Daniéla Laux

841 citations
32 papers · 456 · h-index 12

Impact in

Papers in

Daniéla Laux

31 papers receiving 443 citations

Peers

Daniéla Laux
Comparison fields: 5 of 56
  • Pulmonary and Respiratory Medicine 235
  • Epidemiology 226
  • Cardiology and Cardiovascular Medicine 138
  • Surgery 178
  • Genetics 39
Replace Sadahiko Arai with:
Sadahiko Arai Japan
Brian Reemtsen United States
Marcus-André Deutsch Germany
Zhihuang Qiu China
Shinichi Ohtsuki Japan
D. Gamondès France
Celso Kiyochi Takimura Brazil
Adam M. Sonabend United States
Michał Zembala Poland
Daniéla Laux relative to Sadahiko Arai Japan Sadahiko Arai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniéla Laux

Since Specialization
Citations

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

Fields of papers citing papers by Daniéla Laux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201491
2 200281
3 201238
4 201530
5 201624
6 201622
7 201621
8 200817
9 201515
10 201314
11 201512
12 201411
13 201411
14 201210
15 201310
16 20139
17 20138
18 20156
19 20195
20 20224

About Daniéla Laux

Daniéla Laux is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Surgery and Biomedical Engineering, having authored 32 papers that have together received 456 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (23 papers), Coronary Artery Anomalies (8 papers), Cardiovascular Issues in Pregnancy (7 papers), Congenital Diaphragmatic Hernia Studies (5 papers), Pulmonary Hypertension Research and Treatments (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Cardiac Arrhythmias and Treatments (3 papers) and Cardiac Structural Anomalies and Repair (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (235 citations), Epidemiology (226 citations), Cardiology and Cardiovascular Medicine (138 citations), Surgery (178 citations) and Genetics (39 citations). Daniéla Laux has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Damien Bonnet, Younès Boudjemline, Fanny Bajolle, Alban‐Elouen Baruteau, Emré Belli, Marilyne Lévy, Claus Zimmer, Marc Humbert, Matthias Taupitz and Mayk Kresse. Their work appears in journals such as Ultrasound in Obstetrics and Gynecology, Archives of cardiovascular diseases, Interactive Cardiovascular and Thoracic Surgery, European Journal of Cardio-Thoracic Surgery and Investigative Radiology.

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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