Fábio C. P. Navarro

34.7k total citations
30 papers, 582 citations indexed

About

Fábio C. P. Navarro is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Fábio C. P. Navarro has authored 30 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Fábio C. P. Navarro's work include Cancer Genomics and Diagnostics (13 papers), RNA and protein synthesis mechanisms (5 papers) and Genomics and Rare Diseases (3 papers). Fábio C. P. Navarro is often cited by papers focused on Cancer Genomics and Diagnostics (13 papers), RNA and protein synthesis mechanisms (5 papers) and Genomics and Rare Diseases (3 papers). Fábio C. P. Navarro collaborates with scholars based in United States, Brazil and Canada. Fábio C. P. Navarro's co-authors include Pedro A. F. Galante, Mark Gerstein, Anamaria A. Camargo, Raphael B. Parmigiani, Sandro J. de Souza, Daniel R. Schrider, Matthew W. Hahn, Timur R. Galeev, Eric Mick and Alex Holman and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Fábio C. P. Navarro

25 papers receiving 572 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fábio C. P. Navarro United States 12 403 192 114 99 63 30 582
Yung Lyou United States 12 679 1.7× 121 0.6× 68 0.6× 94 0.9× 143 2.3× 37 930
Mahmoud M. Ibrahim Germany 11 646 1.6× 133 0.7× 35 0.3× 68 0.7× 90 1.4× 13 864
Louis Saddic United States 13 559 1.4× 117 0.6× 122 1.1× 64 0.6× 96 1.5× 24 745
Keren Zhou China 14 759 1.9× 413 2.2× 80 0.7× 25 0.3× 41 0.7× 19 916
Alexandre Fort Switzerland 10 405 1.0× 202 1.1× 57 0.5× 175 1.8× 15 0.2× 15 619
Alayne Brunner United States 10 573 1.4× 359 1.9× 31 0.3× 99 1.0× 92 1.5× 16 828
Andrew J. Fritz United States 17 704 1.7× 203 1.1× 89 0.8× 91 0.9× 145 2.3× 38 868
Sheryl Gere United States 5 466 1.2× 92 0.5× 39 0.3× 206 2.1× 78 1.2× 5 605
Alex Appert United Kingdom 12 444 1.1× 165 0.9× 69 0.6× 52 0.5× 111 1.8× 17 689
Mariann Micsinai United States 14 564 1.4× 185 1.0× 37 0.3× 106 1.1× 97 1.5× 17 752

Countries citing papers authored by Fábio C. P. Navarro

Since Specialization
Citations

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

Fields of papers citing papers by Fábio C. P. Navarro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fábio C. P. Navarro. 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 Fábio C. P. Navarro. The network helps show where Fábio C. P. Navarro may publish in the future.

