatology 41
Replace Tomas Lenz with:
Tomas Lenz Germany
Steve Martin Canada
D Felmeden United Kingdom
Maria Domenica Guglielmi Italy
V. Votteas Greece
Simone Theilade Denmark
Frank P. Brouwers Netherlands
Tomohiko Kanaoka Japan
Amelia P. Bailey United States
M Liron Israel
Antoine Abchee relative to Tomas Lenz Germany Tomas Lenz's profile →
Citations per field
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Tomas Lenz · 1×
Citations per year

Countries citing papers authored by Antoine Abchee

Since Specialization
Citations

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

Fields of papers citing papers by Antoine Abchee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995105
2 1995103
3 200649
4 200449
5 200230
6
Prognostic significance of beta-myosin heavy chain mutations is reflective of their hypertrophic expressivity in patients with hypertrophic cardiomyopathy.
199727
7 201225
8 201422
9 200520
10 201520
11 201020
12 201720
13 201516
14 201816
15 202016
16 201715
17 202014
18 199513
19 201413
20 202312

About Antoine Abchee

Antoine Abchee is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Rheumatology, having authored 48 papers that have together received 713 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (12 papers), Cardiovascular Function and Risk Factors (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Cardiac Imaging and Diagnostics (4 papers), Folate and B Vitamins Research (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (319 citations), Endocrinology, Diabetes and Metabolism (72 citations), Genetics (36 citations), Genetics (82 citations) and Rheumatology (41 citations). Antoine Abchee has collaborated with scholars based in Lebanon, United States and France. Frequent co-authors include Ali J. Marian, Pierre Zalloua, Robert Roberts, R. Blake Hill, Daniel P. Kelly, Qiong Yu, Daniel E. Platt, Jean‐Bernard Durand, Houry Puzantian and Sami T. Azar. Their work appears in journals such as Atherosclerosis, Journal of the American College of Cardiology, Vascular Health and Risk Management, Diabetology & Metabolic Syndrome and Thrombosis Research.

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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