Daniel C. Berwick

1.7k total citations
18 papers, 1.4k citations indexed

About

Daniel C. Berwick is a scholar working on Molecular Biology, Neurology and Neurology. According to data from OpenAlex, Daniel C. Berwick has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Neurology and 5 papers in Neurology. Recurrent topics in Daniel C. Berwick's work include Parkinson's Disease Mechanisms and Treatments (10 papers), Neurological diseases and metabolism (5 papers) and Wnt/β-catenin signaling in development and cancer (5 papers). Daniel C. Berwick is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (10 papers), Neurological diseases and metabolism (5 papers) and Wnt/β-catenin signaling in development and cancer (5 papers). Daniel C. Berwick collaborates with scholars based in United Kingdom, United States and Belgium. Daniel C. Berwick's 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 Ghislaine Dell and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Brain Research.

In The Last Decade

Daniel C. Berwick

18 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel C. Berwick United Kingdom	16	853	433	237	233	227	18	1.4k
Jee Young Sung South Korea	19	888 1.0×	416 1.0×	316 1.3×	391 1.7×	349 1.5×	39	1.8k
Hyun Jin Cho South Korea	19	736 0.9×	331 0.8×	414 1.7×	220 0.9×	169 0.7×	27	1.4k
Ifat Bar-Joseph United States	10	615 0.7×	497 1.1×	300 1.3×	339 1.5×	223 1.0×	12	1.3k
Kazuo Fushimi Japan	20	1.3k 1.6×	647 1.5×	293 1.2×	172 0.7×	120 0.5×	35	2.0k
David G. Campbell United Kingdom	18	1.9k 2.2×	448 1.0×	271 1.1×	360 1.5×	406 1.8×	18	2.5k
Rodrigo A. Fuentealba Chile	11	801 0.9×	299 0.7×	404 1.7×	336 1.4×	259 1.1×	14	1.4k
Eric Duplan France	19	693 0.8×	171 0.4×	325 1.4×	185 0.8×	207 0.9×	28	1.3k
Steven Callaghan Canada	12	1.0k 1.2×	177 0.4×	157 0.7×	299 1.3×	370 1.6×	15	1.6k
Xingli Li United States	18	905 1.1×	496 1.1×	126 0.5×	164 0.7×	218 1.0×	30	1.4k
Jayne Marasa United States	18	881 1.0×	262 0.6×	529 2.2×	331 1.4×	291 1.3×	26	1.7k

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-authorship network of co-authors of Daniel C. Berwick

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Berwick. A scholar is included among the top collaborators of Daniel C. Berwick based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel C. Berwick. Daniel C. Berwick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Berwick, Daniel C., et al.. (2021). The development of inhibitors of leucine‐rich repeat kinase 2 (LRRK2) as a therapeutic strategy for Parkinson's disease: the current state of play. British Journal of Pharmacology. 179(8). 1478–1495. 38 indexed citations

Berwick, Daniel C., et al.. (2019). LRRK2 Biology from structure to dysfunction: research progresses, but the themes remain the same. Molecular Neurodegeneration. 14(1). 49–49. 109 indexed citations

Grannò, Simone, Jonathon Nixon‐Abell, Daniel C. Berwick, et al.. (2019). Downregulated Wnt/β-catenin signalling in the Down syndrome hippocampus. Scientific Reports. 9(1). 7322–7322. 19 indexed citations

Mazucanti, Caio Henrique, et al.. (2017). The relevance of α-KLOTHO to the central nervous system: Some key questions. Ageing Research Reviews. 36. 137–148. 43 indexed citations

Berwick, Daniel C., Behzâd Javaheri, Andrea Wetzel, et al.. (2017). Pathogenic LRRK2 variants are gain-of-function mutations that enhance LRRK2-mediated repression of β-catenin signaling. Molecular Neurodegeneration. 12(1). 9–9. 46 indexed citations

Nixon‐Abell, Jonathon, et al.. (2016). Protective LRRK2 R1398H Variant Enhances GTPase and Wnt Signaling Activity. Frontiers in Molecular Neuroscience. 9. 18–18. 53 indexed citations

Berwick, Daniel C. & Kirsten Harvey. (2013). The regulation and deregulation of Wnt signaling by PARK genes in health and disease. Journal of Molecular Cell Biology. 6(1). 3–12. 61 indexed citations

Law, Bernard M. H., Ruth Chia, Alexandra Beilina, et al.. (2013). A Direct Interaction between Leucine-rich Repeat Kinase 2 and Specific β-Tubulin Isoforms Regulates Tubulin Acetylation. Journal of Biological Chemistry. 289(2). 895–908. 107 indexed citations

Berwick, Daniel C. & Kirsten Harvey. (2013). LRRK2: an éminence grise of Wnt-mediated neurogenesis?. Frontiers in Cellular Neuroscience. 7. 20 indexed citations

10.

Berwick, Daniel C. & Kirsten Harvey. (2012). LRRK2 functions as a Wnt signaling scaffold, bridging cytosolic proteins and membrane-localized LRP6. Human Molecular Genetics. 21(22). 4966–4979. 85 indexed citations

11.

Berwick, Daniel C. & Kirsten Harvey. (2012). The importance of Wnt signalling for neurodegeneration in Parkinson's disease. Biochemical Society Transactions. 40(5). 1123–1128. 116 indexed citations

12.

Berwick, Daniel C. & Kirsten Harvey. (2011). LRRK2 signaling pathways: the key to unlocking neurodegeneration?. Trends in Cell Biology. 21(5). 257–265. 70 indexed citations

13.

Berwick, Daniel C., James K.J. Diss, Vishwanie Budhram‐Mahadeo, & David S. Latchman. (2010). A Simple Technique for the Prediction of Interacting Proteins Reveals a Direct Brn-3a-Androgen Receptor Interaction. Journal of Biological Chemistry. 285(20). 15286–15295. 11 indexed citations

14.

Berwick, Daniel C., et al.. (2008). Regulation Of Brn-3a N-terminal transcriptional activity by MEK1/2-ERK1/2 signalling in neural differentiation. Brain Research. 1256. 8–18. 13 indexed citations

15.

Welsh, Gavin I., et al.. (2005). Role of protein kinase B in insulin-regulated glucose uptake. Biochemical Society Transactions. 33(2). 346–349. 104 indexed citations

16.

Berwick, Daniel C., Ghislaine Dell, Gavin I. Welsh, et al.. (2004). Protein kinase B phosphorylation of PIKfyve regulates the trafficking of GLUT4 vesicles. Journal of Cell Science. 117(25). 5985–5993. 120 indexed citations

17.

Berwick, Daniel C. & Jeremy M. Tavaré. (2004). Identifying protein kinase substrates: hunting for the organ-grinder's monkeys. Trends in Biochemical Sciences. 29(5). 227–232. 43 indexed citations

18.

Berwick, Daniel C., et al.. (2002). The Identification of ATP-citrate Lyase as a Protein Kinase B (Akt) Substrate in Primary Adipocytes. Journal of Biological Chemistry. 277(37). 33895–33900. 317 indexed citations

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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