Christopher P. Dillon
- Immunology top 0.5%
- Immune Response and Inflammation 8
- Phagocytosis and Immune Regulation 6
- interferon and immune responses 5
- Molecular Biology top 0.5%
- Cell death mechanisms and regulation 17
- Inflammasome and immune disorders 10
- RNA Interference and Gene Delivery 7
- Cancer Research top 1%
- Epidemiology top 1%
- Physiology top 1%
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- Cancer-related Molecular Pathways 5
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- Virus-based gene therapy research 3
- Co-authors
- Douglas R. GreenLaura L. McCormickRicardo WeinlichAndrew OberstLuk Van ParijsMichael T. McManusStephen W. G. TaitSandra Milasta
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Christopher P. Dillon
44 papers receiving 10.5k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Immunology 4.3k
- Molecular Biology 7.1k
- Cancer Research 1.3k
- Epidemiology 1.8k
- Physiology 223
Countries citing papers authored by Christopher P. Dillon
This map shows the geographic impact of Christopher P. Dillon'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 Christopher P. Dillon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher P. Dillon more than expected).
Fields of papers citing papers by Christopher P. Dillon
This network shows the impact of papers produced by Christopher P. Dillon. 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 Christopher P. Dillon. The network helps show where Christopher P. Dillon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher P. Dillon, 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 | 2024 | 1 | |
| 2 | 2021 | 2 | |
| 3 | 2020 | 11 | |
| 4 | 2019 | 81 | |
| 5 | 2017 | 94 | |
| 6 | 2016 | 36 | |
| 7 | 2016 | 18 | |
| 8 | 2015 | 19 | |
| 9 | 2015 | 294 | |
| 10 | 2014 | 126 | |
| 11 | 2013 | 121 | |
| 12 | 2012 | 272 | |
| 13 | 2011 | 154 | |
| 14 | 2011 | 92 | |
| 15 | The Transcription Factor Myc Controls Metabolic Reprogramming upon T Lymphocyte Activationbreakdown → | 2011 | 1614 |
| 16 | Catalytic activity of the caspase-8–FLIPL complex inhibits RIPK3-dependent necrosisbreakdown → | 2011 | 995 |
| 17 | 2011 | 462 | |
| 18 | 2011 | 132 | |
| 19 | 2007 | 45 | |
| 20 | Cre-lox-regulated conditional RNA interference from transgenesbreakdown → | 2004 | 500 |
About Christopher P. Dillon
Christopher P. Dillon is a scholar working on Immunology, Molecular Biology and Endocrinology, having authored 46 papers that have together received 10.6k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (17 papers), Inflammasome and immune disorders (10 papers), Immune Response and Inflammation (8 papers), RNA Interference and Gene Delivery (7 papers), Phagocytosis and Immune Regulation (6 papers), interferon and immune responses (5 papers), Cancer-related Molecular Pathways (5 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Immunology (4.3k citations), Molecular Biology (7.1k citations) and Cancer Research (1.3k citations). Christopher P. Dillon has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Douglas R. Green, Laura L. McCormick, Ricardo Weinlich, Andrew Oberst, Luk Van Parijs, Michael T. McManus, Stephen W. G. Tait, Sandra Milasta, Robert Carter and Patrick Fitzgerald. Their work appears in journals such as The Journal of Immunology, Immunity, Nature, Proceedings of the National Academy of Sciences and Molecular Cell.
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.