Christopher J. Davies

24.1k total citations
85 papers, 2.6k citations indexed

About

Christopher J. Davies is a scholar working on Immunology, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Christopher J. Davies has authored 85 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Immunology, 22 papers in Molecular Biology and 20 papers in Agronomy and Crop Science. Recurrent topics in Christopher J. Davies's work include Reproductive Physiology in Livestock (14 papers), Reproductive System and Pregnancy (13 papers) and T-cell and B-cell Immunology (12 papers). Christopher J. Davies is often cited by papers focused on Reproductive Physiology in Livestock (14 papers), Reproductive System and Pregnancy (13 papers) and T-cell and B-cell Immunology (12 papers). Christopher J. Davies collaborates with scholars based in United States, United Kingdom and Netherlands. Christopher J. Davies's co-authors include Donald H. Schlafer, Patricia J. Fisher, Leif Andersson, Jonathan R. Hill, Clyde A. Hutchison, Douglas F. Antczak, D. H. Schläfer, William C. Davis, J. Lannett Edwards and F. N. Schrick and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and PLoS ONE.

In The Last Decade

Christopher J. Davies

83 papers receiving 2.6k citations

Peers

Christopher J. Davies
M R Brandon Australia
Paul M. Coussens United States
Helen Everett United Kingdom
Giuseppe Bertoni Switzerland
Joe Conner United Kingdom
Christopher J. Davies
Citations per year, relative to Christopher J. Davies Christopher J. Davies (= 1×) peers Gilles Foucras

Countries citing papers authored by Christopher J. Davies

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Davies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Davies. 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 Christopher J. Davies. The network helps show where Christopher J. Davies may publish in the future.

Co-authorship network of co-authors of Christopher J. Davies

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. Davies. A scholar is included among the top collaborators of Christopher J. Davies 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 Christopher J. Davies. Christopher J. Davies 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.
Livermore, Philip W., et al.. (2025). Local flow estimation at the top of the Earth’s core using Physics Informed Neural Networks. Physics of The Earth and Planetary Interiors. 367. 107424–107424. 1 indexed citations
2.
Fishman, Michael, David M. Schultz, Christopher J. Davies, et al.. (2024). Improvements in Therapy Experience With Evoked Compound Action Potential Controlled, Closed-Loop Spinal Cord Stimulation—Primary Outcome of the ECHO-MAC Randomized Clinical Trial. Journal of Pain. 25(11). 104646–104646. 5 indexed citations
3.
McGregor, Christopher G.A., Guerard W. Byrne, Zhiqiang Fan, Christopher J. Davies, & Irina A. Polejaeva. (2023). Genetically engineered sheep: A new paradigm for future preclinical testing of biological heart valves. Journal of Thoracic and Cardiovascular Surgery. 166(4). e142–e152. 6 indexed citations
4.
Davies, Christopher J., Zhiqiang Fan, Ying Liu, et al.. (2022). Development and characterization of type I interferon receptor knockout sheep: A model for viral immunology and reproductive signaling. Frontiers in Genetics. 13. 986316–986316. 7 indexed citations
5.
Gradil, Carlos M., et al.. (2021). An intrauterine device with potential to control fertility in feral equids. Animal Reproduction Science. 231. 106795–106795. 2 indexed citations
6.
Ewer, Katie, Christopher M. Smith, Georgina Bowyer, et al.. (2018). DURABILITY OF IMMUNE RESPONSES INDUCED BY THREE LEADING CANDIDATE EBOLA VACCINE REGIMES; RVSV ZEBOV, CHAD3 EBO Z-MVA BN-FILO AND ADHU26. ZEBOV-MVA BN FILO. American Journal of Tropical Medicine and Hygiene. 99. 214–215. 1 indexed citations
7.
Shi, Bi, Aaron J. Thomas, Abby D. Benninghoff, et al.. (2017). Genetic and epigenetic regulation of major histocompatibility complex class I gene expression in bovine trophoblast cells. American Journal of Reproductive Immunology. 79(1). 14 indexed citations
8.
Torres, Anthony, Thayne L. Sweeten, Randall C. Johnson, et al.. (2016). Common Genetic Variants Found in HLA and KIR Immune Genes in Autism Spectrum Disorder. Frontiers in Neuroscience. 10. 463–463. 38 indexed citations
9.
Parasar, Parveen, Heloísa M. Rutigliano, Aaron J. Thomas, et al.. (2016). Expression of bovine non-classical major histocompatibility complex class I proteins in mouse P815 and human K562 cells. Research in Veterinary Science. 107. 161–170. 2 indexed citations
11.
Meng, Qinggang, Xia Wu, Thomas D. Bunch, et al.. (2011). Enucleation of Demecolcine-Treated Bovine Oocytes in Cytochalasin-Free Medium: Mechanism Investigation and Practical Improvement. Cellular Reprogramming. 13(5). 411–418. 7 indexed citations
12.
Benedictus, Lindert, Aaron J. Thomas, R. Jorritsma, Christopher J. Davies, & Ad P. Koets. (2011). Two‐Way Calf to Dam Major Histocompatibility Class I Compatibility Increases Risk for Retained Placenta in Cattle. American Journal of Reproductive Immunology. 67(3). 224–230. 21 indexed citations
13.
Gifford, Craig A, Karen Racicot, Kathleen J Austin, et al.. (2007). Regulation of Interferon-Stimulated Genes in Peripheral Blood Leukocytes in Pregnant and Bred, Nonpregnant Dairy Cows. Journal of Dairy Science. 90(1). 274–280. 187 indexed citations
14.
Davies, Christopher J.. (2007). Why is the fetal allograft not rejected?1. Journal of Animal Science. 85(suppl_13). E32–E35. 28 indexed citations
15.
Ellis, Shirley A., Ronald E. Bontrop, Douglas F. Antczak, et al.. (2006). ISAG/IUIS-VIC Comparative MHC Nomenclature Committee report, 2005. Immunogenetics. 57(12). 953–958. 98 indexed citations
16.
Davies, Christopher J., Hilary Muirhead, & John M. Chirgwin. (2003). The structure of human phosphoglucose isomerase complexed with a transition-state analogue. Acta Crystallographica Section D Biological Crystallography. 59(6). 1111–1113. 27 indexed citations
17.
Lyle, Robert, Daisuke Watanabe, Daniëlle te Vruchte, et al.. (2000). The imprinted antisense RNA at the Igf2r locus overlaps but does not imprint Mas1. Nature Genetics. 25(1). 19–21. 218 indexed citations
18.
Kugler, Wilfried, Petra Laspe, Hilary Muirhead, et al.. (1998). Molecular basis of neurological dysfunction coupled with haemolytic anaemia in human glucose-6-phosphate isomerase (GPI) deficiency. Human Genetics. 103(4). 450–454. 45 indexed citations
19.
Davies, Christopher J. & Clyde A. Hutchison. (1995). Insertion site specificity of the transposon Tn3. Nucleic Acids Research. 23(3). 507–514. 30 indexed citations
20.
Davies, Christopher J. & Douglas F. Antczak. (1991). Mixed lymphocyte culture studies reveal complexity in the bovine MHC not detected by class I serology. Animal Genetics. 22(1). 31–44. 7 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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