Caroline Benn
Impact in
-
- Genetic Neurodegenerative Diseases
- Nephrology top 2%
- Gout, Hyperuricemia, Uric Acid
Papers in
-
- Mitochondrial Function and Pathology 9
- Ubiquitin and proteasome pathways 6
- Muscle Physiology and Disorders 5
-
- Genetic Neurodegenerative Diseases 14
- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Gillian P. Bates (8 shared papers)Clyde Chitty (3 shared papers)Ghazaleh Sadri‐Vakili (4 shared papers)George J. Yohrling (3 shared papers)Richard Storer (5 shared papers)Peter T. Loudon (1 shared paper)Derek P. DiRocco (3 shared papers)Andrew Pike (1 shared paper)
- Journals
- PLoS ONE (3 papers)MedChemComm (2 papers)Journal of Neuroscience (2 papers)Human Molecular Genetics (2 papers)Brain (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Caroline Benn
37 papers receiving 1.8k citations
Caroline Benn's Hit Papers
Peers
Comparison fields: 5 of 123
- Cellular and Molecular Neuroscience 942
- Nephrology 186
- Neurology 247
- Molecular Biology 1.1k
- Physiology 54
Countries citing papers authored by Caroline Benn
This map shows the geographic impact of Caroline Benn'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 Caroline Benn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Benn more than expected).
Fields of papers citing papers by Caroline Benn
This network shows the impact of papers produced by Caroline Benn. 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 Caroline Benn. The network helps show where Caroline Benn may publish in the future.
Co-authors
The 25 scholars most cited alongside Caroline Benn, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Physiology of Hyperuricemia and Urate-Lowering Treatments Hit paper breakdown → | 2018 | 233 |
| 2 | 2007 | 170 | |
| 3 | 2008 | 163 | |
| 4 | 2017 | 150 | |
| 5 | 2011 | 129 | |
| 6 | 2014 | 101 | |
| 7 | 2006 | 99 | |
| 8 | 2005 | 98 | |
| 9 | 2006 | 90 | |
| 10 | Thirty years on : is comprehensive education alive and well or struggling to survive? | 1996 | 78 |
| 11 | 2006 | 75 | |
| 12 | 2009 | 57 | |
| 13 | 2008 | 49 | |
| 14 | 2007 | 44 | |
| 15 | 2020 | 39 | |
| 16 | 2015 | 38 | |
| 17 | 2020 | 34 | |
| 18 | 2010 | 32 | |
| 19 | 2008 | 28 | |
| 20 | 1971 | 27 |
About Caroline Benn
Caroline Benn is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Education, Neurology and Nephrology, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (14 papers), Mitochondrial Function and Pathology (9 papers), Ubiquitin and proteasome pathways (6 papers), Muscle Physiology and Disorders (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Education Systems and Policy (4 papers), Gout, Hyperuricemia, Uric Acid (3 papers) and Neurological disorders and treatments (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (942 citations), Nephrology (186 citations), Neurology (247 citations), Molecular Biology (1.1k citations) and Physiology (54 citations). Caroline Benn has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Gillian P. Bates, Clyde Chitty, Ghazaleh Sadri‐Vakili, George J. Yohrling, Richard Storer, Peter T. Loudon, Derek P. DiRocco, Andrew Pike, Rachel Gurrell and Ciara Vangjeli. Their work appears in journals such as PLoS ONE, MedChemComm, Journal of Neuroscience, Human Molecular Genetics and Brain.
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.