Nicolas Dzamko

5.9k total citations
75 papers, 4.5k citations indexed

About

Nicolas Dzamko is a scholar working on Neurology, Physiology and Molecular Biology. According to data from OpenAlex, Nicolas Dzamko has authored 75 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Neurology, 30 papers in Physiology and 29 papers in Molecular Biology. Recurrent topics in Nicolas Dzamko's work include Parkinson's Disease Mechanisms and Treatments (53 papers), Lysosomal Storage Disorders Research (15 papers) and Cellular transport and secretion (12 papers). Nicolas Dzamko is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (53 papers), Lysosomal Storage Disorders Research (15 papers) and Cellular transport and secretion (12 papers). Nicolas Dzamko collaborates with scholars based in Australia, United States and United Kingdom. Nicolas Dzamko's co-authors include Glenda M. Halliday, Dario R. Alessi, Gregory R. Steinberg, Alan R. Prescott, R. Jeremy Nichols, Mária Deák, Dominic B. Rowe, Gayathri Perera, Bruce E. Kemp and Matthew J. Watt and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Nature Medicine.

In The Last Decade

Nicolas Dzamko

68 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Dzamko Australia 35 2.2k 2.1k 1.5k 689 625 75 4.5k
Woojin S. Kim Australia 38 1.5k 0.7× 1.9k 0.9× 1.8k 1.2× 680 1.0× 712 1.1× 121 4.7k
Seiji Kikuchi Japan 45 1.2k 0.6× 1.6k 0.7× 728 0.5× 507 0.7× 834 1.3× 169 6.0k
Paul R. Heath United Kingdom 48 2.5k 1.2× 3.3k 1.6× 1.3k 0.9× 1.3k 1.8× 972 1.6× 131 6.7k
Andrew G. Reaume United States 28 1.7k 0.8× 3.8k 1.8× 1.3k 0.9× 849 1.2× 730 1.2× 40 6.5k
Denis Soulet Canada 31 1.4k 0.7× 2.0k 1.0× 1.4k 0.9× 1.6k 2.3× 1.4k 2.3× 65 5.3k
Paul Fernyhough Canada 50 1.0k 0.5× 2.2k 1.0× 2.9k 2.0× 467 0.7× 2.3k 3.7× 136 6.3k
Frank Gillardon Germany 37 1.5k 0.7× 2.2k 1.0× 1.0k 0.7× 752 1.1× 1.5k 2.3× 98 4.6k
Linda Greensmith United Kingdom 47 3.3k 1.5× 3.7k 1.7× 919 0.6× 785 1.1× 2.6k 4.2× 152 7.8k
Laurence A. Bindoff Norway 48 878 0.4× 6.3k 3.0× 696 0.5× 643 0.9× 1.4k 2.3× 187 8.0k
Jun‐ichi Satoh Japan 42 727 0.3× 2.3k 1.1× 906 0.6× 1.4k 2.0× 902 1.4× 181 5.3k

Countries citing papers authored by Nicolas Dzamko

Since Specialization
Citations

This map shows the geographic impact of Nicolas Dzamko'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 Nicolas Dzamko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Dzamko more than expected).

Fields of papers citing papers by Nicolas Dzamko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolas Dzamko. 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 Nicolas Dzamko. The network helps show where Nicolas Dzamko may publish in the future.

