Christopher J. Day

6.4k total citations · 2 hit papers
118 papers, 4.8k citations indexed

About

Christopher J. Day is a scholar working on Molecular Biology, Immunology and Microbiology. According to data from OpenAlex, Christopher J. Day has authored 118 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 22 papers in Immunology and 19 papers in Microbiology. Recurrent topics in Christopher J. Day's work include Glycosylation and Glycoproteins Research (32 papers), Salmonella and Campylobacter epidemiology (18 papers) and Bacterial Infections and Vaccines (15 papers). Christopher J. Day is often cited by papers focused on Glycosylation and Glycoproteins Research (32 papers), Salmonella and Campylobacter epidemiology (18 papers) and Bacterial Infections and Vaccines (15 papers). Christopher J. Day collaborates with scholars based in Australia, United States and United Kingdom. Christopher J. Day's co-authors include Michael P. Jennings, Nigel A. Morrison, Michael Kim, Jong‐Shi Pang, Benjamin F. Hobbs, Victoria Korolik, Evgeny A. Semchenko, Lauren E. Hartley‐Tassell, Joe Tiralongo and Mark von Itzstein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Christopher J. Day

116 papers receiving 4.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MCC950 directly targets the NLRP3 ATP-hydrolysis motif for inflammasome inhibition

2019 704 citations Christopher J. Day, Michael P. Jennings et al. profile →
Oligopolistic competition in power networks: a conjectured supply function approach

2002 357 citations Christopher J. Day et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher J. Day Australia	33	2.4k	823	678	475	449	118	4.8k
Yi Wang China	37	2.5k 1.0×	1.1k 1.4×	1.2k 1.7×	179 0.4×	103 0.2×	263	5.7k
Quan Wang China	35	1.7k 0.7×	885 1.1×	697 1.0×	321 0.7×	62 0.1×	200	4.8k
Xin Deng China	38	5.2k 2.1×	256 0.3×	458 0.7×	145 0.3×	593 1.3×	180	7.4k
Hai Yu United States	53	6.3k 2.6×	1.2k 1.4×	355 0.5×	293 0.6×	111 0.2×	277	8.8k
Kimberly A. Kline United States	53	3.8k 1.6×	538 0.7×	865 1.3×	425 0.9×	72 0.2×	186	7.7k
Hongbin Song China	35	1.3k 0.5×	642 0.8×	717 1.1×	427 0.9×	65 0.1×	185	4.1k
Li Ding China	42	1.4k 0.6×	963 1.2×	727 1.1×	150 0.3×	92 0.2×	166	4.8k
Nurul‐Syakima Ab Mutalib Malaysia	40	2.7k 1.1×	675 0.8×	430 0.6×	888 1.9×	60 0.1×	128	5.1k
David B. Volkin United States	50	5.0k 2.0×	1.1k 1.3×	1.1k 1.6×	216 0.5×	67 0.1×	189	7.2k
Lin Guo China	29	2.2k 0.9×	702 0.9×	243 0.4×	237 0.5×	43 0.1×	87	3.8k

Countries citing papers authored by Christopher J. Day

Since Specialization

Citations

This map shows the geographic impact of Christopher J. Day'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. Day 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. Day more than expected).

Fields of papers citing papers by Christopher J. Day

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. Day. A scholar is included among the top collaborators of Christopher J. Day 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. Day. Christopher J. Day is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Oliveira, David M. P. De, Lauren E. Hartley‐Tassell, Christopher J. Day, et al.. (2025). Group A Streptococcus interacts with glycosaminoglycans via M proteins to modulate bacterial adherence in vitro. FEBS Journal. 292(20). 5540–5562. 1 indexed citations

Oliveira, David M. P. De, Lauren E. Hartley‐Tassell, Christopher J. Day, et al.. (2024). M proteins of group A Streptococcus bind hyaluronic acid via arginine–arginine/serine–arginine motifs. The FASEB Journal. 38(20). e70123–e70123. 2 indexed citations

Kishor, Chandan, Belinda L. Spillings, Corinne A. Lutomski, et al.. (2022). Calcium Contributes to Polarized Targeting of HIV Assembly Machinery by Regulating Complex Stability. SHILAP Revista de lepidopterología. 2(2). 522–530.

