Mark Cookson

53.7k total citations · 7 hit papers
258 papers, 24.9k citations indexed

About

Mark Cookson is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mark Cookson has authored 258 papers receiving a total of 24.9k indexed citations (citations by other indexed papers that have themselves been cited), including 179 papers in Neurology, 116 papers in Molecular Biology and 71 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mark Cookson's work include Parkinson's Disease Mechanisms and Treatments (159 papers), Neurological diseases and metabolism (36 papers) and Alzheimer's disease research and treatments (36 papers). Mark Cookson is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (159 papers), Neurological diseases and metabolism (36 papers) and Alzheimer's disease research and treatments (36 papers). Mark Cookson collaborates with scholars based in United States, United Kingdom and Italy. Mark Cookson's co-authors include Alexandra Beilina, Elisa Greggio, John Hardy, Andrew Singleton, Jie Shen, David W. Miller, Richard J. Youle, Derek P. Narendra, Atsushi Tanaka and Clément Gautier and has published in prestigious journals such as New England Journal of Medicine, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Mark Cookson

258 papers receiving 24.6k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PINK1 Is Selectively Stabilized on Impaired Mitochondria to Activate Parkin

2010 2.3k citations Derek P. Narendra, Seok Min Jin et al. PLoS Biology profile →
The Parkinson's disease protein DJ-1 is neuroprotective due to cysteine-sulfinic acid-driven mitochondrial localization

2004 878 citations Mark Cookson et al. Proceedings of the National Academy of Sciences profile →
Hallmarks of neurodegenerative diseases

2023 875 citations Mark Cookson et al. profile →
Kinase activity is required for the toxic effects of mutant LRRK2/dardarin

2006 591 citations Elisa Greggio, Rina Bandopadhyay et al. profile →
Abundant Quantitative Trait Loci Exist for DNA Methylation and Gene Expression in Human Brain

2010 536 citations J. Raphael Gibbs, Marcel P. van der Brug et al. profile →
THE BIOCHEMISTRY OF PARKINSON'S DISEASE

2005 524 citations Mark Cookson profile →
Genetic variability in the regulation of gene expression in ten regions of the human brain

2014 410 citations Adaikalavan Ramasamy, Daniah Trabzuni et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Cookson United States	81	13.5k	11.6k	6.4k	6.2k	4.0k	258	24.9k
Yoshikuni Mizuno Japan	78	14.8k 1.1×	10.1k 0.9×	9.7k 1.5×	4.5k 0.7×	4.8k 1.2×	403	26.7k
Edward Rockenstein United States	76	9.7k 0.7×	7.9k 0.7×	8.6k 1.3×	10.3k 1.7×	5.2k 1.3×	195	24.4k
Serge Przedborski United States	110	21.8k 1.6×	14.3k 1.2×	15.3k 2.4×	7.8k 1.3×	8.4k 2.1×	261	41.6k
Patrik Brundin Sweden	97	15.5k 1.1×	14.5k 1.2×	17.7k 2.8×	5.6k 0.9×	5.2k 1.3×	363	35.5k
Matthew J. Farrer United States	77	16.9k 1.3×	6.2k 0.5×	9.1k 1.4×	5.5k 0.9×	5.5k 1.4×	330	22.2k
Jie Shen United States	50	6.8k 0.5×	6.5k 0.6×	5.0k 0.8×	4.8k 0.8×	1.9k 0.5×	112	14.7k
Alexis Brice France	88	16.2k 1.2×	16.9k 1.5×	18.9k 3.0×	6.1k 1.0×	6.7k 1.7×	548	35.8k
M. Flint Beal United States	105	11.7k 0.9×	19.9k 1.7×	15.1k 2.4×	7.8k 1.3×	4.2k 1.1×	273	36.4k
Étienne C. Hirsch France	89	16.2k 1.2×	9.2k 0.8×	15.1k 2.4×	4.6k 0.7×	7.2k 1.8×	311	31.8k
Tiago F. Outeiro Germany	71	8.3k 0.6×	6.4k 0.6×	4.6k 0.7×	5.3k 0.9×	2.4k 0.6×	341	16.9k

Countries citing papers authored by Mark Cookson

Since Specialization

Citations

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

Fields of papers citing papers by Mark Cookson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Cookson

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bonet‐Ponce, Luis, Jillian H. Kluss, & Mark Cookson. (2024). Mechanisms of lysosomal tubulation and sorting driven by LRRK2. Biochemical Society Transactions. 52(4). 1909–1919. 1 indexed citations

Cookson, Mark, et al.. (2024). How Parkinson’s Disease-Linked LRRK2 Mutations Affect Different CNS Cell Types. Journal of Parkinson s Disease. 14(7). 1331–1352. 3 indexed citations

