Dinis Pedro Calado
- Cancer Research top 0.5%
- MicroRNA in disease regulation 5
- NF-κB Signaling Pathways 5
- Immunology top 0.5%
- Immune Cell Function and Interaction 14
- T-cell and B-cell Immunology 11
- Immunotherapy and Immune Responses 5
- T-cell and Retrovirus Studies 3
- Molecular Biology top 2%
- Epigenetics and DNA Methylation 4
- Genetics top 2%
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- Lymphoma Diagnosis and Treatment 6
- Co-authors
- Klaus RajewskyChangchun XiaoBaochun ZhangHeide Christine PattersonLakshmi SrinivasanTo‐Ha ThaiNikolaus RajewskyJeffrey L. Kutok
- Journals
- Science (2 papers)Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Dinis Pedro Calado
39 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Cancer Research 2.9k
- Immunology 2.6k
- Molecular Biology 3.6k
- Genetics 435
- Pathology and Forensic Medicine 651
Countries citing papers authored by Dinis Pedro Calado
This map shows the geographic impact of Dinis Pedro Calado'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 Dinis Pedro Calado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dinis Pedro Calado more than expected).
Fields of papers citing papers by Dinis Pedro Calado
This network shows the impact of papers produced by Dinis Pedro Calado. 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 Dinis Pedro Calado. The network helps show where Dinis Pedro Calado may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dinis Pedro Calado, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 5 | |
| 7 | 2021 | 38 | |
| 8 | 2021 | 14 | |
| 9 | 2020 | 25 | |
| 10 | 2019 | 90 | |
| 11 | 2018 | 17 | |
| 12 | 2018 | 18 | |
| 13 | 2018 | 44 | |
| 14 | 2017 | 28 | |
| 15 | 2011 | 84 | |
| 16 | 2010 | 142 | |
| 17 | 2010 | 236 | |
| 18 | 2009 | 323 | |
| 19 | Foxp3-Dependent MicroRNA155 Confers Competitive Fitness to Regulatory T Cells by Targeting SOCS1 Proteinbreakdown → | 2009 | 665 |
| 20 | 2006 | 39 |
About Dinis Pedro Calado
Dinis Pedro Calado is a scholar working on Immunology, Cancer Research and Pathology and Forensic Medicine, having authored 42 papers that have together received 6.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (11 papers), Lymphoma Diagnosis and Treatment (6 papers), MicroRNA in disease regulation (5 papers), Immunotherapy and Immune Responses (5 papers), NF-κB Signaling Pathways (5 papers), Epigenetics and DNA Methylation (4 papers) and T-cell and Retrovirus Studies (3 papers). The work is most often cited by research in Cancer Research (2.9k citations), Immunology (2.6k citations) and Molecular Biology (3.6k citations). Dinis Pedro Calado has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Klaus Rajewsky, Changchun Xiao, Baochun Zhang, Heide Christine Patterson, Lakshmi Srinivasan, To‐Ha Thai, Nikolaus Rajewsky, Jeffrey L. Kutok, Joel Henderson and Jing Wang. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.