Ryan Day
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Glycosylation and Glycoproteins Research
- Microbial Metabolic Engineering and Bioproduction
- Materials Chemistry top 10%
- Enzyme Structure and Function
Papers in
-
- Protein Structure and Dynamics 18
- RNA and protein synthesis mechanisms 3
- Glycosylation and Glycoproteins Research 2
- S100 Proteins and Annexins 2
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- Enzyme Structure and Function 13
- Co-authors
- Valerie Daggett (11 shared papers)Angel E. Garcı́a (5 shared papers)Dietmar Paschek (2 shared papers)Sihyun Ham (1 shared paper)Brian J. Bennion (1 shared paper)Roger S. Armen (2 shared papers)David A. C. Beck (2 shared papers)Alan R. Fersht (3 shared papers)
- Journals
- Journal of Molecular Biology (5 papers)Proceedings of the National Academy of Sciences (3 papers)Protein Science (2 papers)PLoS ONE (2 papers)Proteins Structure Function and Bioinformatics (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Ryan Day
29 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 119
- Molecular Biology 1.2k
- Materials Chemistry 629
- Spectroscopy 180
- Cell Biology 104
- Neurology 45
Countries citing papers authored by Ryan Day
This map shows the geographic impact of Ryan 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 Ryan Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Day more than expected).
Fields of papers citing papers by Ryan Day
This network shows the impact of papers produced by Ryan 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 Ryan Day. The network helps show where Ryan Day may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 307 | |
| 2 | 2010 | 165 | |
| 3 | 2003 | 114 | |
| 4 | 2004 | 92 | |
| 5 | 2005 | 71 | |
| 6 | 2005 | 68 | |
| 7 | 2011 | 68 | |
| 8 | 2005 | 65 | |
| 9 | 2007 | 63 | |
| 10 | 2008 | 56 | |
| 11 | 2006 | 53 | |
| 12 | 2003 | 47 | |
| 13 | 2005 | 46 | |
| 14 | 2005 | 46 | |
| 15 | 2011 | 38 | |
| 16 | 2015 | 32 | |
| 17 | 2016 | 26 | |
| 18 | 2012 | 20 | |
| 19 | Nuclear uptake of an amino-terminal fragment of apolipoprotein E4 promotes cell death and localizes within microglia of the Alzheimer's disease brain. | 2017 | 18 |
| 20 | A DIRICHLET PROCESS MIXTURE OF HIDDEN MARKOV MODELS FOR PROTEIN STRUCTURE PREDICTION | 2010 | 14 |
About Ryan Day
Ryan Day is a scholar working on Molecular Biology, Materials Chemistry, Physiology, Spectroscopy and Neurology, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (18 papers), Enzyme Structure and Function (13 papers), Alzheimer's disease research and treatments (5 papers), Mass Spectrometry Techniques and Applications (3 papers), RNA and protein synthesis mechanisms (3 papers), Hemoglobin structure and function (3 papers), Glycosylation and Glycoproteins Research (2 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Materials Chemistry (629 citations), Spectroscopy (180 citations), Cell Biology (104 citations) and Neurology (45 citations). Ryan Day has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Valerie Daggett, Angel E. Garcı́a, Dietmar Paschek, Sihyun Ham, Brian J. Bennion, Roger S. Armen, David A. C. Beck, Alan R. Fersht, Stefano Gianni and Per Jemth. Their work appears in journals such as Journal of Molecular Biology, Proceedings of the National Academy of Sciences, Protein Science, PLoS ONE and Proteins Structure Function and Bioinformatics.
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.