Reilly, Luke, Sahba Seddighi, Andrew Singleton, et al.. (2023). Variant biomarker discovery using mass spectrometry-based proteogenomics. SHILAP Revista de lepidopterología. 4. 1191993–1191993. 5 indexed citations

Metcalfe, Riley D., et al.. (2023). Structure and regulation of full-length human leucine-rich repeat kinase 1. Nature Communications. 14(1). 4797–4797. 6 indexed citations

Silva, Daniel, Aya Matsui, Adamantios Mamais, et al.. (2023). Leucine-rich repeat kinase 2 limits dopamine D1 receptor signaling in striatum and biases against heavy persistent alcohol drinking. Neuropsychopharmacology. 49(5). 824–836. 6 indexed citations

Kaur, Rachneet, Mathew J. Koretsky, Hirotaka Iwaki, et al.. (2023). Application of Aligned-UMAP to longitudinal biomedical studies. Patterns. 4(6). 100741–100741. 11 indexed citations

Langston, Rebekah G., Alexandra Beilina, Xylena Reed, et al.. (2022). Association of a common genetic variant with Parkinson’s disease is mediated by microglia. Science Translational Medicine. 14(655). eabp8869–eabp8869. 50 indexed citations

Bonet‐Ponce, Luis & Mark Cookson. (2022). The endoplasmic reticulum contributes to lysosomal tubulation/sorting driven by LRRK2. Molecular Biology of the Cell. 33(13). ar124–ar124. 13 indexed citations

Frattini, Emanuele, Pascale Baden, Susanna Cogo, et al.. (2022). LRRK2 kinase activity regulates GCase level and enzymatic activity differently depending on cell type in Parkinson’s disease. npj Parkinson s Disease. 8(1). 92–92. 22 indexed citations

10.

Yellajoshyula, Dhananjay, Samuel S. Pappas, Biswa Choudhury, et al.. (2021). THAP1 modulates oligodendrocyte maturation by regulating ECM degradation in lysosomes. Proceedings of the National Academy of Sciences. 118(31). 11 indexed citations

11.

Mamais, Adamantios, Jillian H. Kluss, Luis Bonet‐Ponce, et al.. (2021). Mutations in LRRK2 linked to Parkinson disease sequester Rab8a to damaged lysosomes and regulate transferrin-mediated iron uptake in microglia. PLoS Biology. 19(12). e3001480–e3001480. 57 indexed citations

12.

Langston, Rebekah G. & Mark Cookson. (2020). Pathways of protein synthesis and degradation in PD pathogenesis. Progress in brain research. 252. 217–270. 6 indexed citations

13.

Schulz, Jörg B., et al.. (2016). The impact of fraudulent and irreproducible data to the translational research crisis – solutions and implementation. Journal of Neurochemistry. 139(S2). 253–270. 28 indexed citations

14.

Skibinski, Gaia, Ken Nakamura, Mark Cookson, & Steven Finkbeiner. (2014). Mutant LRRK2 Toxicity in Neurons Depends on LRRK2 Levels and Synuclein But Not Kinase Activity or Inclusion Bodies. Journal of Neuroscience. 34(2). 418–433. 106 indexed citations

15.

Ramasamy, Adaikalavan, Daniah Trabzuni, J. Raphael Gibbs, et al.. (2013). Resolving the polymorphism-in-probe problem is critical for correct interpretation of expression QTL studies. Nucleic Acids Research. 41(7). e88–e88. 66 indexed citations

16.

Narendra, Derek P., Seok Min Jin, Atsushi Tanaka, et al.. (2010). PINK1 Is Selectively Stabilized on Impaired Mitochondria to Activate Parkin. PLoS Biology. 8(1). e1000298–e1000298. 2261 indexed citations breakdown →

17.

Traynor, Bryan J., Michael A. Nalls, J. Raphael Gibbs, et al.. (2010). Kinesin-associated protein 3 (KIFAP3) has no effect on survival in a population-based cohort of ALS patients. Proceedings of the National Academy of Sciences. 107(27). 12335–12338. 22 indexed citations

18.

Cookson, Mark & John Hardy. (2006). The Persistence of Memory. New England Journal of Medicine. 355(25). 2697–2698. 2 indexed citations

19.

Cookson, Mark. (2004). Molecules That Cause or Prevent Parkinson's Disease. PLoS Biology. 2(11). e401–e401. 3 indexed citations

20.

Tomkins, Janine, et al.. (2000). Screening of AP endonuclease as a candidate gene for amyotrophic lateral sclerosis (ALS). Neuroreport. 11(8). 1695–1697. 23 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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