Daniel R. Caffrey

8.9k total citations · 5 hit papers
36 papers, 6.4k citations indexed

About

Daniel R. Caffrey is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Daniel R. Caffrey has authored 36 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 10 papers in Immunology and 10 papers in Cancer Research. Recurrent topics in Daniel R. Caffrey's work include Cancer-related molecular mechanisms research (8 papers), interferon and immune responses (6 papers) and Influenza Virus Research Studies (6 papers). Daniel R. Caffrey is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), interferon and immune responses (6 papers) and Influenza Virus Research Studies (6 papers). Daniel R. Caffrey collaborates with scholars based in United States, Ireland and Switzerland. Daniel R. Caffrey's 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 and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Daniel R. Caffrey

35 papers receiving 6.4k citations

Hit Papers

AIM2 recognizes cytosolic dsDNA and forms a caspase-1-act... 2003 2026 2010 2018 2009 2003 2013 2007 2017 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel R. Caffrey United States 23 4.0k 2.9k 1.8k 870 421 36 6.4k
Yair Benita United States 15 2.3k 0.6× 1.1k 0.4× 532 0.3× 895 1.0× 238 0.6× 21 4.4k
Guangxia Gao China 33 3.9k 1.0× 1.7k 0.6× 423 0.2× 606 0.7× 346 0.8× 70 6.3k
Hayyoung Lee South Korea 24 2.3k 0.6× 4.1k 1.4× 726 0.4× 1.1k 1.3× 66 0.2× 45 6.7k
Scott J. Snipas United States 31 2.8k 0.7× 841 0.3× 602 0.3× 467 0.5× 218 0.5× 58 4.0k
Holger Wesche United States 29 2.1k 0.5× 5.6k 1.9× 2.1k 1.1× 909 1.0× 62 0.1× 47 7.7k
Derek W. Abbott United States 36 5.2k 1.3× 2.9k 1.0× 1.1k 0.6× 919 1.1× 53 0.1× 67 7.4k
O. John Semmes United States 53 3.9k 1.0× 2.1k 0.7× 781 0.4× 707 0.8× 48 0.1× 140 7.4k
Henri S. Lichenstein United States 40 3.3k 0.8× 2.1k 0.7× 707 0.4× 562 0.6× 56 0.1× 59 6.3k
Qiang Sun China 39 3.3k 0.8× 2.5k 0.9× 1.2k 0.7× 683 0.8× 34 0.1× 207 6.4k
Martin Renatus United States 26 3.5k 0.9× 748 0.3× 599 0.3× 628 0.7× 167 0.4× 39 4.6k

