Daniel T. Passos
Impact in
-
- Cancer-related Molecular Pathways
Papers in
-
- Ubiquitin and proteasome pathways 3
- Oncology 9
- Cancer-related Molecular Pathways 7
- Co-authors
- Frederick A. Dick (13 shared papers)Matthew J. Cecchini (7 shared papers)Ian Welch (3 shared papers)Christopher J. Howlett (3 shared papers)Aren E. Marshall (2 shared papers)Charles A. Ishak (3 shared papers)Mellissa R.W. Mann (1 shared paper)Seung J. Kim (2 shared papers)
- Journals
- Molecular and Cellular Biology (4 papers)Small Ruminant Research (2 papers)eLife (2 papers)Molecular Microbiology (1 paper)Infection Genetics and Evolution (1 paper)
- Partner nations
- CanadaBrazilUnited States
In The Last Decade
Daniel T. Passos
32 papers receiving 454 citations
Peers
Comparison fields: 5 of 71
- Oncology 123
- Endocrinology 20
- Molecular Biology 258
- Parasitology 24
- Ophthalmology 32
Countries citing papers authored by Daniel T. Passos
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
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-authors
The 25 scholars most cited alongside Daniel T. Passos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 125 | |
| 2 | 2019 | 30 | |
| 3 | 2009 | 30 | |
| 4 | 2016 | 28 | |
| 5 | 2014 | 28 | |
| 6 | 2007 | 24 | |
| 7 | 2014 | 23 | |
| 8 | 2007 | 22 | |
| 9 | 1999 | 19 | |
| 10 | 2016 | 17 | |
| 11 | 2012 | 16 | |
| 12 | 2008 | 11 | |
| 13 | 2009 | 10 | |
| 14 | 2007 | 10 | |
| 15 | 2009 | 10 | |
| 16 | 2008 | 9 | |
| 17 | 2021 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2015 | 6 | |
| 20 | 2024 | 4 |
About Daniel T. Passos
Daniel T. Passos is a scholar working on Molecular Biology, Oncology, Genetics, Cell Biology and Immunology, having authored 33 papers that have together received 460 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), Salmonella and Campylobacter epidemiology (4 papers), Aquaculture disease management and microbiota (4 papers), Ocular Oncology and Treatments (4 papers), Genetic and phenotypic traits in livestock (3 papers), Leptospirosis research and findings (3 papers), Ubiquitin and proteasome pathways (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Oncology (123 citations), Endocrinology (20 citations), Molecular Biology (258 citations), Parasitology (24 citations) and Ophthalmology (32 citations). Daniel T. Passos has collaborated with scholars based in Canada, Brazil and United States. Frequent co-authors include Frederick A. Dick, Matthew J. Cecchini, Ian Welch, Christopher J. Howlett, Aren E. Marshall, Charles A. Ishak, Mellissa R.W. Mann, Seung J. Kim, William A. MacDonald and Seth M. Rubin. Their work appears in journals such as Molecular and Cellular Biology, Small Ruminant Research, eLife, Molecular Microbiology and Infection Genetics and Evolution.
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.