Daniel T. Passos

629 total citations
33 papers, 460 citations indexed

About

Daniel T. Passos is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Daniel T. Passos has authored 33 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Oncology and 7 papers in Genetics. Recurrent topics in Daniel T. Passos's work include Cancer-related Molecular Pathways (7 papers), Ocular Oncology and Treatments (4 papers) and Salmonella and Campylobacter epidemiology (4 papers). Daniel T. Passos is often cited by papers focused on Cancer-related Molecular Pathways (7 papers), Ocular Oncology and Treatments (4 papers) and Salmonella and Campylobacter epidemiology (4 papers). Daniel T. Passos collaborates with scholars based in Canada, Brazil and United States. Daniel T. Passos's co-authors include Frederick A. Dick, Matthew J. Cecchini, Ian Welch, Christopher J. Howlett, Aren E. Marshall, Charles A. Ishak, William A. MacDonald, Seung J. Kim, Mellissa R.W. Mann and Seth M. Rubin and has published in prestigious journals such as Journal of Clinical Investigation, Molecular Cell and PLoS ONE.

In The Last Decade

Daniel T. Passos

32 papers receiving 454 citations

Peers

Daniel T. Passos

ONCOL

GENET

EPIDE

Matthew R. Digby Australia

Lina Guerra Sweden

Elizabeth S. Kuczek Australia

Yok Teng Chionh Australia

Nihal A. Okan United States

Don‐Marc Franchini France

Serafina Massari Italy

Dorothée Bourges Australia

Emma Werner United Kingdom

Isabel Rodríguez‐Escudero Spain

Matthew R. Digby Australia

Daniel T. Passos

262 ×1.0

49 ×0.4

ONCOL

123 ×1.6

GENET

91 ×2.1

EPIDE

58 ×1.4

Citations per year, relative to Daniel T. Passos Daniel T. Passos (= 1×) peers Matthew R. Digby

Countries citing papers authored by Daniel T. Passos

Since Specialization

Citations

This map shows the geographic impact of Daniel T. Passos'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 Daniel T. Passos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Passos more than expected).

Fields of papers citing papers by Daniel T. Passos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel T. Passos. 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 Daniel T. Passos. The network helps show where Daniel T. Passos may publish in the future.

Co-authorship network of co-authors of Daniel T. Passos

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

All Works

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20 of 20 papers shown

MacDonald, James I., Daniel T. Passos, Robert Rottapel, et al.. (2024). Netrin signaling mediates survival of dormant epithelial ovarian cancer cells. eLife. 12. 4 indexed citations

MacDonald, James I., Daniel T. Passos, Robert Rottapel, et al.. (2023). Netrin signaling mediates survival of dormant epithelial ovarian cancer cells. eLife. 12. 2 indexed citations

Passos, Daniel T., Joseph Torchia, Patti Kiser, et al.. (2021). Disrupting the DREAM transcriptional repressor complex induces apolipoprotein overexpression and systemic amyloidosis in mice. Journal of Clinical Investigation. 131(4). 7 indexed citations

Marshall, Aren E., Daniel T. Passos, Andrea C. Chaikovsky, et al.. (2019). RB1 Deletion in Retinoblastoma Protein Pathway-Disrupted Cells Results in DNA Damage and Cancer Progression. Molecular and Cellular Biology. 39(16). 30 indexed citations

Cecchini, Matthew J., et al.. (2019). Context dependent roles for RB-E2F transcriptional regulation in tumor suppression. PLoS ONE. 14(1). e0203577–e0203577. 2 indexed citations

Cecchini, Matthew J., et al.. (2017). Multiple molecular interactions redundantly contribute to RB-mediated cell cycle control. Cell Division. 12(1). 3–3. 2 indexed citations

Gräf, Tiago, Nilo Ikuta, Daniel T. Passos, et al.. (2016). Phylogenetic analysis of canine distemper virus in South America clade 1 reveals unique molecular signatures of the local epidemic. Infection Genetics and Evolution. 41. 135–141. 28 indexed citations

Ishak, Charles A., Aren E. Marshall, Daniel T. Passos, et al.. (2016). An RB-EZH2 Complex Mediates Silencing of Repetitive DNA Sequences. Molecular Cell. 64(6). 1074–1087. 125 indexed citations

Cecchini, Matthew J., Charles A. Ishak, Daniel T. Passos, et al.. (2015). Loss of the retinoblastoma tumor suppressor correlates with improved outcome in patients with lung adenocarcinoma treated with surgery and chemotherapy. Human Pathology. 46(12). 1922–1934. 6 indexed citations

10.

Cecchini, Matthew J., Srikanth Talluri, James I. MacDonald, et al.. (2014). A Retinoblastoma Allele That Is Mutated at Its Common E2F Interaction Site Inhibits Cell Proliferation in Gene-Targeted Mice. Molecular and Cellular Biology. 34(11). 2029–2045. 28 indexed citations

11.

Gonçalves, Gislene L., et al.. (2012). Identification of the e allele at the Extension locus (MC1R) in Brazilian Creole sheep and its role in wool color variation. Genetics and Molecular Research. 11(3). 2997–3006. 16 indexed citations

12.

Passos, Daniel T., et al.. (2011). Polimorfismos de los codones 136 y 171 del gen PrP en una majada de ovino Criollo del Uruguay. Archivos de Zootecnia. 60(231). 817–820. 1 indexed citations

13.

Gonçalves, Gislene L., et al.. (2009). Mitochondrial and nuclear DNA analyses reveal population differentiation in Brazilian Creole sheep. Animal Genetics. 41(3). 308–310. 10 indexed citations

14.

Nickerson, Nicholas N., et al.. (2009). Comparison of Staphopain A (ScpA) and B (SspB) precursor activation mechanisms reveals unique secretion kinetics of proSspB (Staphopain B), and a different interaction with its cognate Staphostatin, SspC. Molecular Microbiology. 75(1). 161–177. 30 indexed citations

15.

Klamt, Fábio, Daniel T. Passos, Mauro A. A. Castro, et al.. (2008). Inhibition of MDR1 expression by retinol treatment increases sensitivity to etoposide (VP16) in human neoplasic cell line. Toxicology in Vitro. 22(4). 873–878. 11 indexed citations

16.

Loiko, Márcia Regina, et al.. (2007). Identificação da microbiota da orofaringe e cloaca em filhotes de arara-azul-grande (Anodorhynchus hyacinthinus) de vida livre do Pantanal-MS. 1 indexed citations

17.

Passos, Daniel T., et al.. (2007). Polymorphisms of Two Indels at the PRNP Gene in Three Beef Cattle Herds. Biochemical Genetics. 46(1-2). 1–7. 22 indexed citations

18.

Passos, Daniel T., et al.. (2007). Effect of polymorphisms linked to LEP gene on its expression on adipose tissues in beef cattle. Journal of Animal Breeding and Genetics. 124(3). 157–162. 4 indexed citations

19.

Lunge, Vagner Ricardo, et al.. (2002). COMPARAÇÃO DOS TESTES DE IMUNOFLUORESCÊNCIA INDIRETA (RIFI) E REAÇÃO EM CADEIA DA POLIMERASE ANINHADA (NESTED-PCR) NO DIAGNÓSTICO DA INFECÇÃO DE EQÜINOS POR Babesia equi. 1 indexed citations

20.

Passos, Daniel T., et al.. (1999). Detection of genomic variability in different populations of the cattle tick Boophilus microplus in southern Brazil. Veterinary Parasitology. 87(1). 83–92. 19 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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