Cornelis Blauwendraat

15.0k total citations · 2 hit papers
80 papers, 2.5k citations indexed

About

Cornelis Blauwendraat is a scholar working on Neurology, Molecular Biology and Neurology. According to data from OpenAlex, Cornelis Blauwendraat has authored 80 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Neurology, 33 papers in Molecular Biology and 19 papers in Neurology. Recurrent topics in Cornelis Blauwendraat's work include Parkinson's Disease Mechanisms and Treatments (48 papers), Neurological diseases and metabolism (18 papers) and RNA regulation and disease (18 papers). Cornelis Blauwendraat is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (48 papers), Neurological diseases and metabolism (18 papers) and RNA regulation and disease (18 papers). Cornelis Blauwendraat collaborates with scholars based in United States, United Kingdom and Germany. Cornelis Blauwendraat's co-authors include Andrew Singleton, Mike A. Nalls, Sara Bandrés‐Ciga, Mark Cookson, Hampton L. Leonard, Hirotaka Iwaki, Faraz Faghri, Alastair J. Noyce, Xylena Reed and J. Raphael Gibbs and has published in prestigious journals such as Neuron, Brain and Annals of Neurology.

In The Last Decade

Cornelis Blauwendraat

77 papers receiving 2.5k citations

Hit 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.

The genetic architecture of Parkinson's disease

2019 685 citations Cornelis Blauwendraat, Mike A. Nalls et al. profile →
Virus exposure and neurodegenerative disease risk across national biobanks

2023 175 citations Kristin Levine, Hampton L. Leonard et al. Neuron profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cornelis Blauwendraat United States	28	1.5k	752	656	595	481	80	2.5k
Sonja W. Scholz United States	23	1.7k 1.1×	1.0k 1.4×	534 0.8×	654 1.1×	648 1.3×	73	3.2k
Sara Bandrés‐Ciga United States	23	1.2k 0.8×	595 0.8×	423 0.6×	494 0.8×	430 0.9×	83	2.0k
Marieke Dekker Tanzania	15	1.9k 1.2×	1.0k 1.3×	563 0.9×	608 1.0×	1.2k 2.4×	41	3.0k
Kishore R. Kumar Australia	23	882 0.6×	726 1.0×	255 0.4×	342 0.6×	647 1.3×	95	1.9k
Michelle J. Porritt Australia	19	625 0.4×	1.1k 1.4×	280 0.4×	657 1.1×	1.0k 2.1×	27	3.2k
Julie van der Zee Belgium	33	2.6k 1.7×	1.7k 2.2×	1.8k 2.7×	922 1.5×	510 1.1×	81	4.6k
Fang Cai China	16	669 0.4×	545 0.7×	501 0.8×	197 0.3×	457 1.0×	51	1.8k
Christine Tranchant France	39	2.3k 1.5×	2.0k 2.7×	407 0.6×	701 1.2×	1.5k 3.1×	209	5.2k
Nico Melzer Germany	28	1.0k 0.7×	545 0.7×	161 0.2×	406 0.7×	430 0.9×	99	2.5k
Naoki Tani Japan	21	460 0.3×	764 1.0×	352 0.5×	334 0.6×	254 0.5×	114	2.0k

Countries citing papers authored by Cornelis Blauwendraat

Since Specialization

Citations

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

Fields of papers citing papers by Cornelis Blauwendraat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cornelis Blauwendraat

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

All Works

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20 of 20 papers shown

Levine, Kristin, Jun Han, Hirotaka Iwaki, et al.. (2025). Sleep disturbances as risk factors for neurodegeneration later in life. ORCA Online Research @Cardiff. 1(1). 2 indexed citations

Xu, Kui, Ivo Violich, Elizabeth Hutchins, et al.. (2025). Decreased SNCA expression in whole-blood RNA analysis of Parkinson’s disease adjusting for neutrophils. npj Parkinson s Disease. 11(1). 292–292.

