Edward Hurrell
Impact in
- Endocrinology top 1%
- Enterobacteriaceae and Cronobacter Research
- Physiology top 1%
- Adenosine and Purinergic Signaling
Papers in
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- Enterobacteriaceae and Cronobacter Research 5
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- Adenosine and Purinergic Signaling 4
- Alzheimer's disease research and treatments 1
- Co-authors
- Stephen James Forsythe (5 shared papers)Fiona H. Marshall (4 shared papers)Malcolm Weir (4 shared papers)Miles Congreve (4 shared papers)Stacy M. Townsend (3 shared papers)Nathan J. Robertson (3 shared papers)James C. Errey (3 shared papers)Kaspar Hollenstein (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (2 papers)Microbiology (2 papers)BMC Infectious Diseases (1 paper)MedChemComm (1 paper)Neuropharmacology (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Edward Hurrell
12 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 80
- Endocrinology 332
- Physiology 303
- Computational Theory and Mathematics 245
- Molecular Biology 755
- Molecular Medicine 31
Countries citing papers authored by Edward Hurrell
This map shows the geographic impact of Edward Hurrell'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 Edward Hurrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Hurrell more than expected).
Fields of papers citing papers by Edward Hurrell
This network shows the impact of papers produced by Edward Hurrell. 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 Edward Hurrell. The network helps show where Edward Hurrell may publish in the future.
Co-authors
The 25 scholars most cited alongside Edward Hurrell, 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 | 2011 | 490 | |
| 2 | 2012 | 281 | |
| 3 | 2010 | 142 | |
| 4 | 2012 | 122 | |
| 5 | 2007 | 114 | |
| 6 | 2008 | 113 | |
| 7 | 2009 | 112 | |
| 8 | 2009 | 92 | |
| 9 | 2020 | 89 | |
| 10 | 2021 | 74 | |
| 11 | 2008 | 60 | |
| 12 | 2014 | 24 |
About Edward Hurrell
Edward Hurrell is a scholar working on Endocrinology, Physiology, Computational Theory and Mathematics, Molecular Medicine and Nutrition and Dietetics, having authored 12 papers that have together received 1.7k indexed citations. Recurring topics across this work include Enterobacteriaceae and Cronobacter Research (5 papers), Adenosine and Purinergic Signaling (4 papers), Receptor Mechanisms and Signaling (3 papers), Computational Drug Discovery Methods (3 papers), Cholinesterase and Neurodegenerative Diseases (1 paper), Alzheimer's disease research and treatments (1 paper), Infant Nutrition and Health (1 paper) and Neonatal and Maternal Infections (1 paper). The work is most often cited by research in Endocrinology (332 citations), Physiology (303 citations), Computational Theory and Mathematics (245 citations), Molecular Biology (755 citations) and Molecular Medicine (31 citations). Edward Hurrell has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Stephen James Forsythe, Fiona H. Marshall, Malcolm Weir, Miles Congreve, Stacy M. Townsend, Nathan J. Robertson, James C. Errey, Kaspar Hollenstein, A.S. Dore and Irene W. Ng. Their work appears in journals such as Journal of Medicinal Chemistry, Microbiology, BMC Infectious Diseases, MedChemComm and Neuropharmacology.
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.