Fernanda Mafra

899 total citations
36 papers, 576 citations indexed

About

Fernanda Mafra is a scholar working on Reproductive Medicine, Immunology and Genetics. According to data from OpenAlex, Fernanda Mafra has authored 36 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Reproductive Medicine, 14 papers in Immunology and 12 papers in Genetics. Recurrent topics in Fernanda Mafra's work include Endometriosis Research and Treatment (18 papers), Reproductive System and Pregnancy (13 papers) and Uterine Myomas and Treatments (6 papers). Fernanda Mafra is often cited by papers focused on Endometriosis Research and Treatment (18 papers), Reproductive System and Pregnancy (13 papers) and Uterine Myomas and Treatments (6 papers). Fernanda Mafra collaborates with scholars based in Brazil, United States and Austria. Fernanda Mafra's co-authors include Denise Maria Christofolini, Caio Parente Barbosa, Bianca Bianco, Fabia Lima Vilariño, Carla Peluso, Ângela Mara Bentes de Souza, Michael V. Gonzalez, Håkon Håkonarson, Marcello Gava and Geraldo Rodrigues de Lima and has published in prestigious journals such as Nature Communications, Cancer Research and Fertility and Sterility.

In The Last Decade

Fernanda Mafra

35 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernanda Mafra Brazil 15 364 238 171 142 100 36 576
Shaun Fountain United Kingdom 9 238 0.7× 133 0.6× 211 1.2× 61 0.4× 259 2.6× 14 575
Hsin‐Yang Li Taiwan 12 367 1.0× 183 0.8× 255 1.5× 66 0.5× 72 0.7× 19 526
Masahiro Tanikawa Japan 13 741 2.0× 533 2.2× 490 2.9× 88 0.6× 145 1.4× 27 948
Imari Deura Japan 14 258 0.7× 140 0.6× 193 1.1× 48 0.3× 48 0.5× 25 467
Carla de Azevedo Piccinato Brazil 12 249 0.7× 189 0.8× 162 0.9× 70 0.5× 68 0.7× 35 478
Jennifer L. Herington United States 17 410 1.1× 393 1.7× 299 1.7× 58 0.4× 78 0.8× 32 744
Akitoshi Yuge Japan 15 363 1.0× 272 1.1× 259 1.5× 70 0.5× 72 0.7× 30 589
Wissam Dahoud United States 6 251 0.7× 188 0.8× 212 1.2× 71 0.5× 42 0.4× 14 418
P. Wieacker Germany 12 72 0.2× 54 0.2× 55 0.3× 177 1.2× 198 2.0× 43 455
Hisato Koshiba Japan 19 909 2.5× 491 2.1× 658 3.8× 239 1.7× 83 0.8× 27 1.2k

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-authorship network of co-authors of Fernanda Mafra

This figure shows the co-authorship network connecting the top 25 collaborators of Fernanda Mafra. A scholar is included among the top collaborators of Fernanda Mafra 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 Fernanda Mafra. Fernanda Mafra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dang, Mai T., Fernanda Mafra, & Malay Haldar. (2021). Isolation of myeloid cells from mouse brain tumors for single-cell RNA-seq analysis. STAR Protocols. 2(4). 100957–100957. 2 indexed citations
2.
Wright, Christina M., Sabine Schneider, Kristen Smith, et al.. (2021). scRNA-Seq Reveals New Enteric Nervous System Roles for GDNF, NRTN, and TBX3. Cellular and Molecular Gastroenterology and Hepatology. 11(5). 1548–1592.e1. 65 indexed citations
3.
Christofolini, Denise Maria, et al.. (2021). Genetic analysis of products of conception. Should we abandon classic karyotyping methodology?. Einstein (São Paulo). 19. eAO5945–eAO5945. 3 indexed citations
4.
Trevisan, Camila Martins, Michel Satya Naslavsky, Frederico Monfardini, et al.. (2020). Variants in the Kisspeptin-GnRH Pathway Modulate the Hormonal Profile and Reproductive Outcomes. DNA and Cell Biology. 39(6). 1012–1022. 3 indexed citations
5.
Leung, Marco L., Deborah Watson, Fernanda Mafra, et al.. (2020). Evaluating sequence data quality from the Swift Accel-Amplicon CFTR Panel. Scientific Data. 7(1). 8–8. 3 indexed citations
6.
Li, Fang, Charlly Kao, Michael V. Gonzalez, et al.. (2019). LinkedSV for detection of mosaic structural variants from linked-read exome and genome sequencing data. Nature Communications. 10(1). 5585–5585. 27 indexed citations
8.
Mafra, Fernanda, Diego R. Mazzotti, Renata Pellegrino, et al.. (2016). Copy number variation analysis reveals additional variants contributing to endometriosis development. Journal of Assisted Reproduction and Genetics. 34(1). 117–124. 8 indexed citations
9.
Mafra, Fernanda, et al.. (2015). Association of WNT4 polymorphisms with endometriosis in infertile patients. Journal of Assisted Reproduction and Genetics. 32(9). 1359–1364. 33 indexed citations
10.
Christofolini, Denise Maria, Flávia Piazzon, Fernanda Mafra, et al.. (2014). Complex small supernumerary marker chromosome with a 15q/16p duplication: clinical implications. Molecular Cytogenetics. 7(1). 29–29. 3 indexed citations
11.
Amaro, Aline C.S., Fernanda Mafra, Leslie Domenici Kulikowski, et al.. (2014). 45,X Karyotype in an Infertile Man: How Is This Possible?. Urologia Internationalis. 94(4). 488–490. 3 indexed citations
12.
Barbosa, Caio Parente, Denise Maria Christofolini, Carla Peluso, et al.. (2013). There is no relationship between Paraoxonase serum level activity in women with endometriosis and the stage of the disease: an observational study. Reproductive Health. 10(1). 32–32. 10 indexed citations
13.
Barbosa, Caio Parente, Carla Peluso, Fernanda Mafra, et al.. (2012). Genetic association study of polymorphisms FOXP3 and FCRL3 in women with endometriosis. Fertility and Sterility. 97(5). 1124–1128. 19 indexed citations
14.
Peluso, Carla, et al.. (2012). TYK2 rs34536443 polymorphism is associated with a decreased susceptibility to endometriosis-related infertility. Human Immunology. 74(1). 93–97. 22 indexed citations
15.
Christofolini, Denise Maria, et al.. (2012). Prevalence of cases ofMycoplasma hominis,Mycoplasma genitalium,Ureaplasma urealyticumandChlamydia trachomatisin women with no gynecologic complaints. Reproductive Medicine and Biology. 11(4). 201–205. 17 indexed citations
16.
Christofolini, Denise Maria, et al.. (2011). Combination of polymorphisms in luteinizing hormone β, estrogen receptor β and progesterone receptor and susceptibility to infertility and endometriosis. European Journal of Obstetrics & Gynecology and Reproductive Biology. 158(2). 260–264. 16 indexed citations
17.
Bianco, Bianca, Fabia Lima Vilariño, Carla Peluso, et al.. (2011). The possible role of genetic variants in autoimmune-related genes in the development of endometriosis. Human Immunology. 73(3). 306–315. 59 indexed citations
20.
Bianco, Bianca, et al.. (2009). +1730 G/A polymorphism of the estrogen receptor β gene (ERβ) may be an important genetic factor predisposing to endometriosis. Acta Obstetricia Et Gynecologica Scandinavica. 88(12). 1397–1401. 21 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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