Daniéla Laux

841 total citations
32 papers, 456 citations indexed

About

Daniéla Laux is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniéla Laux has authored 32 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Epidemiology, 18 papers in Pulmonary and Respiratory Medicine and 15 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniéla Laux's work include Congenital Heart Disease Studies (23 papers), Coronary Artery Anomalies (8 papers) and Cardiovascular Issues in Pregnancy (7 papers). Daniéla Laux is often cited by papers focused on Congenital Heart Disease Studies (23 papers), Coronary Artery Anomalies (8 papers) and Cardiovascular Issues in Pregnancy (7 papers). Daniéla Laux collaborates with scholars based in France, Germany and United States. Daniéla Laux's co-authors include Damien Bonnet, Younès Boudjemline, Fanny Bajolle, Alban‐Elouen Baruteau, Marilyne Lévy, Emré Belli, Herbert Pilgrimm, Claus Zimmer, Matthias Taupitz and Gérald Simonneau and has published in prestigious journals such as The Annals of Thoracic Surgery, Archives of Disease in Childhood and Ultrasound in Obstetrics and Gynecology.

In The Last Decade

Daniéla Laux

31 papers receiving 443 citations

Peers

Daniéla Laux
Comparison fields: 5 of 56
  • Pulmonary and Respiratory Medicine 235
  • Epidemiology 226
  • Surgery 178
  • Cardiology and Cardiovascular Medicine 138
  • Molecular Biology 65
Replace Adam Mazurek with:
Adam Mazurek Poland
Brian Reemtsen United States
Zhihuang Qiu China
Marcus-André Deutsch Germany
Sadahiko Arai Japan
Jiawei Zhao China
Shinpei Yoshii Japan
D. Gamondès France
Michael Gottsauner‐Wolf Austria
Adam Mazurek Poland View profile →
Citations per field, relative to Daniéla Laux
Daniéla Laux · 1×
Citations per year, relative to Daniéla Laux
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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-authorship network of co-authors of Daniéla Laux

This figure shows the co-authorship network connecting the top 25 collaborators of Daniéla Laux. A scholar is included among the top collaborators of Daniéla Laux 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 Daniéla Laux. Daniéla Laux is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 5
5 24
6 22
7 30
8 12
9 3
10 1
11 11
12 11
13 91
14 9
15 1
16 8
17 2
18 10
19 1
20 81

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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