Christopher J. Day
Impact in
- Endocrinology top 1%
- Microbiology top 1%
Papers in
-
- Glycosylation and Glycoproteins Research 32
- Immunology 22
- Co-authors
- Michael P. Jennings (58 shared papers)Nigel A. Morrison (12 shared papers)Michael Kim (6 shared papers)Benjamin F. Hobbs (2 shared papers)Jong‐Shi Pang (2 shared papers)Victoria Korolik (24 shared papers)Evgeny A. Semchenko (17 shared papers)Lauren E. Hartley‐Tassell (31 shared papers)
- Journals
- mBio (12 papers)Scientific Reports (8 papers)Journal of Cellular Biochemistry (6 papers)Biochemical and Biophysical Research Communications (6 papers)PLoS ONE (4 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Christopher J. Day
117 papers receiving 4.8k citations
Christopher J. Day's Hit Papers
Peers
Comparison fields: 5 of 164
- Endocrinology 344
- Microbiology 383
- Immunology 765
- Infectious Diseases 649
- Molecular Biology 2.4k
Countries citing papers authored by Christopher J. Day
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
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-authors
The 25 scholars most cited alongside Christopher J. Day, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MCC950 directly targets the NLRP3 ATP-hydrolysis motif for inflammasome inhibition Hit paper breakdown → | 2019 | 737 |
| 2 | Oligopolistic competition in power networks: a conjectured supply function approach Hit paper breakdown → | 2002 | 357 |
| 3 | 2001 | 247 | |
| 4 | 2005 | 214 | |
| 5 | 2018 | 181 | |
| 6 | 2013 | 170 | |
| 7 | 2005 | 119 | |
| 8 | 2014 | 118 | |
| 9 | 2014 | 99 | |
| 10 | 2015 | 98 | |
| 11 | 2009 | 88 | |
| 12 | 2014 | 86 | |
| 13 | 2009 | 86 | |
| 14 | 2014 | 85 | |
| 15 | 2015 | 85 | |
| 16 | 2005 | 74 | |
| 17 | 2019 | 68 | |
| 18 | 2001 | 67 | |
| 19 | 2021 | 63 | |
| 20 | 2013 | 55 |
About Christopher J. Day
Christopher J. Day is a scholar working on Molecular Biology, Immunology, Microbiology, Food Science and Endocrinology, having authored 119 papers that have together received 4.9k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (32 papers), Salmonella and Campylobacter epidemiology (17 papers), Bacterial Infections and Vaccines (15 papers), Escherichia coli research studies (12 papers), Bacteriophages and microbial interactions (11 papers), Reproductive tract infections research (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Bacterial Genetics and Biotechnology (9 papers). The work is most often cited by research in Endocrinology (344 citations), Microbiology (383 citations), Immunology (765 citations), Infectious Diseases (649 citations) and Molecular Biology (2.4k citations). Christopher J. Day has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Michael P. Jennings, Nigel A. Morrison, Michael Kim, Benjamin F. Hobbs, Jong‐Shi Pang, Victoria Korolik, Evgeny A. Semchenko, Lauren E. Hartley‐Tassell, Joe Tiralongo and Mark von Itzstein. Their work appears in journals such as mBio, Scientific Reports, Journal of Cellular Biochemistry, Biochemical and Biophysical Research Communications and PLoS ONE.
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.