Daniel T. Passos

70 total papers · 624 total citations
33 papers, 454 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 454 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), Aquaculture disease management and microbiota (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), Aquaculture disease management and microbiota (4 papers) and Salmonella and Campylobacter epidemiology (4 papers). Daniel T. Passos collaborates with scholars based in Brazil, Canada and United States. Daniel T. Passos's co-authors include Frederick A. Dick, Matthew J. Cecchini, Ian Welch, Christopher J. Howlett, Charles A. Ishak, Mellissa R.W. Mann, William A. MacDonald, Seung J. Kim, Seth M. Rubin and Martin J. McGavin 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 448 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel T. Passos 251 121 79 43 41 33 454
Silvia Vincent‐Naulleau 179 0.7× 99 0.8× 92 1.2× 41 1.0× 49 1.2× 27 535
K Nakano 185 0.7× 82 0.7× 41 0.5× 21 0.5× 58 1.4× 22 480
Nicholas Cassai 205 0.8× 116 1.0× 45 0.6× 61 1.4× 29 0.7× 30 466
Fadi Abdel‐Sater 355 1.4× 59 0.5× 31 0.4× 37 0.9× 70 1.7× 31 530
Hongyan Luo 190 0.8× 39 0.3× 64 0.8× 44 1.0× 66 1.6× 39 522
Alberto Grandi 307 1.2× 42 0.3× 44 0.6× 69 1.6× 45 1.1× 24 546
Dorothée Bourges 101 0.4× 53 0.4× 37 0.5× 88 2.0× 36 0.9× 21 551
Lawrence T. Malek 295 1.2× 109 0.9× 61 0.8× 43 1.0× 91 2.2× 20 546
Xiaofang Zhu 215 0.9× 48 0.4× 62 0.8× 44 1.0× 41 1.0× 21 534
Reinhard Ertl 123 0.5× 35 0.3× 106 1.3× 77 1.8× 41 1.0× 44 444

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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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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2026