Richard N. Day
- Biophysics top 0.05%
- Advanced Fluorescence Microscopy Techniques 44
- Cell Image Analysis Techniques 10
- Structural Biology top 1%
- Molecular Biology top 2%
- Retinoids in leukemia and cellular processes 14
- Photosynthetic Processes and Mechanisms 10
- RNA Research and Splicing 9
- Cell Biology top 2%
- Biotin and Related Studies 11
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- Growth Hormone and Insulin-like Growth Factors 17
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- Estrogen and related hormone effects 12
- Co-authors
- Michael W. DavidsonAmmasi PeriasamyFred SchaufeleRichard A. MaurerPaula J. CranfillMasilamani ElangovanYuansheng SunMichelle A. Baird
- Journals
- Chemical Society Reviews (1 paper)Journal of Biological Chemistry (8 papers)Nature Biotechnology (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Richard N. Day
98 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Biophysics 1.7k
- Structural Biology 158
- Molecular Biology 3.6k
- Cell Biology 754
- Endocrinology, Diabetes and Metabolism 693
Countries citing papers authored by Richard N. Day
This map shows the geographic impact of Richard N. 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 Richard N. Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard N. Day more than expected).
Fields of papers citing papers by Richard N. Day
This network shows the impact of papers produced by Richard N. 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 Richard N. Day. The network helps show where Richard N. Day may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richard N. 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 | 2020 | 9 | |
| 2 | 2019 | 36 | |
| 3 | 2015 | 12 | |
| 4 | 2013 | 31 | |
| 5 | 2012 | 52 | |
| 6 | 2012 | 84 | |
| 7 | 2011 | 213 | |
| 8 | 2009 | 51 | |
| 9 | 2006 | 22 | |
| 10 | 2005 | 9 | |
| 11 | 2005 | 5 | |
| 12 | 2002 | 46 | |
| 13 | 2001 | 170 | |
| 14 | 1999 | 24 | |
| 15 | 1998 | 97 | |
| 16 | 1996 | 16 | |
| 17 | 1996 | 38 | |
| 18 | 1989 | 90 | |
| 19 | 1989 | 45 | |
| 20 | 1988 | 3 |
About Richard N. Day
Richard N. Day is a scholar working on Biophysics, Structural Biology and Endocrinology, Diabetes and Metabolism, having authored 98 papers that have together received 5.7k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (44 papers), Growth Hormone and Insulin-like Growth Factors (17 papers), Retinoids in leukemia and cellular processes (14 papers), Estrogen and related hormone effects (12 papers), Biotin and Related Studies (11 papers), Cell Image Analysis Techniques (10 papers), Photosynthetic Processes and Mechanisms (10 papers) and RNA Research and Splicing (9 papers). The work is most often cited by research in Biophysics (1.7k citations), Structural Biology (158 citations) and Molecular Biology (3.6k citations). Richard N. Day has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Michael W. Davidson, Ammasi Periasamy, Ammasi Periasamy, Fred Schaufele, Richard A. Maurer, Paula J. Cranfill, Masilamani Elangovan, Yuansheng Sun, Michelle A. Baird and R A Maurer. Their work appears in journals such as Chemical Society Reviews, Journal of Biological Chemistry and Nature Biotechnology.
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.