Daniel Layton

849 total citations
36 papers, 556 citations indexed

About

Daniel Layton is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Daniel Layton has authored 36 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 9 papers in Molecular Biology and 9 papers in Epidemiology. Recurrent topics in Daniel Layton's work include Influenza Virus Research Studies (8 papers), Animal Disease Management and Epidemiology (6 papers) and Immune Cell Function and Interaction (5 papers). Daniel Layton is often cited by papers focused on Influenza Virus Research Studies (8 papers), Animal Disease Management and Epidemiology (6 papers) and Immune Cell Function and Interaction (5 papers). Daniel Layton collaborates with scholars based in Australia, United States and United Kingdom. Daniel Layton's co-authors include Richard L. Boyd, Andrew G. D. Bean, Ann P. Chidgey, Alan Trounson, Claude C.A. Bernard, Julius Wong, Adam K. Wheatley, Stephen J. Kent, Natalie L. Payne and Thi H. O. Nguyen and has published in prestigious journals such as Nature, PLoS ONE and Journal of Virology.

In The Last Decade

Daniel Layton

35 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Layton Australia 13 165 133 112 96 78 36 556
J.A. García de Jalón Spain 15 194 1.2× 41 0.3× 104 0.9× 86 0.9× 42 0.5× 28 742
Sadatoshi Maeda Japan 17 111 0.7× 258 1.9× 74 0.7× 90 0.9× 38 0.5× 114 1.1k
Hung‐Chun Fu Taiwan 17 203 1.2× 48 0.4× 108 1.0× 39 0.4× 128 1.6× 74 890
Alastair K. Foote United Kingdom 13 77 0.5× 62 0.5× 72 0.6× 27 0.3× 56 0.7× 43 591
Xavier Moll Spain 16 75 0.5× 57 0.4× 96 0.9× 69 0.7× 95 1.2× 61 732
Baik Kee Cho South Korea 17 128 0.8× 141 1.1× 177 1.6× 44 0.5× 54 0.7× 88 950
Linda Berg Netherlands 13 181 1.1× 302 2.3× 99 0.9× 37 0.4× 73 0.9× 27 709
Nancy R. Neilsen United States 16 144 0.9× 191 1.4× 40 0.4× 62 0.6× 16 0.2× 37 752
Ranjeet Singh Mahla India 10 310 1.9× 190 1.4× 85 0.8× 129 1.3× 50 0.6× 16 794
Luigi Auletta Italy 15 220 1.3× 61 0.5× 34 0.3× 20 0.2× 85 1.1× 52 665

Countries citing papers authored by Daniel Layton

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Layton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Layton. 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 Layton. The network helps show where Daniel Layton may publish in the future.

