D. F. Young

4.2k total citations · 1 hit paper
50 papers, 3.3k citations indexed

About

D. F. Young is a scholar working on Epidemiology, Immunology and Infectious Diseases. According to data from OpenAlex, D. F. Young has authored 50 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Epidemiology, 22 papers in Immunology and 16 papers in Infectious Diseases. Recurrent topics in D. F. Young's work include Virology and Viral Diseases (28 papers), Respiratory viral infections research (17 papers) and interferon and immune responses (15 papers). D. F. Young is often cited by papers focused on Virology and Viral Diseases (28 papers), Respiratory viral infections research (17 papers) and interferon and immune responses (15 papers). D. F. Young collaborates with scholars based in United Kingdom, United States and Mexico. D. F. Young's co-authors include Richard E. Randall, Stephen Goodbourn, J. Andrejeva, T. S. Carlos, Nicola Stock, Kay Childs, Jo Southern, K. K. A. Goswami, W. C. Russell and Nikolaos Chatziandreou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Virology and Frontiers in Immunology.

In The Last Decade

D. F. Young

49 papers receiving 3.2k citations

Hit Papers

The V proteins of paramyxoviruses bind the IFN-inducible ... 2004 2026 2011 2018 2004 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. F. Young United Kingdom 26 1.8k 1.7k 1.1k 689 572 50 3.3k
Russell K. Durbin United States 33 1.3k 0.7× 1.5k 0.9× 995 0.9× 1.2k 1.7× 1.0k 1.8× 51 3.8k
Bin Gotoh Japan 28 856 0.5× 1.7k 1.0× 965 0.9× 729 1.1× 456 0.8× 56 2.8k
Gary Rhodes United States 26 1.9k 1.1× 1.1k 0.6× 854 0.8× 1.4k 2.0× 643 1.1× 45 4.0k
James Tartaglia United States 43 2.0k 1.1× 2.0k 1.2× 879 0.8× 1.4k 2.1× 1.3k 2.4× 84 5.0k
Ali Saı̈b France 33 1.0k 0.6× 968 0.6× 680 0.6× 1.4k 2.1× 669 1.2× 63 3.4k
Dominique Garcin Switzerland 38 1.6k 0.9× 2.2k 1.3× 1.8k 1.6× 1.0k 1.5× 529 0.9× 72 4.3k
Lynda A. Morrison United States 34 1.6k 0.9× 2.0k 1.2× 340 0.3× 667 1.0× 556 1.0× 87 3.4k
Gert Zimmer Germany 40 693 0.4× 1.6k 0.9× 1.6k 1.5× 660 1.0× 581 1.0× 99 3.6k
Brian J. Willett United Kingdom 34 864 0.5× 1.6k 1.0× 846 0.8× 642 0.9× 1.0k 1.8× 122 3.5k
Suzanne L. Epstein United States 28 2.2k 1.3× 2.1k 1.3× 583 0.5× 891 1.3× 305 0.5× 70 3.7k

Countries citing papers authored by D. F. Young

Since Specialization
Citations

This map shows the geographic impact of D. F. Young'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 D. F. Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. F. Young more than expected).

Fields of papers citing papers by D. F. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. F. Young. 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 D. F. Young. The network helps show where D. F. Young may publish in the future.

