Guilherme Debortoli

438 total citations
15 papers, 94 citations indexed

About

Guilherme Debortoli is a scholar working on Immunology, Genetics and Epidemiology. According to data from OpenAlex, Guilherme Debortoli has authored 15 papers receiving a total of 94 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Genetics and 4 papers in Epidemiology. Recurrent topics in Guilherme Debortoli's work include Reproductive System and Pregnancy (5 papers), melanin and skin pigmentation (3 papers) and Forensic and Genetic Research (3 papers). Guilherme Debortoli is often cited by papers focused on Reproductive System and Pregnancy (5 papers), melanin and skin pigmentation (3 papers) and Forensic and Genetic Research (3 papers). Guilherme Debortoli collaborates with scholars based in Brazil, Canada and United States. Guilherme Debortoli's co-authors include Esteban J. Parra, Celso Teixeira Mendes‐Junior, Erick C. Castelli, Eduardo Antônio Donadi, Heather Norton, Guilherme Suarez‐Kurtz, Cesar Fortes‐Lima, Aguinaldo Luíz Simões, Stephen W. Scherer and Francisco C. Ceballos and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Guilherme Debortoli

14 papers receiving 94 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guilherme Debortoli Brazil 7 34 25 24 16 13 15 94
Kruthika Iyer United States 5 12 0.4× 10 0.4× 34 1.4× 7 0.4× 16 1.2× 11 84
Qiuling Yue China 10 26 0.8× 25 1.0× 71 3.0× 5 0.3× 15 1.2× 21 154
Hafiz Ullah China 4 15 0.4× 26 1.0× 43 1.8× 3 0.2× 33 2.5× 10 107
François Téoulé France 4 12 0.4× 14 0.6× 58 2.4× 19 1.2× 22 1.7× 4 119
Maryam Al‐Nesf Qatar 7 8 0.2× 32 1.3× 21 0.9× 11 0.7× 10 0.8× 43 144
Heidi Schaballie Belgium 8 25 0.7× 73 2.9× 13 0.5× 5 0.3× 52 4.0× 16 134
Naïma El Hafidi Morocco 5 10 0.3× 17 0.7× 18 0.8× 4 0.3× 15 1.2× 20 83
Qiangqiang Han China 7 16 0.5× 21 0.8× 48 2.0× 3 0.2× 10 0.8× 7 113
Kelly M. Schiabor Barrett United States 7 27 0.8× 16 0.6× 46 1.9× 6 0.4× 5 0.4× 14 126
Anne Luzius Germany 3 26 0.8× 25 1.0× 114 4.8× 6 0.4× 5 0.4× 5 154

Countries citing papers authored by Guilherme Debortoli

Since Specialization
Citations

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

Fields of papers citing papers by Guilherme Debortoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guilherme Debortoli

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

All Works

15 of 15 papers shown
1.
Kendall, Christopher, Jacqueline A. Robinson, Guilherme Debortoli, et al.. (2024). Global and local ancestry estimation in a captive baboon colony. PLoS ONE. 19(7). e0305157–e0305157.
2.
Debortoli, Guilherme, Fabrício C. Dias, Jéssica Nayara Góes de Araújo, et al.. (2023). HLA-G Gene Variability Is Associated with Papillary Thyroid Carcinoma Morbidity and the HLA-G Protein Profile. International Journal of Molecular Sciences. 24(16). 12858–12858. 1 indexed citations
3.
Scliar, Marília O., Guilherme Debortoli, Bhooma Thiruvahindrapuram, et al.. (2023). Characterization of pharmacogenomic variants in a Brazilian admixed cohort of elderly individuals based on whole-genome sequencing data. Frontiers in Pharmacology. 14. 1178715–1178715. 6 indexed citations
4.
Massaro, Juliana Doblas, Guilherme Debortoli, Jéssica Nayara Góes de Araújo, et al.. (2023). BRAF, TERT and HLA-G Status in the Papillary Thyroid Carcinoma: A Clinicopathological Association Study. International Journal of Molecular Sciences. 24(15). 12459–12459. 6 indexed citations
5.
Araújo, Roberta Chaves, Fabrício C. Dias, Guilherme Debortoli, et al.. (2021). HLA-E gene polymorphisms in chronic hepatitis C: Impact on HLA-E liver expression and disease severity. Human Immunology. 82(3). 177–185. 5 indexed citations
6.
Debortoli, Guilherme, Gilderlânio Santana de Araújo, Cesar Fortes‐Lima, Esteban J. Parra, & Guilherme Suarez‐Kurtz. (2021). Identification of ancestry proportions in admixed groups across the Americas using clinical pharmacogenomic SNP panels. Scientific Reports. 11(1). 1007–1007. 6 indexed citations
7.
Debortoli, Guilherme, Tábita Hünemeier, Heather Norton, et al.. (2020). Insights on hair, skin and eye color of ancient and contemporary Native Americans. Forensic Science International Genetics. 48. 102335–102335. 8 indexed citations
8.
Debortoli, Guilherme, et al.. (2020). Novel insights on demographic history of tribal and caste groups from West Maharashtra (India) using genome-wide data. Scientific Reports. 10(1). 10075–10075. 8 indexed citations
9.
Dias, Fabrício C., Guilherme Debortoli, Roberta Chaves Araújo, et al.. (2020). HLA-G liver expression and HLA-G extended haplotypes are associated with chronic hepatitis C in HIV-negative and HIV-coinfected patients. Clinical Immunology. 217. 108482–108482. 5 indexed citations
10.
Veiga‐Castelli, Luciana C., Guilherme Debortoli, Andréia S. Souza, et al.. (2019). HLA-G Polymorphisms Are Associated with Non-Segmental Vitiligo among Brazilians. Biomolecules. 9(9). 463–463. 5 indexed citations
11.
Debortoli, Guilherme, Eduardo Antônio Donadi, Heather Norton, et al.. (2019). Applicability of the SNPforID 52-plex panel for human identification and ancestry evaluation in a Brazilian population sample by next-generation sequencing. Forensic Science International Genetics. 40. 201–209. 8 indexed citations
12.
Debortoli, Guilherme, Gil Valdo José da Silva, Eduardo Antônio Donadi, et al.. (2019). Evaluation of the HIrisPlex-S system in a Brazilian population sample. Forensic science international. Genetics supplement series. 7(1). 794–796. 10 indexed citations
13.
Veiga‐Castelli, Luciana C., Guilherme Debortoli, Andréia S. Souza, et al.. (2018). Extended HLA-G genetic diversity and ancestry composition in a Brazilian admixed population sample: Implications for HLA-G transcriptional control and for case-control association studies. Human Immunology. 79(11). 790–799. 9 indexed citations
14.
Mastroeni, Silmara Salete de Barros Silva, Marco Fábio Mastroeni, Guilherme Debortoli, et al.. (2016). Cardiometabolic risk markers of normal weight and excess body weight in Brazilian adolescents. Applied Physiology Nutrition and Metabolism. 41(6). 659–665. 10 indexed citations
15.
Moreira, Simone da Nóbrega Tomáz, et al.. (2015). IL28B gene polymorphisms in mono- and HIV-coinfected chronic hepatitis C patients. Frontiers in Microbiology. 6. 153–153. 7 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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