Jonathan Day
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Co-authors
- Nicholas J. Laping (9 shared papers)Kenneth M. Taylor (6 shared papers)Caleb E. Finch (7 shared papers)Nancy R. Nichols (4 shared papers)Steve A. Johnson (2 shared papers)Brian J. Whipp (1 shared paper)Harry B. Rossiter (1 shared paper)R. Clive Landis (4 shared papers)
- Journals
- Biology of Reproduction (5 papers)The Annals of Thoracic Surgery (4 papers)Neuroreport (2 papers)Blood (2 papers)Experimental Neurology (2 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Jonathan Day
69 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 132
- Developmental Neuroscience 228
- Neurology 312
- Behavioral Neuroscience 122
- Complementary and alternative medicine 248
- Cardiology and Cardiovascular Medicine 446
Countries citing papers authored by Jonathan Day
This map shows the geographic impact of Jonathan 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 Jonathan Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Day more than expected).
Fields of papers citing papers by Jonathan Day
This network shows the impact of papers produced by Jonathan 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 Jonathan Day. The network helps show where Jonathan Day may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 373 | |
| 2 | 1993 | 341 | |
| 3 | 2013 | 208 | |
| 4 | 2005 | 182 | |
| 5 | 2019 | 141 | |
| 6 | 1990 | 103 | |
| 7 | 1993 | 90 | |
| 8 | 1991 | 71 | |
| 9 | 2004 | 56 | |
| 10 | 2012 | 52 | |
| 11 | 2014 | 52 | |
| 12 | 1996 | 48 | |
| 13 | 1994 | 48 | |
| 14 | 1991 | 46 | |
| 15 | 2007 | 44 | |
| 16 | 1997 | 41 | |
| 17 | 2001 | 41 | |
| 18 | 2002 | 40 | |
| 19 | 1998 | 34 | |
| 20 | 2006 | 31 |
About Jonathan Day
Jonathan Day is a scholar working on Surgery, Genetics, Molecular Biology, Cardiology and Cardiovascular Medicine and Hematology, having authored 72 papers that have together received 2.7k indexed citations. Recurring topics across this work include Connective tissue disorders research (8 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Kawasaki Disease and Coronary Complications (4 papers), Clusterin in disease pathology (4 papers), S100 Proteins and Annexins (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Regulation of Appetite and Obesity (3 papers) and Stress Responses and Cortisol (3 papers). The work is most often cited by research in Developmental Neuroscience (228 citations), Neurology (312 citations), Behavioral Neuroscience (122 citations), Complementary and alternative medicine (248 citations) and Cardiology and Cardiovascular Medicine (446 citations). Jonathan Day has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Nicholas J. Laping, Kenneth M. Taylor, Caleb E. Finch, Nancy R. Nichols, Steve A. Johnson, Brian J. Whipp, Harry B. Rossiter, R. Clive Landis, Caleb E. Finch and Malcolm H. Taylor. Their work appears in journals such as Biology of Reproduction, The Annals of Thoracic Surgery, Neuroreport, Blood and Experimental Neurology.
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.