Fátima Serrano

35 papers receiving 416 citations

Peers

Fátima Serrano
Comparison fields: 5 of 77
  • Obstetrics and Gynecology 124
  • Rheumatology 63
  • Pediatrics, Perinatology and Child Health 74
  • Health 25
  • Computational Mathematics 2
Replace Aileen M. Gariepy with:
Aileen M. Gariepy United States
S. Bobdiwala United Kingdom
Nancy T. Field United States
Eran Bornstein United States
Rachel F. Spitzer Canada
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Ed Mitchel United States
Meghana Limaye United States
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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 200682
2 202136
3 202134
4 200930
5 201927
6 201623
7 201920
8 202019
9 201118
10 202016
11 201415
12 201813
13 202111
14 202210
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 20224

About Fátima Serrano

Fátima Serrano is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Epidemiology and Rheumatology, having authored 41 papers that have together received 426 indexed citations. Recurring topics across this work include Preterm Birth and Chorioamnionitis (6 papers), Neonatal Respiratory Health Research (6 papers), Non-Invasive Vital Sign Monitoring (5 papers), Gestational Diabetes Research and Management (4 papers), Systemic Lupus Erythematosus Research (4 papers), COVID-19 Impact on Reproduction (3 papers), Neonatal and fetal brain pathology (3 papers) and Pregnancy and Medication Impact (3 papers). The work is most often cited by research in Obstetrics and Gynecology (124 citations), Rheumatology (63 citations), Pediatrics, Perinatology and Child Health (74 citations), Health (25 citations) and Computational Mathematics (2 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, Rogério T. Ribeiro, Helena Soares, Juliana Gonçalves, Valentina Vassilenko, Ana Luísa Papoila, Carolina Abreu de Carvalho and Helena Canhão. Their work appears in journals such as Journal of Perinatal Medicine, Clinical Reviews in Allergy & Immunology, Sensors, Computers in Biology and Medicine and Biomedical Signal Processing and Control.

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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