Daniel C. Berwick

1.7k citations
23 papers · 1.5k · h-index 16

Impact in

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

Papers in

Daniel C. Berwick

23 papers receiving 1.5k citations

Peers

Daniel C. Berwick
Comparison fields: 5 of 67
  • Neurology 564
  • Cancer Research 174
  • Developmental Neuroscience 36
  • Cell Biology 115
  • Molecular Biology 483
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Nicoleta Moisoi United Kingdom
Arezu Jahani‐Asl Canada
Scott P. Allen United Kingdom
Julia Catherine Fitzgerald Germany
David G. Campbell United Kingdom
Maria Nga Nguyen Australia
Rajappa S. Kenchappa United States
Setsuko Noda Japan
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Citations per field
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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

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002319
2 2019125
3 2012120
4 2013120
5 2004118
6 2005105
7 201294
8 201178
9 201363
10 201660
11 201749
12 201749
13 202147
14 200446
15 201324
16 201921
17 201615
18
L'RRK de Triomphe: a solution for LRRK2 GTPase activity?
201615
19 200814
20 201011

About Daniel C. Berwick

Daniel C. Berwick is a scholar working on Neurology, Developmental Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (13 papers), Metabolism, Diabetes, and Cancer (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Developmental Biology and Gene Regulation (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Reproductive System and Pregnancy (1 paper), Down syndrome and intellectual disability research (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Neurology (564 citations), Cancer Research (174 citations), Developmental Neuroscience (36 citations), Cell Biology (115 citations) and Molecular Biology (483 citations). Daniel C. Berwick has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Kirsten Harvey, Ingeborg Hers, Kate J. Heesom, S. Kelly MOULE, Jeremy M. Tavaré, Gavin Iain Welsh, Jonathon Nixon‐Abell, Simone Grannò, Ghislaine C. Dell and Laura M. Fletcher. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Society Transactions, British Journal of Pharmacology, Molecular Neurodegeneration and Journal of Molecular Cell Biology.

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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