Co-authorship network of co-authors of D. F. Young

This figure shows the co-authorship network connecting the top 25 collaborators of D. F. Young. A scholar is included among the top collaborators of D. F. Young 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 D. F. Young. D. F. Young 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
2.
Young, D. F., David C. Busse, Andrew J. Davison, et al.. (2019). The switch between acute and persistent paramyxovirus infection caused by single amino acid substitutions in the RNA polymerase P subunit. PLoS Pathogens. 15(2). e1007561–e1007561. 36 indexed citations
3.
Hambleton, Sophie, Stephen Goodbourn, D. F. Young, et al.. (2013). STAT2 deficiency and susceptibility to viral illness in humans. Proceedings of the National Academy of Sciences. 110(8). 3053–3058. 158 indexed citations
4.
Killip, Marian J., et al.. (2011). Failure to activate the IFN-β promoter by a paramyxovirus lacking an interferon antagonist. Virology. 415(1). 39–46. 35 indexed citations
5.
Young, D. F., et al.. (2010). Heterocellular induction of interferon by negative-sense RNA viruses. Virology. 407(2). 247–255. 59 indexed citations
6.
Carlos, T. S., D. F. Young, Silke Stertz, Georg Kochs, & Richard E. Randall. (2007). Interferon-induced inhibition of parainfluenza virus type 5; the roles of MxA, PKR and oligo A synthetase/RNase L. Virology. 363(1). 166–173. 13 indexed citations
9.
Chatziandreou, Nikolaos, D. F. Young, J. Andrejeva, Stephen Goodbourn, & Richard E. Randall. (2002). Differences in Interferon Sensitivity and Biological Properties of Two Related Isolates of Simian Virus 5: A Model for Virus Persistence. Virology. 293(2). 234–242. 55 indexed citations
10.
Young, D. F., et al.. (2000). Paramyxoviridae Use Distinct Virus-Specific Mechanisms to Circumvent the Interferon Response. Virology. 269(2). 383–390. 165 indexed citations
11.
Young, D. F., et al.. (1999). The V Protein of Simian Virus 5 Inhibits Interferon Signalling by Targeting STAT1 for Proteasome-Mediated Degradation. Journal of Virology. 73(12). 9928–9933. 370 indexed citations
12.
Hanke, Thomas, D. F. Young, Carl Doyle, Ian M. Jones, & Richard E. Randall. (1995). Attachment of an oligopeptide epitope to the C-terminus of recombinant SIV gp160 facilitates the construction of SMAA complexes while preserving CD4 binding. Journal of Virological Methods. 53(1). 149–156. 7 indexed citations
13.
Precious, B., D. F. Young, A Bermingham, et al.. (1995). Inducible expression of the P, V, and NP genes of the paramyxovirus simian virus 5 in cell lines and an examination of NP-P and NP-V interactions. Journal of Virology. 69(12). 8001–8010. 59 indexed citations
14.
Fearns, Rachel, D. F. Young, & Richard E. Randall. (1994). Evidence that the paramyxovirus simian virus 5 can establish quiescent infections by remaining inactive in cytoplasmic inclusion bodies. Journal of General Virology. 75(12). 3525–3539. 42 indexed citations
15.
Southern, Jo, et al.. (1991). Identification of an epitope on the P and V proteins of simian virus 5 that distinguishes between two isolates with different biological characteristics. Journal of General Virology. 72(7). 1551–1557. 166 indexed citations
16.
Randall, Richard E. & D. F. Young. (1991). Solid matrix-antibody-antigen complexes induce antigen-specific CD8+ cells that clear a persistent paramyxovirus infection. Journal of Virology. 65(2). 719–726. 23 indexed citations
17.
Randall, Richard E. & D. F. Young. (1988). Comparison between Parainfluenza Virus Type 2 and Simian Virus 5: Monoclonal Antibodies Reveal Major Antigenic Differences. Journal of General Virology. 69(8). 2051–2060. 21 indexed citations
18.
19.
Randall, Richard E., D. F. Young, K. K. A. Goswami, & W. C. Russell. (1987). Isolation and Characterization of Monoclonal Antibodies to Simian Virus 5 and Their Use in Revealing Antigenic Differences between Human, Canine and Simian Isolates. Journal of General Virology. 68(11). 2769–2780. 144 indexed citations
20.
Bodmer, J. G., D. F. Young, Elizabeth Jones, et al.. (1977). Serologic characterization of human Ia antigens using B-cell lymphoid lines.. PubMed. 9(1 Suppl 1). 121–6. 25 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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