John Day
Impact in
- Biotechnology top 2%
- Enzyme Production and Characterization
- Structural Biology top 10%
Papers in
-
- Protein Structure and Dynamics 12
- Glycosylation and Glycoproteins Research 5
-
- Enzyme Structure and Function 26
- Crystallization and Solubility Studies 8
- Co-authors
- Alexander McPherson (49 shared papers)Steven B. Larson (27 shared papers)Aaron Greenwood (18 shared papers)Tzu‐Ping Ko (5 shared papers)Karl W. Hasel (3 shared papers)Duilio Cascio (3 shared papers)Mary A. Canady (4 shared papers)S. Koszelak (4 shared papers)
- Journals
- Journal of Molecular Biology (8 papers)Acta Crystallographica Section B Structural Science (3 papers)Biochemistry (3 papers)Crystal Growth & Design (2 papers)Biophysical Journal (2 papers)
- Partner nations
- United StatesTaiwanGermany
In The Last Decade
John Day
53 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 108
- Biotechnology 256
- Structural Biology 24
- Molecular Biology 1.0k
- Materials Chemistry 513
- Ecology 282
Countries citing papers authored by John Day
This map shows the geographic impact of John 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 John Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Day more than expected).
Fields of papers citing papers by John Day
This network shows the impact of papers produced by John 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 John Day. The network helps show where John Day may publish in the future.
Co-authors
The 25 scholars most cited alongside John 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 237 | |
| 2 | 1992 | 158 | |
| 3 | 1994 | 140 | |
| 4 | 1996 | 101 | |
| 5 | 1998 | 97 | |
| 6 | 1994 | 87 | |
| 7 | 1993 | 85 | |
| 8 | 1994 | 79 | |
| 9 | 1986 | 79 | |
| 10 | 1992 | 64 | |
| 11 | 1995 | 61 | |
| 12 | 2003 | 60 | |
| 13 | 2010 | 51 | |
| 14 | 1999 | 47 | |
| 15 | 2000 | 46 | |
| 16 | 1997 | 42 | |
| 17 | 2007 | 30 | |
| 18 | 1986 | 20 | |
| 19 | 1991 | 18 | |
| 20 | 2001 | 17 |
About John Day
John Day is a scholar working on Molecular Biology, Materials Chemistry, Ecology, Plant Science and Radiology, Nuclear Medicine and Imaging, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Enzyme Structure and Function (26 papers), Protein Structure and Dynamics (12 papers), Bacteriophages and microbial interactions (12 papers), Plant Virus Research Studies (10 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Enzyme Production and Characterization (8 papers), Crystallization and Solubility Studies (8 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Biotechnology (256 citations), Structural Biology (24 citations), Molecular Biology (1.0k citations), Materials Chemistry (513 citations) and Ecology (282 citations). John Day has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Alexander McPherson, Steven B. Larson, Aaron Greenwood, Tzu‐Ping Ko, Karl W. Hasel, Duilio Cascio, Mary A. Canady, S. Koszelak, Robert Cudney and Lisa J. Harris. Their work appears in journals such as Journal of Molecular Biology, Acta Crystallographica Section B Structural Science, Biochemistry, Crystal Growth & Design and Biophysical Journal.
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.