L Fermont

63 papers receiving 1.8k citations

Hit Papers

Detection of Transposition of the Great Arteries in Fetuses Reduces Neonatal Morbidity and Mortality 1999 · 545 citations
5450+9+18Years since publication100200300400500

Peers

L Fermont
Comparison fields: 5 of 61
  • Epidemiology 1.2k
  • Obstetrics and Gynecology 225
  • Cardiology and Cardiovascular Medicine 569
  • Pediatrics, Perinatology and Child Health 485
  • Surgery 843
Replace K. S. Heling with:
K. S. Heling Germany
B. Messing Israel
U. Germer Germany
R. Bald Germany
Lawrence Platt United States
Leon M. Gerlis United Kingdom
Susan Shen‐Schwarz United States
Nancy E. Budorick United States
D A Nyberg United States
Maurizio Marasini Italy
L Fermont relative to K. S. Heling Germany K. S. Heling's profile →
Citations per field
00.5×5.4×
K. S. Heling · 1×
Citations per year

Countries citing papers authored by L Fermont

Since Specialization
Citations

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

Fields of papers citing papers by L Fermont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Detection of Transposition of the Great Arteries in Fetuses Reduces Neonatal Morbidity and Mortality
Hit paper breakdown →
1999545
2 2006111
3 200189
4 200485
5 200183
6 200271
7 200368
8 199660
9 200657
10 200347
11 199645
12 200243
13 199538
14 201238
15 198437
16 201034
17 199231
18 201627
19 200127
20 200826

About L Fermont

L Fermont is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 64 papers that have together received 1.9k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (34 papers), Cardiovascular Issues in Pregnancy (19 papers), Cardiac Arrhythmias and Treatments (10 papers), Congenital Diaphragmatic Hernia Studies (9 papers), Pregnancy and preeclampsia studies (7 papers), Congenital heart defects research (7 papers), Coronary Artery Anomalies (6 papers) and Vascular anomalies and interventions (6 papers). The work is most often cited by research in Epidemiology (1.2k citations), Obstetrics and Gynecology (225 citations), Cardiology and Cardiovascular Medicine (569 citations), Pediatrics, Perinatology and Child Health (485 citations) and Surgery (843 citations). L Fermont has collaborated with scholars based in France, Italy and Togo. Frequent co-authors include Damien Bonnet, J. Le Bidois, Daniel Sidi, J Kachaner, Yves Dumez, Marc Dommergues, Younès Boudjemline, D. Mahieu‐Caputo, Phalla Ou and Éloi Marijon. Their work appears in journals such as Ultrasound in Obstetrics and Gynecology, Prenatal Diagnosis, Journal of Thoracic and Cardiovascular Surgery, Fetal Diagnosis and Therapy and Circulation.

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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