C. Gray

3.1k total citations
40 papers, 2.5k citations indexed

About

C. Gray is a scholar working on Molecular Biology, Immunology and Agronomy and Crop Science. According to data from OpenAlex, C. Gray has authored 40 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Immunology and 8 papers in Agronomy and Crop Science. Recurrent topics in C. Gray's work include Herpesvirus Infections and Treatments (5 papers), interferon and immune responses (4 papers) and Milk Quality and Mastitis in Dairy Cows (4 papers). C. Gray is often cited by papers focused on Herpesvirus Infections and Treatments (5 papers), interferon and immune responses (4 papers) and Milk Quality and Mastitis in Dairy Cows (4 papers). C. Gray collaborates with scholars based in Australia, United Kingdom and United States. C. Gray's co-authors include Peter Hersey, Xu Dong Zhang, Tuong Nguyen, Paolo Arosio, Ross L. Tellam, H. Gobind Khorana, K. Biemann, Robert J. Anderegg, Gerhard E. Gerber and Walter C. Herlihy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.

In The Last Decade

C. Gray

40 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Gray Australia 23 1.3k 597 368 353 296 40 2.5k
Michael F.G. Schmidt Germany 37 2.2k 1.7× 447 0.7× 82 0.2× 213 0.6× 477 1.6× 85 3.8k
Joan Burnside United States 35 1.5k 1.2× 766 1.3× 105 0.3× 70 0.2× 935 3.2× 71 3.8k
Scott Napper Canada 30 1.2k 1.0× 452 0.8× 107 0.3× 54 0.2× 184 0.6× 105 2.4k
Edward C. Yurewicz United States 27 1.1k 0.9× 378 0.6× 246 0.7× 86 0.2× 469 1.6× 53 2.6k
Tetsuya Furuya Japan 31 783 0.6× 442 0.7× 141 0.4× 111 0.3× 510 1.7× 102 3.1k
Yves Jacob France 40 1.4k 1.1× 727 1.2× 78 0.2× 139 0.4× 387 1.3× 103 3.9k
Mitchell Gross United States 29 2.2k 1.7× 1.2k 2.0× 61 0.2× 74 0.2× 429 1.4× 44 3.9k
A. Renard Belgium 18 699 0.5× 320 0.5× 366 1.0× 43 0.1× 247 0.8× 32 1.9k
G K McMaster Switzerland 16 1.8k 1.4× 382 0.6× 53 0.1× 123 0.3× 816 2.8× 19 3.2k
P. Manjunath Canada 39 1.0k 0.8× 224 0.4× 696 1.9× 46 0.1× 759 2.6× 99 4.8k

Countries citing papers authored by C. Gray

Since Specialization
Citations

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

Fields of papers citing papers by C. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Gray

This figure shows the co-authorship network connecting the top 25 collaborators of C. Gray. A scholar is included among the top collaborators of C. Gray 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 C. Gray. C. Gray 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.
Burr, S, Colin C. Ferguson, C. Gray, et al.. (2021). Standard setting anchor statements: a double cross-over trial of two different methods. MedEdPublish. 10(1). 32–32. 1 indexed citations
2.
Gray, C. & S Burr. (2019). Timing is key to providing modified assessments for students with specific learning difficulties. Perspectives on Medical Education. 9(1). 49–56. 7 indexed citations
3.
Nagel, R, C. Gray, Helle Bielefeldt‐Ohmann, & Rebecca J. Traub. (2015). Features of Blastocystis spp. in xenic culture revealed by deconvolutional microscopy. Parasitology Research. 114(9). 3237–3245. 2 indexed citations
4.
Cuttell, Leigh, María Ángeles Gómez-Morales, Peter J. Adams, et al.. (2013). Evaluation of ELISA coupled with Western blot as a surveillance tool for Trichinella infection in wild boar (Sus scrofa). Veterinary Parasitology. 199(3-4). 179–190. 22 indexed citations
5.
Gray, C., Muhammad S. Ahmed, Ayman Mubarak, et al.. (2013). Activation of memory Th17 cells by domain 4 pneumolysin in human nasopharynx-associated lymphoid tissue and its association with pneumococcal carriage. Mucosal Immunology. 7(3). 705–717. 34 indexed citations
6.
Jonsson, N.N., E.K. Piper, C. Gray, Abdülkerim Deniz, & Constantin Constantinoiu. (2011). Efficacy of Toltrazuril 5 % Suspension against Eimeria bovis and Eimeria zuernii in Calves and Observations on the Associated Immunopathology. Parasitology Research. 109(S1). 113–128. 24 indexed citations
7.
Cuttell, Leigh, et al.. (2011). First report of a Trichinella papuae infection in a wild pig (Sus scrofa) from an Australian island in the Torres Strait region. Veterinary Parasitology. 185(2-4). 343–345. 13 indexed citations
8.
Sando, Lillian, Roger Pearson, C. Gray, et al.. (2009). Bovine Muc1 is a highly polymorphic gene encoding an extensively glycosylated mucin that binds bacteria. Journal of Dairy Science. 92(10). 5276–5291. 51 indexed citations
9.
Gray, C., Tony Vuocolo, Roger Pearson, et al.. (2008). Identification of immune genes and proteins involved in the response of bovine mammary tissue to Staphylococcus aureus infection. BMC Veterinary Research. 4(1). 18–18. 100 indexed citations
10.
Jonsson, N.N. & C. Gray. (2007). Coccidiosis in Cattle: The role of hygiene and herbicides in its control. Queensland's institutional digital repository (The University of Queensland). 15(3). 263–266. 3 indexed citations
11.
Gray, C., T. D. St. George, & N.N. Jonsson. (2007). Milk fever in dairy cattle: A novel hypothesis for an immune mediated aetiology. Queensland's institutional digital repository (The University of Queensland). 15(3). 277–282. 10 indexed citations
12.
Vuocolo, Tony, C. Gray, Antônio Reverter, et al.. (2005). Construction and validation of a Bovine Innate Immune Microarray. BMC Genomics. 6(1). 135–135. 55 indexed citations
13.
14.
15.
Gray, C., Paolo Arosio, & Peter Hersey. (2003). Association of increased levels of heavy-chain ferritin with increased CD4+ CD25+ regulatory T-cell levels in patients with melanoma.. PubMed. 9(7). 2551–9. 87 indexed citations
16.
Gray, C., et al.. (2001). Immunosuppressive effects of melanoma-derived heavy-chain ferritin are dependent on stimulation of IL-10 production. International Journal of Cancer. 92(6). 843–850. 59 indexed citations
17.
Gray, C. & Wolfgang Keck. (1999). Bacterial targets and antibiotics: genome-based drug discovery. Cellular and Molecular Life Sciences. 56(9-10). 779–787. 13 indexed citations
18.
Lobato, Zélia Inês Portela, Barbara E.H. Coupar, C. Gray, Ross Lunt, & Marion E. Andrew. (1997). Antibody responses and protective immunity to recombinant vaccinia virus-expressed bluetongue virus antigens. Veterinary Immunology and Immunopathology. 59(3-4). 293–309. 53 indexed citations
19.
20.
Kaerner, H. C., et al.. (1981). Amplification of a short nucleotide sequence in the repeat units of defective herpes simplex virus type 1 Angelotti DNA. Journal of Virology. 39(1). 75–81. 26 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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