T.F. Davison

2.6k total citations
68 papers, 2.1k citations indexed

About

T.F. Davison is a scholar working on Animal Science and Zoology, Epidemiology and Immunology. According to data from OpenAlex, T.F. Davison has authored 68 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Animal Science and Zoology, 27 papers in Epidemiology and 15 papers in Immunology. Recurrent topics in T.F. Davison's work include Animal Nutrition and Physiology (24 papers), Herpesvirus Infections and Treatments (16 papers) and Cytomegalovirus and herpesvirus research (13 papers). T.F. Davison is often cited by papers focused on Animal Nutrition and Physiology (24 papers), Herpesvirus Infections and Treatments (16 papers) and Cytomegalovirus and herpesvirus research (13 papers). T.F. Davison collaborates with scholars based in United States, United Kingdom and Slovakia. T.F. Davison's co-authors include Shane C. Burgess, John R. Young, Lonneke Vervelde, Ritchie Williamson, J. G. Rowell, Bas Baaten, Susan J. Baigent, S. Harvey, C A Tregaskes and David R. Withers and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Journal of Virology.

In The Last Decade

T.F. Davison

68 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T.F. Davison United States 29 853 815 506 240 198 68 2.1k
J. S. Gavora Canada 27 959 1.1× 554 0.7× 261 0.5× 365 1.5× 86 0.4× 85 1.9k
L. H. Arp United States 20 231 0.3× 277 0.3× 261 0.5× 141 0.6× 151 0.8× 56 1.2k
Stephen N. White United States 26 581 0.7× 430 0.5× 210 0.4× 500 2.1× 130 0.7× 99 2.4k
T.W. Jungi Switzerland 29 293 0.3× 247 0.3× 839 1.7× 381 1.6× 224 1.1× 89 2.3k
H. L. Thacker United States 22 318 0.4× 241 0.3× 81 0.2× 156 0.7× 396 2.0× 63 1.3k
W.J. Herbert United Kingdom 16 171 0.2× 956 1.2× 254 0.5× 202 0.8× 102 0.5× 40 1.7k
W.M.M. Schaaper Netherlands 26 640 0.8× 271 0.3× 225 0.4× 660 2.8× 607 3.1× 54 2.1k
Pascale Quéré France 22 425 0.5× 432 0.5× 474 0.9× 226 0.9× 175 0.9× 59 1.4k
S.J. Lamont United States 20 697 0.8× 139 0.2× 265 0.5× 210 0.9× 72 0.4× 35 1.2k
Lisa Rothwell United Kingdom 29 1.5k 1.8× 481 0.6× 1.2k 2.4× 366 1.5× 506 2.6× 57 2.9k

Countries citing papers authored by T.F. Davison

Since Specialization
Citations

This map shows the geographic impact of T.F. Davison'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 T.F. Davison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.F. Davison more than expected).

Fields of papers citing papers by T.F. Davison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T.F. Davison

This figure shows the co-authorship network connecting the top 25 collaborators of T.F. Davison. A scholar is included among the top collaborators of T.F. Davison 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 T.F. Davison. T.F. Davison 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.
Butter, Colin, Karen Staines, Andy van Hateren, T.F. Davison, & Jim Kaufman. (2013). The peptide motif of the single dominantly expressed class I molecule of the chicken MHC can explain the response to a molecular defined vaccine of infectious bursal disease virus (IBDV). Immunogenetics. 65(8). 609–618. 21 indexed citations
2.
Baaten, Bas, Karen Staines, Lorraine P. Smith, et al.. (2009). Early Replication in Pulmonary B Cells After Infection with Marek's Disease Herpesvirus by the Respiratory Route. Viral Immunology. 22(6). 431–444. 47 indexed citations
3.
Withers, David R., T.F. Davison, & John R. Young. (2006). Diversified bursal medullary B cells survive and expand independently after depletion following neonatal infectious bursal disease virus infection. Immunology. 117(4). 558–565. 29 indexed citations
4.
Kaiser, Pete, et al.. (2006). In ovo DNA immunisation followed by a recombinant fowlpox boost is fully protective to challenge with virulent IBDV. Vaccine. 24(23). 4951–4961. 21 indexed citations
5.
Withers, David R., John R. Young, & T.F. Davison. (2005). Infectious Bursal Disease Virus-Induced Immunosuppression in the Chick Is Associated with the Presence of Undifferentiated Follicles in the Recovering Bursa. Viral Immunology. 18(1). 127–137. 52 indexed citations
6.
Withers, David R., T.F. Davison, & John R. Young. (2004). Developmentally programmed expression of AID in chicken B cells. Developmental & Comparative Immunology. 29(7). 651–662. 9 indexed citations
7.
Davison, T.F.. (2003). The immunologists' debt to the chicken. British Poultry Science. 44(1). 6–21. 75 indexed citations
8.
9.
Burgess, Shane C. & T.F. Davison. (1999). A quantitative duplex PCR technique for measuring amounts of cell-associated Marek's disease virus: differences in two populations of lymphoma cells. Journal of Virological Methods. 82(1). 27–37. 23 indexed citations
10.
11.
12.
Baigent, Susan J., T.F. Davison, & L. J. N. Ross. (1998). Differential susceptibility to Marek's disease is associated with differences in number, but not phenotype or location, of pp38+ lymphocytes.. Journal of General Virology. 79(11). 2795–2802. 48 indexed citations
13.
Vervelde, Lonneke & T.F. Davison. (1997). Comparison of the in situ changes in lymphoid cells during infection with infectious bursal disease virus in chickens of different ages. Avian Pathology. 26(4). 803–821. 45 indexed citations
14.
Ross, Norman, L F Lee, Gerald C. O’Sullivan, et al.. (1997). Marek's disease virus EcoRI-Q gene (meq) and a small RNA antisense to ICP4 are abundantly expressed in CD4+ cells and cells carrying a novel lymphoid marker, AV37, in Marek's disease lymphomas.. Journal of General Virology. 78(9). 2191–2198. 57 indexed citations
15.
Ducatelle, R., Freddy Haesebrouck, Sven Arnouts, et al.. (1997). Monoclonal and polyclonal antibodies to chicken immunoglobulin isotypes specifically detect turkey immunoglobulin isotypes. Veterinary Immunology and Immunopathology. 57(3-4). 305–314. 12 indexed citations
16.
Tregaskes, Clive A., Nat Bumstead, T.F. Davison, & John R. Young. (1996). Chicken B-cell marker chB6 (Bu-1) is a highly glycosylated protein of unique structure. Immunogenetics. 44(3). 212–217. 64 indexed citations
17.
Parmentier, H.K., et al.. (1995). Differences in distribution of lymphocyte antigens in chicken lines divergently selected for antibody responses to sheep red blood cells. Veterinary Immunology and Immunopathology. 48(1-2). 155–168. 44 indexed citations
18.
Cook, Jane K. A., et al.. (1991). Effect of in ovo bursectomy on the course of an infectious bronchitis virus infection in line C White Leghorn chickens. Archives of Virology. 118(3-4). 225–234. 52 indexed citations
19.
Williamson, Richard A., T.F. Davison, & L. N. Payne. (1990). Effects of thyroid hormones on humoral and cell-mediated immune responses in the domestic fowl (Gallus domesticus). Developmental & Comparative Immunology. 14(3). 305–318. 18 indexed citations
20.
Fadly, A. M., T.F. Davison, L. N. Payne, & K. Howes. (1989). Avian leukosis virus infection and shedding in brown leghorn chickens treated with corticosterone or exposed to various stressors. Avian Pathology. 18(2). 283–298. 18 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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