Lilia Curzi‐Dascalova

856 citations
24 papers · 645 indexed · h-index 13

Lilia Curzi‐Dascalova

24 papers receiving 623 citations

Peers

Lilia Curzi‐Dascalova
Comparison fields: 5 of 64
  • Endocrine and Autonomic Systems 375
  • Pharmacy 91
  • Pediatrics, Perinatology and Child Health 274
  • Cognitive Neuroscience 158
  • Pulmonary and Respiratory Medicine 220
Replace L. Curzi-Dascalova with:
L. Curzi-Dascalova France
J. Groswasser Belgium
Roger B. Baldwin United States
Susan Coons United States
Heidi L. Richardson Australia
D Samson-Dollfus France
Frances McNamara Australia
Susan M Cranage Australia
Y Navelet France
C Dreyfus-Brisac France
Lilia Curzi‐Dascalova relative to L. Curzi-Dascalova France L. Curzi-Dascalova's profile →
Citations per field
00.5×1.5×
L. Curzi-Dascalova · 1×
Citations per year

Countries citing papers authored by Lilia Curzi‐Dascalova

Since Specialization
Citations

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

Fields of papers citing papers by Lilia Curzi‐Dascalova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lilia Curzi‐Dascalova. 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 Lilia Curzi‐Dascalova. The network helps show where Lilia Curzi‐Dascalova may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20065
2 200230
3 200252
4 20019
5 200112
6 200012
7 199910
8 199838
9 19983
10 199760
11 199627
12 199412
13 199220
14 19921
15 199292
16 19926
17 1988139
18 198338
19 198127
20 197818

About Lilia Curzi‐Dascalova

Lilia Curzi‐Dascalova is a scholar working on Endocrine and Autonomic Systems, Pediatrics, Perinatology and Child Health, Pharmacy, Gastroenterology and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 645 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (19 papers), Infant Development and Preterm Care (9 papers), Neonatal and fetal brain pathology (7 papers), Neonatal Respiratory Health Research (7 papers), Heart Rate Variability and Autonomic Control (6 papers), EEG and Brain-Computer Interfaces (3 papers), Infant Health and Development (3 papers) and Gastroesophageal reflux and treatments (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (375 citations), Pharmacy (91 citations), Pediatrics, Perinatology and Child Health (274 citations), Cognitive Neuroscience (158 citations) and Pulmonary and Respiratory Medicine (220 citations). Lilia Curzi‐Dascalova has collaborated with scholars based in France, Italy and Austria. Frequent co-authors include Patricio Peirano, Maurizio Elia, F. Kauffmann, Raffaele Ferri, S Musumeci, Claire Médigue, Jean Clairambault, Stefano Del Gracco, Claude Gaultier and C Dreyfus-Brisac. Their work appears in journals such as Early Human Development, Journal of Sleep Research, Pediatric Research, Journal of Pediatric Gastroenterology and Nutrition and Neonatology.

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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