Fernanda I. Staquicini
- Molecular Biology
- Oncology
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Ecology top 10%
- Co-authors
- Renata PasqualiniWadih ArapRichard L. SidmanEvan Y. SnyderMichael G. OzawaGlauco R. SouzaDawn R. ChristiansonJ. Houston Miller
- Topics
- Monoclonal and Polyclonal Antibodies Research (8 papers)Advanced Biosensing Techniques and Applications (5 papers)Glycosylation and Glycoproteins Research (4 papers)
- Partner nations
- United StatesBrazilSpain
In The Last Decade
Fernanda I. Staquicini
21 papers receiving 781 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 465
- Oncology 177
- Radiology, Nuclear Medicine and Imaging 177
- Biomedical Engineering 132
- Ecology 126
Countries citing papers authored by Fernanda I. Staquicini
This map shows the geographic impact of Fernanda I. Staquicini'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 I. Staquicini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernanda I. Staquicini more than expected).
Fields of papers citing papers by Fernanda I. Staquicini
This network shows the impact of papers produced by Fernanda I. Staquicini. 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 I. Staquicini. The network helps show where Fernanda I. Staquicini may publish in the future.
Co-authorship network of co-authors of Fernanda I. Staquicini
This figure shows the co-authorship network connecting the top 25 collaborators of Fernanda I. Staquicini. A scholar is included among the top collaborators of Fernanda I. Staquicini 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 I. Staquicini. Fernanda I. Staquicini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 25 | |
| 4 | 5 | |
| 5 | 12 | |
| 6 | 17 | |
| 7 | 39 | |
| 8 | 19 | |
| 9 | 1 | |
| 10 | 36 | |
| 11 | 109 | |
| 12 | 14 | |
| 13 | 6 | |
| 14 | 84 | |
| 15 | 16 | |
| 16 | 59 | |
| 17 | 1 | |
| 18 | 59 | |
| 19 | 63 | |
| 20 | 14 |
About Fernanda I. Staquicini
Fernanda I. Staquicini is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Oncology, having authored 21 papers that have together received 795 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Advanced Biosensing Techniques and Applications (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Biomaterials (101 citations), Radiology, Nuclear Medicine and Imaging (177 citations) and Developmental Neuroscience (28 citations). Fernanda I. Staquicini has collaborated with scholars based in United States, Brazil and Spain. Frequent co-authors include Renata Pasqualini, Wadih Arap, Richard L. Sidman, Evan Y. Snyder, Michael G. Ozawa, Glauco R. Souza, Dawn R. Christianson, J. Houston Miller, Mikhail G. Kolonin and Roberto Rangel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Cancer Research.
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.