Tiago Ferraz

979 total citations
8 papers, 72 citations indexed

About

Tiago Ferraz is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Genetics. According to data from OpenAlex, Tiago Ferraz has authored 8 papers receiving a total of 72 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Obstetrics and Gynecology, 3 papers in Pediatrics, Perinatology and Child Health and 3 papers in Genetics. Recurrent topics in Tiago Ferraz's work include Forensic and Genetic Research (3 papers), Pregnancy and preeclampsia studies (2 papers) and Maternal and fetal healthcare (2 papers). Tiago Ferraz is often cited by papers focused on Forensic and Genetic Research (3 papers), Pregnancy and preeclampsia studies (2 papers) and Maternal and fetal healthcare (2 papers). Tiago Ferraz collaborates with scholars based in Brazil, Portugal and Spain. Tiago Ferraz's co-authors include Tábita Hünemeier, Nuno Montenegro, Marcos Araújo Castro e Silva, David Comas, María Cátira Bortolini, Rita Valente, Teresa Rodrigues, Renan Barbosa Lemes, Kelly Nunes and Alcides Pissinatti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and American Journal of Obstetrics and Gynecology.

In The Last Decade

Tiago Ferraz

8 papers receiving 70 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tiago Ferraz Brazil	5	25	23	14	13	10	8	72
Cristofaro De Stefano Italy	5	13 0.5×	20 0.9×	12 0.9×	39 3.0×	11 1.1×	5	73
Edmund Gilbert Ireland	5	4 0.2×	58 2.5×	5 0.4×	6 0.5×	12 1.2×	9	89
Charlotte Willis United Kingdom	5	6 0.2×	13 0.6×	12 0.9×	19 1.5×	3 0.3×	7	80
Alexandra Baron Israel	5	71 2.8×	10 0.4×	37 2.6×	37 2.8×	6 0.6×	6	97
Brice Poreau France	6	5 0.2×	30 1.3×	12 0.9×	4 0.3×	29 2.9×	19	87
Percy Dunn United Kingdom	4	9 0.4×	19 0.8×	34 2.4×	10 0.8×	26 2.6×	10	59
Eduardo Alfredo Duro Argentina	4	5 0.2×	8 0.3×	6 0.4×	14 1.1×	3 0.3×	14	57
Letícia R. Q. Souza Brazil	6	26 1.0×	3 0.1×	12 0.9×	35 2.7×	33 3.3×	10	114
Elizabeth T. Lau China	5	10 0.4×	24 1.0×	66 4.7×	15 1.2×	5 0.5×	7	76
Marcelo Barrionuevo United States	3	48 1.9×	15 0.7×	24 1.7×	85 6.5×	16 1.6×	6	173

Countries citing papers authored by Tiago Ferraz

Since Specialization

Citations

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

Fields of papers citing papers by Tiago Ferraz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiago Ferraz

This figure shows the co-authorship network connecting the top 25 collaborators of Tiago Ferraz. A scholar is included among the top collaborators of Tiago Ferraz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tiago Ferraz. Tiago Ferraz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Valente, Rita, Joana R. Xavier, Rita Figueiredo, et al.. (2023). Labor induction with a combined method (pharmacologic and mechanical): A randomized controlled trial. Journal of Gynecology Obstetrics and Human Reproduction. 52(9). 102649–102649. 2 indexed citations

Silva, Marcos Araújo Castro e, Tiago Ferraz, & Tábita Hünemeier. (2022). A genomic perspective on South American human history. Genetics and Molecular Biology. 45(3 suppl 1). e20220078–e20220078. 1 indexed citations

Silva, Marcos Araújo Castro e, Tiago Ferraz, Renan Barbosa Lemes, et al.. (2021). Population Histories and Genomic Diversity of South American Natives. Molecular Biology and Evolution. 39(1). 11 indexed citations

Silva, Marcos Araújo Castro e, Tiago Ferraz, María Cátira Bortolini, David Comas, & Tábita Hünemeier. (2021). Deep genetic affinity between coastal Pacific and Amazonian natives evidenced by Australasian ancestry. Proceedings of the National Academy of Sciences. 118(14). 17 indexed citations

Ferraz, Tiago, et al.. (2019). Risks of Maternal Obesity in Pregnancy: A Case-control Study in a Portuguese Obstetrical Population. Revista Brasileira Ginecologia e Obstetrícia. 41(12). 682–687. 17 indexed citations

Ferraz, Tiago, Sérgio Luiz Althoff, Alcides Pissinatti, et al.. (2018). Contrasting patterns of RUNX2 repeat variations are associated with palate shape in phyllostomid bats and New World primates. Scientific Reports. 8(1). 7867–7867. 12 indexed citations

Valente, Rita, et al.. (2018). Effect of obesity on labor duration among nulliparous women with epidural analgesia. The Journal of Maternal-Fetal & Neonatal Medicine. 33(13). 2195–2201. 10 indexed citations

Ferraz, Tiago, Pedro Viana Pinto, Sandra Martins, et al.. (2014). 754: Serum PAPP-A as a predictor of gestational diabetes. American Journal of Obstetrics and Gynecology. 212(1). S366–S367. 2 indexed citations

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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