Eva Pajkrt

9.2k citations
269 papers · 5.7k indexed · h-index 42

Impact in

Papers in

Eva Pajkrt

258 papers receiving 5.5k citations

Peers

Eva Pajkrt
Comparison fields: 5 of 115
  • Obstetrics and Gynecology 1.7k
  • Pediatrics, Perinatology and Child Health 3.8k
  • Urology 351
  • Epidemiology 1.4k
  • Infectious Diseases 716
Replace C. M. Bilardo with:
C. M. Bilardo Netherlands
Alfred Abuhamad United States
Federico Prefumo Italy
Jon Hyett Australia
Anthony Odibo United States
T. Ghi Italy
Bryann Bromley United States
Alexandros Sotiriadis Greece
Greg Ryan Canada
F. D’Antonio Italy
Eva Pajkrt relative to C. M. Bilardo Netherlands C. M. Bilardo's profile →
Citations per field
00.5×2.8×
C. M. Bilardo · 1×
Citations per year

Countries citing papers authored by Eva Pajkrt

Since Specialization
Citations

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

Fields of papers citing papers by Eva Pajkrt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
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12 20208
13 201919
14 20199
15 20168
16 20150
17 201438
18 201315
19
[Ultrasound screening for Down's syndrome early in pregnancy: nuchal translucency thickness].
20021
20 200117

About Eva Pajkrt

Eva Pajkrt is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Urology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 269 papers that have together received 5.7k indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (86 papers), Preterm Birth and Chorioamnionitis (62 papers), Pregnancy and preeclampsia studies (57 papers), Maternal and Perinatal Health Interventions (47 papers), Pregnancy-related medical research (39 papers), Assisted Reproductive Technology and Twin Pregnancy (36 papers), Maternal and fetal healthcare (33 papers) and Congenital Anomalies and Fetal Surgery (33 papers). The work is most often cited by research in Obstetrics and Gynecology (1.7k citations), Pediatrics, Perinatology and Child Health (3.8k citations), Urology (351 citations), Epidemiology (1.4k citations) and Infectious Diseases (716 citations). Eva Pajkrt has collaborated with scholars based in Netherlands, Australia and United Kingdom. Frequent co-authors include Ben W. Mol, C. M. Bilardo, Lyn S. Chitty, C. Emily Kleinrouweler, Monique C. Haak, Otto P. Bleker, Irene M. de Graaf, Christianne J.M. de Groot, Martijn A. Oudijk and J. M. M. van Lith. Their work appears in journals such as Ultrasound in Obstetrics and Gynecology, Prenatal Diagnosis, American Journal of Obstetrics and Gynecology, European Journal of Obstetrics & Gynecology and Reproductive Biology and BJOG An International Journal of Obstetrics & Gynaecology.

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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