Fernanda Pacheco

691 citations
10 papers · 428 · h-index 5

Impact in

Papers in

Fernanda Pacheco

10 papers receiving 416 citations

Peers

Fernanda Pacheco
Comparison fields: 5 of 40
  • Reproductive Medicine 304
  • Public Health, Environmental and Occupational Health 384
  • Pediatrics, Perinatology and Child Health 55
  • Oncology 59
  • Molecular Biology 112
Replace Mahmoud Salama with:
Mahmoud Salama United States
Kirsten Tryde Schmidt Denmark
Annette Klüver Jensen Denmark
Rossella Vicenti Italy
L. Bastings Netherlands
Mona Sheikhi Sweden
Marta Svetlikova United States
Meltem Sönmezer Türkiye
Zohar Gavish Israel
Anne-Sophie Van Eyck Belgium
Fernanda Pacheco relative to Mahmoud Salama United States Mahmoud Salama's profile →
Citations per field
00.5×1.5×
Mahmoud Salama · 1×
Citations per year

Countries citing papers authored by Fernanda Pacheco

Since Specialization
Citations

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

Fields of papers citing papers by Fernanda Pacheco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Fernanda Pacheco, 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 Pacheco Line = papers co-authored together Fernanda Pacheco links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2017151
2 2015139
3 2015101
4 202125
5 20094
6 20212
7 20142
8 20162
9 20241
10 20151

About Fernanda Pacheco

Fernanda Pacheco is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Immunology, Surgery and Pediatrics, Perinatology and Child Health, having authored 10 papers that have together received 428 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (8 papers), Ovarian function and disorders (7 papers), Reproductive System and Pregnancy (2 papers), Reproductive Health and Technologies (2 papers), Blind Source Separation Techniques (1 paper), Phonocardiography and Auscultation Techniques (1 paper), Ovarian cancer diagnosis and treatment (1 paper) and Neonatal and fetal brain pathology (1 paper). The work is most often cited by research in Reproductive Medicine (304 citations), Public Health, Environmental and Occupational Health (384 citations), Pediatrics, Perinatology and Child Health (55 citations), Oncology (59 citations) and Molecular Biology (112 citations). Fernanda Pacheco has collaborated with scholars based in United States, Brazil and Türkiye. Frequent co-authors include Kutluk Oktay, Giuliano Bedoschi, Volkan Turan, Fred Moy, Volkan Emirdar, Loris Marin, Heejung Bang, Yodo Sugishita, Enes Taylan and Márcia Lorena Fagundes Chaves. Their work appears in journals such as Fertility and Sterility, Journal of Clinical Oncology, Journal of Perinatal Medicine, Reproductive BioMedicine Online and Reproductive Sciences.

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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