Daniel R. Caffrey
- Molecular Biology top 1%
- Immunology top 0.5%
- Cancer Research top 0.5%
- Epidemiology top 5%
- Computational Theory and Mathematics top 1%
- Co-authors
- Katherine A. FitzgeraldEicke LatzGábor HorváthFranz BauernfeindVeit HornungAndrea AblasserMarie Charrel-DennisManinjay Atianand
- Topics
- Cancer-related molecular mechanisms research (8 papers)interferon and immune responses (6 papers)Influenza Virus Research Studies (6 papers)
- Partner nations
- United StatesIrelandSwitzerland
In The Last Decade
Daniel R. Caffrey
35 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 4.0k
- Immunology 2.9k
- Cancer Research 1.8k
- Epidemiology 870
- Computational Theory and Mathematics 421
Countries citing papers authored by Daniel R. Caffrey
This map shows the geographic impact of Daniel R. Caffrey'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 R. Caffrey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Caffrey more than expected).
Fields of papers citing papers by Daniel R. Caffrey
This network shows the impact of papers produced by Daniel R. Caffrey. 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 R. Caffrey. The network helps show where Daniel R. Caffrey may publish in the future.
Co-authorship network of co-authors of Daniel R. Caffrey
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Caffrey. A scholar is included among the top collaborators of Daniel R. Caffrey 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 R. Caffrey. Daniel R. Caffrey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 44 | |
| 3 | 40 | |
| 4 | 364 | |
| 5 | 18 | |
| 6 | 26 | |
| 7 | 24 | |
| 8 | 94 | |
| 9 | A Long Noncoding RNA Mediates Both Activation and Repression of Immune Response Genesbreakdown → | 776 |
| 10 | 176 | |
| 11 | 37 | |
| 12 | 1 | |
| 13 | AIM2 recognizes cytosolic dsDNA and forms a caspase-1-activating inflammasome with ASCbreakdown → | 2049 |
| 14 | 20 | |
| 15 | 0 | |
| 16 | 96 | |
| 17 | LPS-TLR4 Signaling to IRF-3/7 and NF-κB Involves the Toll Adapters TRAM and TRIFbreakdown → | 979 |
| 18 | 270 | |
| 19 | 17 | |
| 20 | 16 |
About Daniel R. Caffrey
Daniel R. Caffrey is a scholar working on Cancer Research, Aging and Immunology, having authored 36 papers that have together received 6.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), interferon and immune responses (6 papers) and Influenza Virus Research Studies (6 papers). The work is most often cited by research in Immunology (2.9k citations), Cancer Research (1.8k citations) and Molecular Biology (4.0k citations). Daniel R. Caffrey has collaborated with scholars based in United States, Ireland and Switzerland. Frequent co-authors include Katherine A. Fitzgerald, Eicke Latz, Gábor Horváth, Franz Bauernfeind, Veit Hornung, Andrea Ablasser, Marie Charrel-Dennis, Maninjay Atianand, Brian G. Monks and Douglas T. Golenbock. Their work appears in journals such as Nature, Science and 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.