Co-authorship network of co-authors of Fábio C. P. Navarro

This figure shows the co-authorship network connecting the top 25 collaborators of Fábio C. P. Navarro. A scholar is included among the top collaborators of Fábio C. P. Navarro 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 Fábio C. P. Navarro. Fábio C. P. Navarro 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.
García-Murillas, Isaac, Charles W. Abbott, Rosalind Cutts, et al.. (2025). Whole genome sequencing-powered ctDNA sequencing for breast cancer detection. Annals of Oncology. 36(6). 673–681. 10 indexed citations
2.
Titmuss, Emma, Fábio C. P. Navarro, Charles W. Abbott, et al.. (2025). Identifying the optimal post-surgical timing of molecular residual disease (MRD) detection in colorectal cancer (CRC) using an ultra-sensitive assay: Interim results from the VICTORI study.. Journal of Clinical Oncology. 43(4_suppl). 275–275.
3.
4.
Titmuss, Emma, Fábio C. P. Navarro, Charles W. Abbott, et al.. (2024). Circulating tumor DNA (ctDNA) kinetics in colorectal cancer (CRC) treated with curative intent in the VICTORI study with an ultrasensitive MRD assay.. Journal of Clinical Oncology. 42(16_suppl). e15625–e15625.
5.
Nixon, Andrew B., Fábio C. P. Navarro, Katherine I. Zhou, et al.. (2024). Ultra-sensitive ctDNA dynamics to capture therapy response in pembrolizumab-treated gastroesophageal cancer.. Journal of Clinical Oncology. 42(16_suppl). 4025–4025. 1 indexed citations
6.
Koenig, Michael J., Jacob M. Kaufman, Walter Wang, et al.. (2021). STK11/LKB1 Loss of Function Is Associated with Global DNA Hypomethylation and S -Adenosyl-Methionine Depletion in Human Lung Adenocarcinoma. Cancer Research. 81(16). 4194–4204. 10 indexed citations
7.
Abbott, Charles W., Sean M. Boyle, Rachel Marty Pyke, et al.. (2021). Prediction of Immunotherapy Response in Melanoma through Combined Modeling of Neoantigen Burden and Immune-Related Resistance Mechanisms. Clinical Cancer Research. 27(15). 4265–4276. 35 indexed citations
8.
Gürsoy, Gamze, et al.. (2020). FANCY: fast estimation of privacy risk in functional genomics data. Bioinformatics. 36(21). 5145–5150. 4 indexed citations
9.
Xu, Jinrui, Michelle Kudron, Alec Victorsen, et al.. (2020). To mock or not: a comprehensive comparison of mock IP and DNA input for ChIP-seq. Nucleic Acids Research. 49(3). e17–e17. 11 indexed citations
10.
Meyerson, Matthew, et al.. (2020). Origins and characterization of variants shared between databases of somatic and germline human mutations. BMC Bioinformatics. 21(1). 227–227. 10 indexed citations
11.
Navarro, Fábio C. P., Rosana Delcelo, Magnus R. Dias‐da‐Silva, et al.. (2019). Retroposed copies of RET gene: a somatically acquired event in medullary thyroid carcinoma. BMC Medical Genomics. 12(1). 104–104. 9 indexed citations
12.
Navarro, Fábio C. P., Eliza Cerveira, Qihui Zhu, et al.. (2019). TeXP: Deconvolving the effects of pervasive and autonomous transcription of transposable elements. PLoS Computational Biology. 15(8). e1007293–e1007293. 23 indexed citations
13.
Lee, Wan‐Ping, Joseph F. Leone, Qihui Zhu, et al.. (2018). FusorSV: an algorithm for optimally combining data from multiple structural variation detection methods. Genome biology. 19(1). 38–38. 38 indexed citations
14.
Freedman, Jane E., Mark Gerstein, Eric Mick, et al.. (2016). Diverse human extracellular RNAs are widely detected in human plasma. Nature Communications. 7(1). 11106–11106. 166 indexed citations
15.
Donnard, Elisa, Paola A. Carpinetti, Fábio C. P. Navarro, et al.. (2015). ICRmax: An optimized approach to detect tumor-specific interchromosomal rearrangements for clinical application. Genomics. 105(5-6). 265–272. 4 indexed citations
16.
Navarro, Fábio C. P. & Pedro A. F. Galante. (2015). A Genome-Wide Landscape of Retrocopies in Primate Genomes. Genome Biology and Evolution. 7(8). 2265–2275. 33 indexed citations
17.
Schrider, Daniel R., Fábio C. P. Navarro, Pedro A. F. Galante, et al.. (2013). Gene Copy-Number Polymorphism Caused by Retrotransposition in Humans. PLoS Genetics. 9(1). e1003242–e1003242. 67 indexed citations
18.
Galante, Pedro A. F., et al.. (2012). SPLOOCE. RNA Biology. 9(11). 1339–1343. 7 indexed citations
19.
Nunes, Thiago Franchi, et al.. (2005). Von Recklinghausen's disease with urogenital manifestation. International braz j urol. 31(2). 153–154. 6 indexed citations
20.
Navarro, Fábio C. P., et al.. (2004). Primary renal sarcoma with morphologic and immunohistochemical aspects compatible with synovial sarcoma. International braz j urol. 30(3). 210–213. 29 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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