Ana Sofia Cerdeira

2.7k citations
52 papers · 2.0k · h-index 21

Impact in

Papers in

Ana Sofia Cerdeira

52 papers receiving 2.0k citations

Peers

Ana Sofia Cerdeira
Comparison fields: 5 of 85
  • Obstetrics and Gynecology 1.4k
  • Pediatrics, Perinatology and Child Health 609
  • Immunology 604
  • Cancer Research 132
  • Reproductive Medicine 61
Replace Keiichi Kumasawa with:
Keiichi Kumasawa Japan
James Roberts United States
Guido Menato Italy
Ofer Beharier Israel
Zhan Zhang China
Haruta Mogami Japan
İbrahim Bildirici Türkiye
Wenda Ramma United Kingdom
Asmaa M. Ahmed Egypt
Jingxia Sun China
Ana Sofia Cerdeira relative to Keiichi Kumasawa Japan Keiichi Kumasawa's profile →
Citations per field
00.5×1.5×2.1×
Keiichi Kumasawa · 1×
Citations per year

Countries citing papers authored by Ana Sofia Cerdeira

Since Specialization
Citations

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

Fields of papers citing papers by Ana Sofia Cerdeira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana Sofia Cerdeira. 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 Ana Sofia Cerdeira. The network helps show where Ana Sofia Cerdeira may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013163
2 2006163
3 2012152
4 2015152
5 2017132
6 2017131
7 2013126
8 2019104
9 2012103
10 201994
11 201985
12 201963
13 201757
14 201253
15 201447
16 201441
17 201937
18 201734
19 201930
20 201528

About Ana Sofia Cerdeira

Ana Sofia Cerdeira is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Immunology, Surgery and Molecular Biology, having authored 52 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (42 papers), Birth, Development, and Health (17 papers), Reproductive System and Pregnancy (16 papers), Neonatal Respiratory Health Research (4 papers), Extracellular vesicles in disease (4 papers), Gestational Diabetes Research and Management (3 papers), Immune Cell Function and Interaction (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Obstetrics and Gynecology (1.4k citations), Pediatrics, Perinatology and Child Health (609 citations), Immunology (604 citations), Cancer Research (132 citations) and Reproductive Medicine (61 citations). Ana Sofia Cerdeira has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include S. Ananth Karumanchi, Manu Vatish, Christopher W.G. Redman, Swati Agrawal, Tammy Hod, Ravi Thadhani, Adelino Leite‐Moreira, Carmen Brás‐Silva, Friedrich Brünner and Augustine Rajakumar. Their work appears in journals such as Hypertension, PLoS ONE, BMC Pregnancy and Childbirth, Pregnancy Hypertension and Acta Obstetricia Et Gynecologica Scandinavica.

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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