Co-authorship network of co-authors of Daniel Layton

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Layton. A scholar is included among the top collaborators of Daniel Layton 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 Layton. Daniel Layton 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.
Beggs, DS, et al.. (2025). A Positive-Reinforcement Training Regimen for Refined Sample Collection in Laboratory Pigs. Animals. 15(4). 471–471. 1 indexed citations
2.
Jenkins, Kristie A., Daniel Layton, Tamara J. Gough, et al.. (2025). Production of immune receptor knockout chickens via direct in vivo transfection of primordial germ cells. Animal Biotechnology. 36(1). 2523027–2523027. 1 indexed citations
3.
Talbot, Anita, Tania F. de Koning‐Ward, & Daniel Layton. (2024). Left out in the cold - inequity in infectious disease control due to cold chain disparity. Vaccine. 45. 126648–126648. 5 indexed citations
4.
Davis, Samantha K., Jia Fan, Quentin G. Wright, et al.. (2024). Defining correlates of protection for mammalian livestock vaccines against high-priority viral diseases. Frontiers in Immunology. 15. 1397780–1397780. 2 indexed citations
5.
Zhang, Jianmin, Zhong Peng, Zeqiang Zhan, et al.. (2023). Genomic Characterization of Salmonella enterica serovar Weltevreden Associated with Human Diarrhea. Microbiology Spectrum. 11(1). e0354222–e0354222. 11 indexed citations
6.
Tribolet, Leon, Thomas S. Fulford, Daniel Layton, et al.. (2023). Identification of a novel role for the immunomodulator ILRUN in the development of several T cell subsets in mice. Immunobiology. 228(3). 152380–152380. 1 indexed citations
7.
Singh, Ruhani, John White, Meiling Dai, et al.. (2022). Biomimetic metal-organic frameworks as protective scaffolds for live-virus encapsulation and vaccine stabilization. Acta Biomaterialia. 142. 320–331. 30 indexed citations
8.
Layton, Daniel, Jeff Butler, Cameron R. Stewart, et al.. (2022). H7N9 bearing a mutation in the nucleoprotein leads to increased pathology in chickens. Frontiers in Immunology. 13. 974210–974210. 3 indexed citations
9.
Jiang, Wenbo, Julius Wong, Hyon‐Xhi Tan, et al.. (2021). Screening and development of monoclonal antibodies for identification of ferret T follicular helper cells. Scientific Reports. 11(1). 1864–1864. 5 indexed citations
10.
Cooper, Caitlin, Mark Tizard, Tamsyn Stanborough, et al.. (2018). Overexpressing ovotransferrin and avian β-defensin-3 improves antimicrobial capacity of chickens and poultry products. Transgenic Research. 28(1). 51–76. 12 indexed citations
11.
Layton, Daniel, et al.. (2017). Breaking the chain of zoonoses through biosecurity in livestock. Vaccine. 35(44). 5967–5973. 30 indexed citations
12.
Layton, Daniel, John D. Bentley, Louis Lu, et al.. (2017). Development of an anti-ferret CD4 monoclonal antibody for the characterisation of ferret T lymphocytes. Journal of Immunological Methods. 444. 29–35. 6 indexed citations
13.
Ren, Bin, William J. McKinstry, Tam Pham, et al.. (2015). Structural and functional characterisation of ferret interleukin-2. Developmental & Comparative Immunology. 55. 32–38. 3 indexed citations
14.
Morison, Jessica, Jürgen Homann, Maree V. Hammett, et al.. (2014). Establishment of Transplantation Tolerance via Minimal Conditioning in Aged Recipients. American Journal of Transplantation. 14(11). 2478–2490. 2 indexed citations
15.
Martin, Katherine, Daniel Layton, Natalie Seach, et al.. (2013). Upregulation of RCAN1 causes Down syndrome-like immune dysfunction. Journal of Medical Genetics. 50(7). 444–454. 13 indexed citations
16.
Layton, Daniel, et al.. (2012). Design and operation of an automated high-throughput monoclonal antibody facility. Biophysical Reviews. 5(1). 47–55. 12 indexed citations
17.
Chan, Siow Teng, Hamid Hosseini, Daniel Layton, et al.. (2011). Transplantation of retrovirally transduced bone marrow prevents autoimmune disease in aged mice by peripheral tolerance mechanisms. Autoimmunity. 44(5). 384–393. 9 indexed citations
18.
Barnard, Adele, Daniel Layton, Samy Sakkal, et al.. (2008). Impact of the Neuroendocrine System on Thymus and Bone Marrow Function. NeuroImmunoModulation. 15(1). 7–18. 23 indexed citations
19.
Chidgey, Ann P., Daniel Layton, Alan Trounson, & Richard L. Boyd. (2008). Tolerance strategies for stem-cell-based therapies. Nature. 453(7193). 330–337. 84 indexed citations
20.
Layton, Daniel, Terri E. O’Neil, Mary M. Broadway, et al.. (2006). Development of an anti-porcine CD34 monoclonal antibody that identifies hematopoietic stem cells. Experimental Hematology. 35(1). 171–178. 13 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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