M. A. Müller

666 citations
17 papers · 393 · h-index 9

Impact in

Papers in

M. A. Müller

17 papers receiving 368 citations

Peers

M. A. Müller
Comparison fields: 5 of 31
  • Pediatrics, Perinatology and Child Health 296
  • Infectious Diseases 61
  • Obstetrics and Gynecology 18
  • Surgery 87
  • Epidemiology 54
Replace Jeffrey M. Braithwaite with:
Jeffrey M. Braithwaite United Kingdom
Sara Goldman United States
P. Pandya United Kingdom
J. Karim United Kingdom
Carmel Mullaney Ireland
P. Shekleton Australia
Sophie Dreux France
Lami Yeo United States
H. Skentou United Kingdom
Winston A. Campbell United States
M. A. Müller relative to Jeffrey M. Braithwaite United Kingdom Jeffrey M. Braithwaite's profile →
Citations per field
00.5×
Jeffrey M. Braithwaite · 1×
Citations per year

Countries citing papers authored by M. A. Müller

Since Specialization
Citations

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

Fields of papers citing papers by M. A. Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. A. Müller. 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 M. A. Müller. The network helps show where M. A. Müller may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2007123
2 2001104
3 200734
4 200426
5 200423
6 200622
7 200118
8 200615
9 20149
10 20006
11 20245
12 20172
13
[Ultrasound and clinical studies of periventricular leukomalacia in high risk newborn infants. II. Perinatal risk factors].
19972
14 20001
15 20031
16
[Problems of syphilis in pregnancy].
19511
17
[Ultrasound and clinical studies of periventricular leukomalacia in high risk newborn infants. I. Neuro-ultrasound results].
19971

About M. A. Müller

M. A. Müller is a scholar working on Pediatrics, Perinatology and Child Health, Surgery, Pulmonary and Respiratory Medicine, Infectious Diseases and Epidemiology, having authored 17 papers that have together received 393 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (11 papers), Neonatal Respiratory Health Research (2 papers), Congenital Anomalies and Fetal Surgery (1 paper), Congenital Diaphragmatic Hernia Studies (1 paper), Metabolism and Genetic Disorders (1 paper), Neonatal and fetal brain pathology (1 paper), Parvovirus B19 Infection Studies (1 paper) and Preterm Birth and Chorioamnionitis (1 paper). The work is most often cited by research in Pediatrics, Perinatology and Child Health (296 citations), Infectious Diseases (61 citations), Obstetrics and Gynecology (18 citations), Surgery (87 citations) and Epidemiology (54 citations). M. A. Müller has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include C. M. Bilardo, Eva Pajkrt, L. Zikulnig, Maria Schipper, S. A. Clur, Emilia K. Bijlsma, Kurt Hecher, Otto P. Bleker, Gouke J. Bonsel and Caterina M. Bilardo. Their work appears in journals such as Ultrasound in Obstetrics and Gynecology, Prenatal Diagnosis, BMJ, Current Opinion in Obstetrics & Gynecology and Placenta.

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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