Meredith, Melissa, Pilar Álvarez Jerez, Laksh Malik, et al.. (2025). Assessing DNA methylation detection for primary human tissue using Nanopore sequencing. Genome Research. 35(4). 632–643. 1 indexed citations

Screven, Laurel A., Caroline B. Pantazis, Dan Vitale, et al.. (2024). Harnessing diversity to study Alzheimer’s disease: A new iPSC resource from the NIH CARD and ADNI. Neuron. 112(5). 694–697. 1 indexed citations

Vitale, Dan, Mathew J. Koretsky, M R James, et al.. (2024). GenoTools: an open-source Python package for efficient genotype data quality control and analysis. G3 Genes Genomes Genetics. 15(1). 2 indexed citations

Ojo, Oluwadamilola O., Sara Bandrés‐Ciga, Mary B. Makarious, et al.. (2024). GBA 1 rs3115534 Is Associated with REM Sleep Behavior Disorder in Parkinson's Disease in Nigerians. Movement Disorders. 39(4). 728–733. 6 indexed citations

Lake, Julie, Caroline Warly Solsberg, Jonggeol Jeffrey Kim, et al.. (2023). Multi-ancestry meta-analysis and fine-mapping in Alzheimer’s disease. Molecular Psychiatry. 28(7). 3121–3132. 30 indexed citations

Jerez, Pilar Álvarez, Anni Moore, Clara Ruz, et al.. (2023). Exploring the genetic and genomic connection underlying neurodegeneration with brain iron accumulation and the risk for Parkinson’s disease. npj Parkinson s Disease. 9(1). 54–54. 8 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

10.

Bustos, Bernabé I., Kimberley J. Billingsley, Cornelis Blauwendraat, et al.. (2022). Genome-wide contribution of common short-tandem repeats to Parkinson’s disease genetic risk. Brain. 146(1). 65–74. 20 indexed citations

11.

Periñán, María Teresa, Kajsa Brolin, Sara Bandrés‐Ciga, et al.. (2022). Effect Modification between Genes and Environment and Parkinson's Disease Risk. Annals of Neurology. 92(5). 715–724. 24 indexed citations

12.

Kaur, Rachneet, Sayed Hadi Hashemi, Hampton L. Leonard, et al.. (2022). Identification and prediction of Parkinson’s disease subtypes and progression using machine learning in two cohorts. npj Parkinson s Disease. 8(1). 172–172. 50 indexed citations

13.

Zhu, William, Xiaoping Huang, Sara Bandrés‐Ciga, et al.. (2021). Heterozygous PRKN mutations are common but do not increase the risk of Parkinson’s disease. Brain. 145(6). 2077–2091. 31 indexed citations

14.

Jensen, Melanie P., Benjamin M. Jacobs, Ruth Dobson, et al.. (2021). Lower Lymphocyte Count is Associated With Increased Risk of Parkinson's Disease. Annals of Neurology. 89(4). 803–812. 56 indexed citations

15.

Brolin, Kajsa, Sara Bandrés‐Ciga, Hampton L. Leonard, et al.. (2021). RIC3 variants are not associated with Parkinson's disease in large European, Latin American, or East Asian cohorts. Neurobiology of Aging. 109. 264–268. 2 indexed citations

16.

Lake, Julie, Xylena Reed, Rebekah G. Langston, et al.. (2021). Coding and Noncoding Variation in LRRK2 and Parkinson's Disease Risk. Movement Disorders. 37(1). 95–105. 19 indexed citations

17.

Alcalay, Roy N., Pavlina Wolf, Ming Sum Ruby Chiang, et al.. (2020). Longitudinal Measurements of Glucocerebrosidase activity in Parkinson’s patients. Annals of Clinical and Translational Neurology. 7(10). 1816–1830. 25 indexed citations

18.

Krohn, Lynne, Francis P. Grenn, Mary B. Makarious, et al.. (2020). Comprehensive assessment of PINK1 variants in Parkinson's disease. Neurobiology of Aging. 91. 168.e1–168.e5. 28 indexed citations

19.

Leonard, Hampton L., Cornelis Blauwendraat, Lynne Krohn, et al.. (2019). Genetic variability and potential effects on clinical trial outcomes: perspectives in Parkinson’s disease. Journal of Medical Genetics. 57(5). 331–338. 40 indexed citations

20.

Bandrés‐Ciga, Sara, Sara Sáez-Atiénzar, Luis Bonet‐Ponce, et al.. (2019). The endocytic membrane trafficking pathway plays a major role in the risk of Parkinson's disease. Movement Disorders. 34(4). 460–468. 50 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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