Craig W. Day
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research 5
- Viral Infections and Vectors 4
- Immunology top 10%
- interferon and immune responses 4
- Epidemiology top 10%
- Influenza Virus Research Studies 6
- Respiratory viral infections research 4
- Herpesvirus Infections and Treatments 3
- Animal Science and Zoology top 5%
- Organic Chemistry top 10%
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- Biochemical and Molecular Research 4
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- Mosquito-borne diseases and control 3
- Co-authors
- Donald F. SmeeRobert W. SidwellJohn D. MorreyDale L. BarnardKevin W. BaileyRobert A. MontgomeryJustin G. JulanderBrett L. Hurst
- Journals
- Journal of the American Chemical Society (1 paper)Biochemical and Biophysical Research Communications (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Craig W. Day
29 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 110
- Infectious Diseases 673
- Immunology 263
- Epidemiology 373
- Animal Science and Zoology 92
- Organic Chemistry 248
Countries citing papers authored by Craig W. Day
This map shows the geographic impact of Craig W. 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 Craig W. Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig W. Day more than expected).
Fields of papers citing papers by Craig W. Day
This network shows the impact of papers produced by Craig W. 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 Craig W. Day. The network helps show where Craig W. Day may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Craig W. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 26 | |
| 2 | 2017 | 49 | |
| 3 | 2016 | 0 | |
| 4 | 2016 | 54 | |
| 5 | 2016 | 34 | |
| 6 | Influenza Virus H1N1 inhibition by serine protease inhibitor (serpin) antithrombin III. | 2014 | 8 |
| 7 | 2013 | 88 | |
| 8 | 2012 | 5 | |
| 9 | 2012 | 116 | |
| 10 | 2012 | 30 | |
| 11 | 2012 | 6 | |
| 12 | 2011 | 31 | |
| 13 | 2010 | 8 | |
| 14 | 2010 | 267 | |
| 15 | 2009 | 118 | |
| 16 | 2008 | 14 | |
| 17 | 2008 | 22 | |
| 18 | 2006 | 85 | |
| 19 | 2004 | 36 | |
| 20 | 2004 | 30 |
About Craig W. Day
Craig W. Day is a scholar working on Infectious Diseases, Biological Psychiatry and Epidemiology, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Respiratory viral infections research (4 papers), Biochemical and Molecular Research (4 papers), interferon and immune responses (4 papers), Viral Infections and Vectors (4 papers), Mosquito-borne diseases and control (3 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Infectious Diseases (673 citations), Immunology (263 citations) and Epidemiology (373 citations). Craig W. Day has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Donald F. Smee, Robert W. Sidwell, John D. Morrey, Dale L. Barnard, Kevin W. Bailey, Dale L. Barnard, Robert A. Montgomery, Justin G. Julander, Brett L. Hurst and Yohichi Kumaki. Their work appears in journals such as Journal of the American Chemical Society, Biochemical and Biophysical Research Communications and Antimicrobial Agents and Chemotherapy.
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.