Marc Laskar

5.1k citations
50 papers · 1.8k indexed · h-index 23

Marc Laskar

48 papers receiving 1.7k citations

Peers

Marc Laskar
Comparison fields: 5 of 79
  • Cardiology and Cardiovascular Medicine 1.4k
  • Epidemiology 785
  • Transplantation 51
  • Pulmonary and Respiratory Medicine 581
  • Internal Medicine 60
Replace Andrew Newcomb with:
Andrew Newcomb Australia
Edwin C. McGough United States
James Brown United States
Nevio Taglieri Italy
Stephen Brecker United Kingdom
Hunaid A. Vohra United Kingdom
Prakash A. Patel United States
Franz Immer Switzerland
Bahaaldin Alsoufi United States
Sameer Gafoor Germany
Marc Laskar relative to Andrew Newcomb Australia Andrew Newcomb's profile →
Citations per field
00.5×4.3×
Andrew Newcomb · 1×
Citations per year

Countries citing papers authored by Marc Laskar

Since Specialization
Citations

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

Fields of papers citing papers by Marc Laskar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20155
2 20156
3 201519
4 201520
5 201567
6 201589
7 2014146
8 201445
9 201414
10 201448
11 201382
12 201362
13 20122
14 20124
15 201140
16 20111
17 20108
18 201066
19 200820
20 200649

About Marc Laskar

Marc Laskar is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Epidemiology, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (27 papers), Infective Endocarditis Diagnosis and Management (19 papers), Cardiac Imaging and Diagnostics (12 papers), Aortic Disease and Treatment Approaches (9 papers), Atrial Fibrillation Management and Outcomes (7 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers), Peripheral Artery Disease Management (4 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Epidemiology (785 citations) and Transplantation (51 citations). Marc Laskar has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Martine Gilard, Hélène Eltchaninoff, Victor Aboyans, Bernard Iung, Pascal Leprince, Emmanuel Teíger, Patrick Donzeau‐Gouge, Jean Fajadet, Alain Leguerrier and Michel Lièvre. Their work appears in journals such as The American Journal of Cardiology, Circulation, Journal of the American College of Cardiology, European Journal of Cardio-Thoracic Surgery and International Journal of Cardiology.

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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