Fernanda Mafra

35 papers receiving 564 citations

Peers

Fernanda Mafra
Comparison fields: 5 of 64
  • Reproductive Medicine 315
  • Obstetrics and Gynecology 111
  • Immunology 169
  • Gastroenterology 31
  • Genetics 102
Replace Wissam Dahoud with:
Wissam Dahoud United States
Imari Deura Japan
Kathleen Groesch United States
Carla de Azevedo Piccinato Brazil
Eun Hee Ahn South Korea
Daniela Galliano Spain
Jan S. Kruessel United States
Rebeca Caze United States
Bufang Xu China
Liyi Cai Japan
Fernanda Mafra relative to Wissam Dahoud United States Wissam Dahoud's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fernanda Mafra

Since Specialization
Citations

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

Fields of papers citing papers by Fernanda Mafra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202166
2 201159
3 201141
4 200934
5 201534
6 201030
7 201928
8 201126
9 201223
10 200921
11 201021
12 201219
13 201217
14 201115
15 201315
16 201815
17 201514
18 201013
19 201011
20 201310

About Fernanda Mafra

Fernanda Mafra is a scholar working on Reproductive Medicine, Molecular Biology, Immunology, Genetics and Plant Science, having authored 36 papers that have together received 581 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (14 papers), Reproductive System and Pregnancy (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Chromosomal and Genetic Variations (3 papers), Genomics and Phylogenetic Studies (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Uterine Myomas and Treatments (2 papers) and Cystic Fibrosis Research Advances (2 papers). The work is most often cited by research in Reproductive Medicine (315 citations), Obstetrics and Gynecology (111 citations), Immunology (169 citations), Gastroenterology (31 citations) and Genetics (102 citations). Fernanda Mafra has collaborated with scholars based in Brazil, United States and Austria. Frequent co-authors include Denise Maria Christofolini, Bianca Bianco, Caio Parente Barbosa, Fabia Lima Vilariño, Carla Peluso, Ângela Mara Bentes de Souza, Michael V. Gonzalez, Marcello Gava, Geraldo Rodrigues de Lima and Håkon Håkonarson. Their work appears in journals such as Journal of Assisted Reproduction and Genetics, Human Immunology, Archives of Gynecology and Obstetrics, European Journal of Obstetrics & Gynecology and Reproductive Biology and Fertility and Sterility.

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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