Caroline Daelemans

622 citations
18 papers · 241 · h-index 7

Impact in

Papers in

    • Maternal and Perinatal Health Interventions 4
    • COVID-19 Impact on Reproduction 2
    • Gestational Diabetes Research and Management 1
    • Genetic Syndromes and Imprinting 2

Caroline Daelemans

16 papers receiving 231 citations

Peers

Caroline Daelemans
Comparison fields: 5 of 41
  • Reproductive Medicine 84
  • Obstetrics and Gynecology 45
  • Pediatrics, Perinatology and Child Health 44
  • Public Health, Environmental and Occupational Health 53
  • Genetics 54
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Citations per year

Countries citing papers authored by Caroline Daelemans

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Daelemans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 200499
2 201048
3 202117
4 202115
5 201914
6 202014
7 201912
8 20195
9 20104
10 20163
11 20193
12 20222
13 20242
14 20201
15 20241
16
[Prenatal screening: the example of Down's syndrome screening].
20151
17 20220
18 20220

About Caroline Daelemans

Caroline Daelemans is a scholar working on Obstetrics and Gynecology, Genetics, Pediatrics, Perinatology and Child Health, Hematology and Physiology, having authored 18 papers that have together received 241 indexed citations. Recurring topics across this work include Maternal and Perinatal Health Interventions (4 papers), Genetic Syndromes and Imprinting (2 papers), COVID-19 Impact on Reproduction (2 papers), Simulation-Based Education in Healthcare (1 paper), Gestational Diabetes Research and Management (1 paper), Fetal and Pediatric Neurological Disorders (1 paper), Anatomy and Medical Technology (1 paper) and Ovarian function and disorders (1 paper). The work is most often cited by research in Reproductive Medicine (84 citations), Obstetrics and Gynecology (45 citations), Pediatrics, Perinatology and Child Health (44 citations), Public Health, Environmental and Occupational Health (53 citations) and Genetics (54 citations). Caroline Daelemans has collaborated with scholars based in Belgium, Switzerland and France. Frequent co-authors include Yvon Englert, Guillaume Smits, Gilbert Vassart, Anne Delbaere, Sabine Costagliola, Viviane De Maertelaer, Elena Costa, Matthew E. Ritchie, Simon Tavaré and Matthew S. Forrest. Their work appears in journals such as European Journal of Obstetrics & Gynecology and Reproductive Biology, BMC Pregnancy and Childbirth, BMC Genetics, The Journal of Clinical Endocrinology & Metabolism and The Journal of Maternal-Fetal & Neonatal Medicine.

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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