Co-authorship network of co-authors of Nicolas Dzamko

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Dzamko. A scholar is included among the top collaborators of Nicolas Dzamko 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 Nicolas Dzamko. Nicolas Dzamko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wallings, Rebecca L., Julian Agin‐Liebes, Roy N. Alcalay, et al.. (2025). Interferon gamma stimulates coordinated changes in LRRK2, GCase, and cathepsin activities in idiopathic and genetic Parkinson’s disease monocytes. npj Parkinson s Disease. 11(1). 337–337.
2.
Fu, YuHong, et al.. (2025). Human Endogenous Retrovirus K in Astrocytes Is Altered in Parkinson's Disease. Movement Disorders. 40(4). 683–692. 3 indexed citations
3.
4.
Fu, YuHong, Russell Pickford, Qi Cheng, et al.. (2025). Dysregulation of Monounsaturated Fatty Acids is Related to α‐Synuclein in Multiple System Atrophy. Movement Disorders. 40(9). 1940–1950. 1 indexed citations
5.
Fu, YuHong, Russell Pickford, Jasmin Galper, et al.. (2024). A protective role of ABCA5 in response to elevated sphingomyelin levels in Parkinson’s disease. npj Parkinson s Disease. 10(1). 20–20. 9 indexed citations
6.
Galper, Jasmin, Giorgia Mori, Gordon McDonald, et al.. (2024). Prediction of motor and non-motor Parkinson’s disease symptoms using serum lipidomics and machine learning: a 2-year study. npj Parkinson s Disease. 10(1). 123–123. 5 indexed citations
7.
Kenche, Vijaya B., Daryan Kempe, Maté Biro, et al.. (2024). Single-Molecule Fingerprinting Reveals Different Growth Mechanisms in Seed Amplification Assays for Different Polymorphs of α-Synuclein Fibrils. ACS Chemical Neuroscience. 15(18). 3270–3285. 2 indexed citations
8.
Trist, Benjamin G., Alejandra Rangel, Louise Cottle, et al.. (2024). Novel tools to quantify total, phospho-Ser129 and aggregated alpha-synuclein in the mouse brain. npj Parkinson s Disease. 10(1). 217–217.
9.
Dzamko, Nicolas. (2023). Cytokine activity in Parkinson’s disease. PubMed. 7(4). NS20220063–NS20220063. 20 indexed citations
10.
Fu, YuHong, Ying He, Katherine Phan, et al.. (2022). Increased unsaturated lipids underlie lipid peroxidation in synucleinopathy brain. Acta Neuropathologica Communications. 10(1). 165–165. 31 indexed citations
11.
Galper, Jasmin, Woojin S. Kim, & Nicolas Dzamko. (2022). LRRK2 and Lipid Pathways: Implications for Parkinson’s Disease. Biomolecules. 12(11). 1597–1597. 12 indexed citations
12.
Phan, Katherine, Ying He, Surabhi Bhatia, et al.. (2022). Multiple pathways of lipid dysregulation in amyotrophic lateral sclerosis. Brain Communications. 5(1). fcac340–fcac340. 18 indexed citations
13.
Fu, YuHong, Ying He, Katherine Phan, et al.. (2022). Sex-specific lipid dysregulation in the Abca7 knockout mouse brain. Brain Communications. 4(3). fcac120–fcac120. 5 indexed citations
14.
Galper, Jasmin, Russell Pickford, Simon J.G. Lewis, et al.. (2022). Lipid pathway dysfunction is prevalent in patients with Parkinson’s disease. Brain. 145(10). 3472–3487. 77 indexed citations
15.
Ysselstein, Daniel, Tiffany Young, Maria Nguyen, et al.. (2021). Evaluation of Strategies for Measuring Lysosomal Glucocerebrosidase Activity. Movement Disorders. 36(12). 2719–2730. 29 indexed citations
16.
Phan, Katherine, Ying He, YuHong Fu, et al.. (2021). Pathological manifestation of human endogenous retrovirus K in frontotemporal dementia. SHILAP Revista de lepidopterología. 1(1). 22 indexed citations
17.
Atashrazm, Farzaneh, Gayathri Perera, Carol Dobson‐Stone, et al.. (2018). Reduced glucocerebrosidase activity in monocytes from patients with Parkinson’s disease. Scientific Reports. 8(1). 15446–15446. 90 indexed citations
18.
Deng, Xianming, Nicolas Dzamko, Alan R. Prescott, et al.. (2011). Characterization of a selective inhibitor of the Parkinson's disease kinase LRRK2. Nature Chemical Biology. 7(4). 203–205. 340 indexed citations
19.
Steinberg, Gregory R., Hayley M. O’Neill, Nicolas Dzamko, et al.. (2010). Whole Body Deletion of AMP-activated Protein Kinase β2 Reduces Muscle AMPK Activity and Exercise Capacity. Journal of Biological Chemistry. 285(48). 37198–37209. 138 indexed citations
20.
Dzamko, Nicolas & Gregory R. Steinberg. (2009). AMPK‐dependent hormonal regulation of whole‐body energy metabolism. Acta Physiologica. 196(1). 115–127. 71 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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