Fátima Serrano

35 papers receiving 409 citations

Peers

Fátima Serrano
Comparison fields: 5 of 81
  • Obstetrics and Gynecology 151
  • Pediatrics, Perinatology and Child Health 104
  • Rheumatology 67
  • Health 36
  • Immunology 79
Replace Nancy T. Field with:
Nancy T. Field United States
Reut Rotem Israel
S. Bobdiwala United Kingdom
Amirhossein Moaddab United States
Stephen Cole Australia
Can Benlioğlu Türkiye
Moeun Son United States
Jeannie C. Kelly United States
Eran Bornstein United States
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Citations per field
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Citations per year

Countries citing papers authored by Fátima Serrano

Since Specialization
Citations

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

Fields of papers citing papers by Fátima Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200681
2 202135
3 202134
4 200930
5 201926
6 201623
7 201920
8 202019
9 201118
10 202016
11 201415
12 201813
13 202111
14 20229
15
Primary antiphospholipid syndrome: pregnancy outcome in a portuguese population.
20099
16 20198
17
[Episiotomy -- routine versus selective use].
20068
18 20137
19 20215
20 20214

About Fátima Serrano

Fátima Serrano is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Rheumatology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 41 papers that have together received 420 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (6 papers), Preterm Birth and Chorioamnionitis (6 papers), Neonatal Respiratory Health Research (6 papers), Non-Invasive Vital Sign Monitoring (5 papers), Systemic Lupus Erythematosus Research (5 papers), Pregnancy and Medication Impact (4 papers), Gestational Diabetes Research and Management (4 papers) and Cardiovascular Issues in Pregnancy (4 papers). The work is most often cited by research in Obstetrics and Gynecology (151 citations), Pediatrics, Perinatology and Child Health (104 citations), Rheumatology (67 citations), Health (36 citations) and Immunology (79 citations). Fátima Serrano has collaborated with scholars based in Portugal, Denmark and United States. Frequent co-authors include Maria Luı́sa Lima, Arnaldo Batista, Manuel Duarte Ortigueira, Helena Soares, Rogério T. Ribeiro, Juliana Gonçalves, Valentina Vassilenko, Jaime Branco, Helena Canhão and Marta Alves. Their work appears in journals such as Journal of Perinatal Medicine, Computers in Biology and Medicine, Biomedical Signal Processing and Control, Sensors and Clinical Reviews in Allergy & Immunology.

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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