Daniel C. Berwick

1.7k citations
18 papers · 1.4k · h-index 16

Impact in

  • Neurology top 2%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological diseases and metabolism
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Wnt/β-catenin signaling in development and cancer 4
    • Metabolism, Diabetes, and Cancer 3
    • Protein Kinase Regulation and GTPase Signaling 3
    • Ubiquitin and proteasome pathways 2
    • Parkinson's Disease Mechanisms and Treatments 10
    • Neurological diseases and metabolism 5

Daniel C. Berwick

18 papers receiving 1.4k citations

Peers

Daniel C. Berwick
Comparison fields: 5 of 82
  • Neurology 433
  • Neurology 123
  • Cancer Research 200
  • Cell Biology 215
  • Cellular and Molecular Neuroscience 227
Replace Nicoleta Moisoi with:
Nicoleta Moisoi United Kingdom
Jee Young Sung South Korea
Hyun Jin Cho South Korea
Rodrigo A. Fuentealba Chile
Irina Lonskaya United States
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Bettina Brunner Germany
Maria Nguyen Australia
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Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Daniel C. Berwick

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Daniel C. Berwick Line = papers co-authored together Daniel C. Berwick links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2002318
2 2004120
3 2012116
4 2019112
5 2013108
6 2005104
7 201286
8 201170
9 201361
10 201653
11 201747
12 201745
13 200443
14 202139
15 201920
16 201320
17 200814
18 201011

About Daniel C. Berwick

Daniel C. Berwick is a scholar working on Molecular Biology, Neurology, Neurology, Physiology 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 (4 papers), Alzheimer's disease research and treatments (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Ubiquitin and proteasome pathways (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Neurology (433 citations), Neurology (123 citations), Cancer Research (200 citations), Cell Biology (215 citations) and Cellular and Molecular Neuroscience (227 citations). Daniel C. Berwick has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Kirsten Harvey, Ingeborg Hers, Kate J. Heesom, S K Moule, Jeremy M. Tavaré, George R. Heaton, Gavin I. Welsh, Simone Grannò, Jonathon Nixon‐Abell and Frank T. Cooke. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Society Transactions, Molecular Neurodegeneration, Scientific Reports and Journal of Cell Science.

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.

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