Peter Dias
Impact in
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- Immune Cell Function and Interaction
- Immune Response and Inflammation
- interferon and immune responses
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- MicroRNA in disease regulation
Papers in
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- Respiratory viral infections research 5
- Influenza Virus Research Studies 5
- Cytomegalovirus and herpesvirus research 4
- Herpesvirus Infections and Treatments 3
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- Immune Cell Function and Interaction 6
- Immune Response and Inflammation 2
- Co-authors
- Sally R. Sarawar (10 shared papers)Mark D. Wareing (3 shared papers)Yang Dai (3 shared papers)Huiming Sheng (2 shared papers)Chandra Inglis (2 shared papers)Wen Li (1 shared paper)Emma E. Hamilton‐Williams (1 shared paper)Francesca Giannoni (4 shared papers)
- Journals
- Journal of Virology (4 papers)Vaccine (2 papers)Developmental Neuroscience (1 paper)Vaccines (1 paper)American Journal Of Pathology (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Peter Dias
16 papers receiving 383 citations
Peers
Comparison fields: 5 of 66
- Immunology 149
- Cancer Research 63
- Epidemiology 130
- Infectious Diseases 39
- Molecular Biology 128
Countries citing papers authored by Peter Dias
This map shows the geographic impact of Peter Dias'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 Peter Dias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Dias more than expected).
Fields of papers citing papers by Peter Dias
This network shows the impact of papers produced by Peter Dias. 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 Peter Dias. The network helps show where Peter Dias may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Dias, 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 | 2011 | 89 | |
| 2 | 2007 | 69 | |
| 3 | 2009 | 54 | |
| 4 | 2005 | 38 | |
| 5 | 2016 | 34 | |
| 6 | 1999 | 19 | |
| 7 | 2017 | 19 | |
| 8 | 2010 | 17 | |
| 9 | 2000 | 16 | |
| 10 | 2019 | 12 | |
| 11 | Putative innate immunity of antiatherogenic paraoxanase-2 via STAT5 signal transduction in HIV-1 infection of hematopoietic TF-1 cells and in SCID-hu mice. | 2010 | 8 |
| 12 | 2020 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2020 | 4 | |
| 15 | 2008 | 3 | |
| 16 | 2005 | 1 |
About Peter Dias
Peter Dias is a scholar working on Epidemiology, Immunology, Oncology, Genetics and Molecular Biology, having authored 16 papers that have together received 394 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Respiratory viral infections research (5 papers), Viral-associated cancers and disorders (5 papers), Influenza Virus Research Studies (5 papers), Cytomegalovirus and herpesvirus research (4 papers), Diabetes and associated disorders (3 papers), Herpesvirus Infections and Treatments (3 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (149 citations), Cancer Research (63 citations), Epidemiology (130 citations), Infectious Diseases (39 citations) and Molecular Biology (128 citations). Peter Dias has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Sally R. Sarawar, Mark D. Wareing, Yang Dai, Huiming Sheng, Chandra Inglis, Wen Li, Emma E. Hamilton‐Williams, Francesca Giannoni, Sorah Yoon and Lian Ni Lee. Their work appears in journals such as Journal of Virology, Vaccine, Developmental Neuroscience, Vaccines and American Journal Of Pathology.
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.