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Page 1
Discovering temporal scientometric knowledge in COVID-19 scholarly production.
Scientometrics. 2022;127(3):1609-1642. doi: 10.1007/s11192-021-04260-y. Epub 2022 Jan 16.
Scientometrics. 2022.
PMID: 35068619
Free PMC article.
COVID-19: A scholarly production dataset report for research analysis.
Santos BS, Silva I, Ribeiro-Dantas MDC, Alves G, Endo PT, Lima L.
Santos BS, et al. Among authors: ribeiro dantas mdc.
Data Brief. 2020 Oct;32:106178. doi: 10.1016/j.dib.2020.106178. Epub 2020 Aug 19.
Data Brief. 2020.
PMID: 32837978
Free PMC article.
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Reverse Engineering of Ewing Sarcoma Regulatory Network Uncovers PAX7 and RUNX3 as Master Regulators Associated with Good Prognosis.
Ribeiro-Dantas MDC, Oliveira Imparato D, Dalmolin MGS, de Farias CB, Brunetto AT, da Cunha Jaeger M, Roesler R, Sinigaglia M, Siqueira Dalmolin RJ.
Ribeiro-Dantas MDC, et al.
Cancers (Basel). 2021 Apr 13;13(8):1860. doi: 10.3390/cancers13081860.
Cancers (Basel). 2021.
PMID: 33924679
Free PMC article.
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Dataset for country profile and mobility analysis in the assessment of COVID-19 pandemic.
Ribeiro-Dantas MDC, Alves G, Gomes RB, Bezerra LCT, Lima L, Silva I.
Ribeiro-Dantas MDC, et al.
Data Brief. 2020 May 13;31:105698. doi: 10.1016/j.dib.2020.105698. eCollection 2020 Aug.
Data Brief. 2020.
PMID: 32405515
Free PMC article.
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Learning interpretable causal networks from very large datasets, application to 400,000 medical records of breast cancer patients.
Ribeiro-Dantas MDC, Li H, Cabeli V, Dupuis L, Simon F, Hettal L, Hamy AS, Isambert H.
Ribeiro-Dantas MDC, et al.
iScience. 2024 Apr 16;27(5):109736. doi: 10.1016/j.isci.2024.109736. eCollection 2024 May 17.
iScience. 2024.
PMID: 38711452
Free PMC article.
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