Countries citing papers authored by Daniel R. Caffrey

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Crabtree, Juliet, Daniel R. Caffrey, Leandro S. Silva, et al.. (2022). Lymphocyte crosstalk is required for monocyte-intrinsic trained immunity to Plasmodium falciparum. Journal of Clinical Investigation. 132(11). 17 indexed citations
2.
Paik, Donggi, et al.. (2017). SLC46 Family Transporters Facilitate Cytosolic Innate Immune Recognition of Monomeric Peptidoglycans. The Journal of Immunology. 199(1). 263–270. 44 indexed citations
3.
Kalantari, Parisa, Omid F. Harandi, Sarika Agarwal, et al.. (2017). miR-718 represses proinflammatory cytokine production through targeting phosphatase and tensin homolog (PTEN). Journal of Biological Chemistry. 292(14). 5634–5644. 40 indexed citations
4.
Atianand, Maninjay, Wenqian Hu, Ansuman T. Satpathy, et al.. (2016). A Long Noncoding RNA lincRNA-EPS Acts as a Transcriptional Brake to Restrain Inflammation. Cell. 165(7). 1672–1685. 364 indexed citations
5.
Zeldovich, Konstantin B., Ping Liu, Nicholas Renzette, et al.. (2015). Positive Selection Drives Preferred Segment Combinations during Influenza Virus Reassortment. Molecular Biology and Evolution. 32(6). 1519–1532. 18 indexed citations
6.
Caffrey, Daniel R., et al.. (2015). The domain structure and distribution of Alu elements in long noncoding RNAs and mRNAs. RNA. 22(2). 254–264. 26 indexed citations
7.
Jiang, Li, Ping Liu, Claudia Bank, et al.. (2015). A Balance between Inhibitor Binding and Substrate Processing Confers Influenza Drug Resistance. Journal of Molecular Biology. 428(3). 538–553. 24 indexed citations
8.
Foll, Matthieu, Yu-Ping Poh, Nicholas Renzette, et al.. (2014). Influenza Virus Drug Resistance: A Time-Sampled Population Genetics Perspective. PLoS Genetics. 10(2). e1004185–e1004185. 94 indexed citations
9.
Carpenter, Susan, Maninjay Atianand, Emiliano P. Ricci, et al.. (2013). A Long Noncoding RNA Mediates Both Activation and Repression of Immune Response Genes. Science. 341(6147). 789–792. 776 indexed citations breakdown →
10.
Fitzgerald, Katherine A. & Daniel R. Caffrey. (2013). Long noncoding RNAs in innate and adaptive immunity. Current Opinion in Immunology. 26. 140–146. 176 indexed citations
11.
Li, Hui, Brian Johnston, Daniel Andrew Aiello, et al.. (2013). Distinct Cellular Origins for Serotonin-Expressing and Enterochromaffin-like Cells in the Gastric Corpus. Gastroenterology. 146(3). 754–764.e3. 37 indexed citations
12.
Renzette, Nicholas, et al.. (2012). In vitro culture of influenza A alters the evolutionary trajectories of viral populations. International Journal of Infectious Diseases. 16. e105–e105. 1 indexed citations
13.
Hornung, Veit, Andrea Ablasser, Marie Charrel-Dennis, et al.. (2009). AIM2 recognizes cytosolic dsDNA and forms a caspase-1-activating inflammasome with ASC. Nature. 458(7237). 514–518. 2049 indexed citations breakdown →
14.
Caffrey, Daniel R., Elizabeth A. Lunney, & Deborah Moshinsky. (2008). Prediction of specificity-determining residues for small-molecule kinase inhibitors. BMC Bioinformatics. 9(1). 491–491. 20 indexed citations
15.
Caffrey, Daniel R., Yaoyu E. Wang, Shyamal Somaroo, et al.. (2007). PFAAT version 2.0: A tool for editing, annotating, and analyzing multiple sequence alignments. BMC Bioinformatics. 8(1). 381–381.
16.
Lauw, Fanny N., Daniel R. Caffrey, & Douglas T. Golenbock. (2005). Of mice and man: TLR11 (finally) finds profilin. Trends in Immunology. 26(10). 509–511. 96 indexed citations
17.
Fitzgerald, Katherine A., Daniel C. Rowe, Betsy Barnes, et al.. (2003). LPS-TLR4 Signaling to IRF-3/7 and NF-κB Involves the Toll Adapters TRAM and TRIF. The Journal of Experimental Medicine. 198(7). 1043–1055. 979 indexed citations breakdown →
18.
Caffrey, Daniel R., Shyamal Somaroo, Jason D. Hughes, Julian Mintseris, & Enoch S. Huang. (2003). Are protein–protein interfaces more conserved in sequence than the rest of the protein surface?. Protein Science. 13(1). 190–202. 270 indexed citations
19.
Hokamp, Karsten, Denis C. Shields, Kenneth H. Wolfe, & Daniel R. Caffrey. (2003). Wrapping up BLAST and other applications for use on Unix clusters. Bioinformatics. 19(3). 441–442. 17 indexed citations
20.
Caffrey, Daniel R., Denis C. Shields, & Luke O'neill. (2000). A method to predict residues conferring functional differences between related proteins: Application to MAP kinase pathways. Protein Science. 9(4). 655–670. 16 indexed citations

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.

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