Stephen Carroll

950 citations
33 papers · 654 · h-index 16

Impact in

Papers in

Stephen Carroll

31 papers receiving 613 citations

Peers

Stephen Carroll
Comparison fields: 5 of 81
  • Obstetrics and Gynecology 139
  • Pediatrics, Perinatology and Child Health 312
  • Behavioral Neuroscience 20
  • Aquatic Science 22
  • Cellular and Molecular Neuroscience 47
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Nikolaos Vitoratos Greece
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Citations per field
00.5×7.3×
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Citations per year

Countries citing papers authored by Stephen Carroll

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Carroll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199173
2 201166
3 198455
4 201148
5 201143
6 201243
7 202237
8 200223
9 201521
10 201121
11 201521
12 200120
13 201320
14 200019
15 199419
16 201315
17 202114
18 202113
19 199613
20 199513

About Stephen Carroll

Stephen Carroll is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Epidemiology, Surgery and Aquatic Science, having authored 33 papers that have together received 654 indexed citations. Recurring topics across this work include Assisted Reproductive Technology and Twin Pregnancy (10 papers), Maternal and fetal healthcare (5 papers), Fetal and Pediatric Neurological Disorders (3 papers), Prenatal Screening and Diagnostics (3 papers), Blood groups and transfusion (2 papers), Pregnancy and preeclampsia studies (2 papers), Aquaculture Nutrition and Growth (2 papers) and Maternal and Perinatal Health Interventions (2 papers). The work is most often cited by research in Obstetrics and Gynecology (139 citations), Pediatrics, Perinatology and Child Health (312 citations), Behavioral Neuroscience (20 citations), Aquatic Science (22 citations) and Cellular and Molecular Neuroscience (47 citations). Stephen Carroll has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Fionnuala M. McAuliffe, Shane Higgins, Fergal D. Malone, Patrick Dicker, Fionnuala Breathnach, John R. Higgins, Gerard Burke, Michael Geary, Sean Daly and John J. Morrison. Their work appears in journals such as International Journal of Gynecology & Obstetrics, American Journal of Obstetrics and Gynecology, European Journal of Obstetrics & Gynecology and Reproductive Biology, Acta Obstetricia Et Gynecologica Scandinavica and Prenatal Diagnosis.

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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