Daniel C. Berwick
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments 10
- Neurological diseases and metabolism 5
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments 10
- Neurological diseases and metabolism 5
- Cell Biology top 5%
- Skin and Cellular Biology Research 2
- Cancer Research top 10%
-
- Wnt/β-catenin signaling in development and cancer 5
- Protein Kinase Regulation and GTPase Signaling 3
- Metabolism, Diabetes, and Cancer 3
- Ubiquitin and proteasome pathways 2
-
- Alzheimer's disease research and treatments 3
- Co-authors
- Kirsten HarveyIngeborg HersKate J. HeesomS K MouleJeremy M. TavaréGeorge R. HeatonGavin I. WelshJonathon Nixon‐Abell
- Cited by
- NeurologyCell Biology
- Journals
- Journal of Biological Chemistry (3 papers)Molecular Neurodegeneration (2 papers)Biochemical Society Transactions (2 papers)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Daniel C. Berwick
18 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 86
- Neurology 433
- Neurology 130
- Cell Biology 227
- Cancer Research 204
- Cellular and Molecular Neuroscience 233
Countries citing papers authored by Daniel C. Berwick
This map shows the geographic impact of Daniel C. Berwick'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 Daniel C. Berwick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Berwick more than expected).
Fields of papers citing papers by Daniel C. Berwick
This network shows the impact of papers produced by Daniel C. Berwick. 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 Daniel C. Berwick. The network helps show where Daniel C. Berwick may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel C. Berwick, 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 | 2021 | 38 | |
| 2 | 2019 | 109 | |
| 3 | 2019 | 19 | |
| 4 | 2017 | 46 | |
| 5 | 2017 | 43 | |
| 6 | 2016 | 53 | |
| 7 | 2013 | 61 | |
| 8 | 2013 | 107 | |
| 9 | 2013 | 20 | |
| 10 | 2012 | 85 | |
| 11 | 2012 | 116 | |
| 12 | 2011 | 70 | |
| 13 | 2010 | 11 | |
| 14 | 2008 | 13 | |
| 15 | 2005 | 104 | |
| 16 | 2004 | 120 | |
| 17 | 2004 | 43 | |
| 18 | 2002 | 317 |
About Daniel C. Berwick
Daniel C. Berwick is a scholar working on Neurology, Neurology and Cell Biology, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (10 papers), Neurological diseases and metabolism (5 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Alzheimer's disease research and treatments (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Skin and Cellular Biology Research (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Neurology (433 citations), Neurology (130 citations) and Cell Biology (227 citations). Daniel C. Berwick has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Kirsten Harvey, Ingeborg Hers, Kate J. Heesom, S K Moule, Jeremy M. Tavaré, George R. Heaton, Gavin I. Welsh, Jonathon Nixon‐Abell, Simone Grannò and Frank T. Cooke. Their work appears in journals such as Journal of Biological Chemistry, Molecular Neurodegeneration, Biochemical Society Transactions, Frontiers in Cellular Neuroscience and Scientific Reports.
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.