Shewell, Lucy K., et al.. (2022). Serum Neu5Gc biomarkers are elevated in primary cutaneous melanoma. Biochemical and Biophysical Research Communications. 642. 162–166. 12 indexed citations

Shewell, Lucy K., Christopher J. Day, Jamie R. Kutasovic, et al.. (2022). N-glycolylneuraminic acid serum biomarker levels are elevated in breast cancer patients at all stages of disease. BMC Cancer. 22(1). 334–334. 14 indexed citations

Jen, Freda E.‐C., Margaret R. Ketterer, Evgeny A. Semchenko, et al.. (2021). The Lst Sialyltransferase of Neisseria gonorrhoeae Can Transfer Keto-Deoxyoctanoate as the Terminal Sugar of Lipooligosaccharide: a Glyco-Achilles Heel That Provides a New Strategy for Vaccines to Prevent Gonorrhea. mBio. 12(2). 10 indexed citations

Andrianova, Ekaterina P., Lucy K. Shewell, Christopher J. Day, et al.. (2021). The Campylobacter jejuni chemoreceptor Tlp10 has a bimodal ligand-binding domain and specificity for multiple classes of chemoeffectors. Science Signaling. 14(664). 38 indexed citations

Poole, Jessica, Christopher J. Day, Thomas Haselhorst, et al.. (2020). Repurposed Drugs That Block the Gonococcus-Complement Receptor 3 Interaction Can Prevent and Cure Gonococcal Infection of Primary Human Cervical Epithelial Cells. mBio. 11(2). 22 indexed citations

Shewell, Lucy K., Christopher J. Day, Freda E.‐C. Jen, et al.. (2020). All major cholesterol-dependent cytolysins use glycans as cellular receptors. Science Advances. 6(21). eaaz4926–eaaz4926. 48 indexed citations

10.

Lubkin, Ashira, Tamara Reyes Robles, Christopher J. Day, et al.. (2020). Identification of a domain critical for Staphylococcus aureus LukED receptor targeting and lysis of erythrocytes. Journal of Biological Chemistry. 295(50). 17241–17250. 20 indexed citations

11.

Zalucki, Yaramah M., et al.. (2019). Efficient function of signal peptidase 1 of Escherichia coli is partly determined by residues in the mature N-terminus of exported proteins. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1861(5). 1018–1022. 7 indexed citations

12.

Sousa, Gregory L., Christopher J. Day, Chun-Feng David Hou, et al.. (2019). Solution structure, glycan specificity and of phenol oxidase inhibitory activity of Anopheles C-type lectins CTL4 and CTLMA2. Scientific Reports. 9(1). 15191–15191. 10 indexed citations

13.

Hartley‐Tassell, Lauren E., Christopher J. Day, Evgeny A. Semchenko, et al.. (2018). A peculiar case of Campylobacter jejuni attenuated aspartate chemosensory mutant, able to cause pathology and inflammation in avian and murine model animals. Scientific Reports. 8(1). 12594–12594. 7 indexed citations

14.

Day, Christopher J., Lauren E. Hartley‐Tassell, & Victoria Korolik. (2016). Identification of Ligand-Receptor Interactions: Ligand Molecular Arrays, SPR and NMR Methodologies. Methods in molecular biology. 1512. 51–63. 3 indexed citations

15.

Day, Christopher J., Rebecca M. King, Lucy K. Shewell, et al.. (2016). A direct-sensing galactose chemoreceptor recently evolved in invasive strains of Campylobacter jejuni. Nature Communications. 7(1). 13206–13206. 50 indexed citations

16.

Tiralongo, Joe, et al.. (2011). Differential carbohydrate binding and cell surface glycosylation of human cancer cell lines. Journal of Cellular Biochemistry. 112(9). 2230–2240. 46 indexed citations

17.

Kim, Michael, Christopher J. Day, & Nigel A. Morrison. (2005). MCP-1 Is Induced by Receptor Activator of Nuclear Factor-κB Ligand, Promotes Human Osteoclast Fusion, and Rescues Granulocyte Macrophage Colony-stimulating Factor Suppression of Osteoclast Formation. Journal of Biological Chemistry. 280(16). 16163–16169. 214 indexed citations

18.

Selinger, Christina, Christopher J. Day, & Nigel A. Morrison. (2005). Optimized transfection of diced siRNA into mature primary human osteoclasts: Inhibition of cathepsin K mediated bone resorption by siRNA. Journal of Cellular Biochemistry. 96(5). 996–1002. 15 indexed citations

19.

Mellick, Albert S., Christopher J. Day, Stephen R. Weinstein, Lyn R. Griffiths, & Nigel A. Morrison. (2002). Differential Gene Expression in Breast Cancer Cell Lines and Stroma-Tumour Differences in Microdissected Breast Cancer Biopsies Revealed by Display Array Analysis. Griffith Research Online (Griffith University, Queensland, Australia). 23 indexed citations

20.

Bunn, Derek W., John Bower, Christopher J. Day, & Kiriakos Vlahos. (1999). Strategic price risk in wholesale power markets. 9 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.

Explore authors with similar magnitude of impact