Jerôme Premmereur

3.2k total citations · 2 hit papers
9 papers, 2.2k citations indexed

About

Jerôme Premmereur is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Surgery. According to data from OpenAlex, Jerôme Premmereur has authored 9 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 7 papers in Internal Medicine and 4 papers in Surgery. Recurrent topics in Jerôme Premmereur's work include Acute Myocardial Infarction Research (8 papers), Venous Thromboembolism Diagnosis and Management (7 papers) and Atrial Fibrillation Management and Outcomes (4 papers). Jerôme Premmereur is often cited by papers focused on Acute Myocardial Infarction Research (8 papers), Venous Thromboembolism Diagnosis and Management (7 papers) and Atrial Fibrillation Management and Outcomes (4 papers). Jerôme Premmereur collaborates with scholars based in United States, Canada and United Kingdom. Jerôme Premmereur's co-authors include Enrique Gurfinkel, Eugene Braunwald, David Radley, Carolyn H. McCabe, Elliott M. Antman, Christine Demers, Gregg Fromell, Alexander G.G. Turpie, Keith A.A. Fox and Anatoly Langer and has published in prestigious journals such as New England Journal of Medicine, Circulation and The American Journal of Cardiology.

In The Last Decade

Jerôme Premmereur

9 papers receiving 2.1k citations

Hit Papers

A Comparison of Low-Molec... 1997 2026 2006 2016 1997 1999 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jerôme Premmereur 2.1k 1.1k 889 562 82 9 2.2k
Frédérique Bigonzi 1.8k 0.9× 970 0.9× 741 0.8× 413 0.7× 105 1.3× 20 2.0k
Shaun Goodman 981 0.5× 547 0.5× 442 0.5× 256 0.5× 42 0.5× 3 1.1k
Alexander G. G. Turpie 1.3k 0.6× 717 0.6× 404 0.5× 237 0.4× 68 0.8× 17 1.5k
Petr Widimský 1.2k 0.6× 231 0.2× 560 0.6× 220 0.4× 37 0.5× 36 1.3k
Pierre Déguisé 940 0.5× 376 0.3× 512 0.6× 274 0.5× 60 0.7× 10 1.2k
Patrick Coussement 843 0.4× 221 0.2× 496 0.6× 278 0.5× 61 0.7× 40 1.0k
Pieter J. Vlaar 1.8k 0.9× 331 0.3× 1.3k 1.5× 920 1.6× 10 0.1× 36 1.9k
Brent McLaurin 1.3k 0.6× 345 0.3× 974 1.1× 342 0.6× 27 0.3× 24 1.5k
Iwan C. van der Horst 1.2k 0.6× 271 0.2× 873 1.0× 584 1.0× 8 0.1× 10 1.4k
Noah Chelliah 1.9k 0.9× 165 0.1× 1.2k 1.4× 1.1k 2.0× 15 0.2× 11 2.1k

Countries citing papers authored by Jerôme Premmereur

Since Specialization
Citations

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

Fields of papers citing papers by Jerôme Premmereur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jerôme Premmereur

This figure shows the co-authorship network connecting the top 25 collaborators of Jerôme Premmereur. A scholar is included among the top collaborators of Jerôme Premmereur 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 Jerôme Premmereur. Jerôme Premmereur 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.
Holper, Elizabeth M., Elliott M. Antman, Carolyn H. McCabe, et al.. (2001). A simple, readily available method for risk stratification of patients with unstable angina and non-ST elevation myocardial infarction. The American Journal of Cardiology. 87(8). 1008–1010. 4 indexed citations
2.
Premmereur, Jerôme, et al.. (1999). Usefulness of intravenous enoxaparin for percutaneous coronary intervention in stable angina pectoris. The American Journal of Cardiology. 84(12). 1391–1395. 67 indexed citations
3.
Premmereur, Jerôme, et al.. (1999). Comparison of an intravenous bolus of enoxaparin versus unfractionated heparin in elective coronary angioplasty. 14. 1 indexed citations
4.
Antman, Elliott M., Carolyn H. McCabe, Enrique Gurfinkel, et al.. (1999). Enoxaparin Prevents Death and Cardiac Ischemic Events in Unstable Angina/Non–Q-Wave Myocardial Infarction. Circulation. 100(15). 1593–1601. 729 indexed citations breakdown →
5.
Antman, Elliott M., Marc Cohen, David Radley, et al.. (1999). Assessment of the Treatment Effect of Enoxaparin for Unstable Angina/Non–Q-Wave Myocardial Infarction. Circulation. 100(15). 1602–1608. 305 indexed citations
6.
Cohen, Marc, Christine Demers, Enrique Gurfinkel, et al.. (1998). Low-molecular-weight heparins in non–ST-segment elevation ischemia: the ESSENCE trial. The American Journal of Cardiology. 82(5). 19L–24L. 68 indexed citations
7.
Cohen, Marc J., Christine Demers, Enrique Gurfinkel, et al.. (1997). A Comparison of Low-Molecular-Weight Heparin with Unfractionated Heparin for Unstable Coronary Artery Disease. New England Journal of Medicine. 337(7). 447–452. 1004 indexed citations breakdown →
9.
Cavero, Icilio & Jerôme Premmereur. (1994). ATP sensitive potassium channel openers are of potential benefit in ischaemic heart disease. Cardiovascular Research. 28(1). 32–33. 14 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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