J.-F. Magny

694 citations
50 papers · 427 · h-index 10

Impact in

Papers in

J.-F. Magny

47 papers receiving 411 citations

Peers

J.-F. Magny
Comparison fields: 5 of 67
  • Pediatrics, Perinatology and Child Health 159
  • Endocrine and Autonomic Systems 39
  • Infectious Diseases 100
  • Epidemiology 185
  • Obstetrics and Gynecology 33
Replace Gregory L. Jackson with:
Gregory L. Jackson United States
Jerzy Szczapa Poland
C. Castel France
Elizabeth K. Stehel United States
Audra Stewart United States
Dong Woo Son South Korea
Dioclécio Campos Brazil
Ann Casteels Belgium
Joppe Nijman Netherlands
D Anagnostakis Greece
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Citations per field
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Citations per year

Countries citing papers authored by J.-F. Magny

Since Specialization
Citations

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

Fields of papers citing papers by J.-F. Magny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.-F. Magny. 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 J.-F. Magny. The network helps show where J.-F. Magny may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201158
2 200753
3 201839
4 201937
5 202032
6 201728
7 198321
8 200219
9 201818
10 199013
11 20048
12 20048
13 20118
14 19878
15 19907
16 19985
17
[Perinatal corticosteroid therapy: modalities, efficacy, consequences].
20015
18 20044
19 20094
20
[Sudden newborn infant death in maternity. Anatomo-clinical study of 31 cases].
19934

About J.-F. Magny

J.-F. Magny is a scholar working on Pediatrics, Perinatology and Child Health, Epidemiology, Pulmonary and Respiratory Medicine, Infectious Diseases and Surgery, having authored 50 papers that have together received 427 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (12 papers), Neonatal Health and Biochemistry (7 papers), Infant Development and Preterm Care (6 papers), Breastfeeding Practices and Influences (6 papers), Cytomegalovirus and herpesvirus research (6 papers), Parvovirus B19 Infection Studies (6 papers), Child Nutrition and Feeding Issues (5 papers) and Neonatal and fetal brain pathology (5 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (159 citations), Endocrine and Autonomic Systems (39 citations), Infectious Diseases (100 citations), Epidemiology (185 citations) and Obstetrics and Gynecology (33 citations). J.-F. Magny has collaborated with scholars based in France, United States and Russia. Frequent co-authors include François Kieffer, Y. Ville, Virginie Rigourd, Marianne Leruez‐Ville, M.R. Benoist, Thierry Lacaze‐Masmonteil, Christophe Delacourt, P.-H. Jarreau, Bruno Mahut and J. de Blic. Their work appears in journals such as BJOG An International Journal of Obstetrics & Gynaecology, Acta Paediatrica, Archives de Pédiatrie, Clinical Infectious Diseases and Clinical Chemistry and Laboratory Medicine (CCLM).

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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