Onno Schaap

4.0k total citations · 1 hit paper
10 papers, 2.8k citations indexed

About

Onno Schaap is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Onno Schaap has authored 10 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Neurology and 3 papers in Genetics. Recurrent topics in Onno Schaap's work include Neurological diseases and metabolism (3 papers), Genetic diversity and population structure (3 papers) and Nuclear Receptors and Signaling (2 papers). Onno Schaap is often cited by papers focused on Neurological diseases and metabolism (3 papers), Genetic diversity and population structure (3 papers) and Nuclear Receptors and Signaling (2 papers). Onno Schaap collaborates with scholars based in Netherlands, United States and Belgium. Onno Schaap's co-authors include Nicola Vanacore, Elmar Krieger, Alexis Brice, Peter Heutink, Vincenzo Bonifati, Ben A. Oostra, G. Meco, Guido J. Breedveld, Marieke Dekker and Marijke Joosse and has published in prestigious journals such as Science, Nature Chemical Biology and PLoS Genetics.

In The Last Decade

Onno Schaap

10 papers receiving 2.7k citations

Hit Papers

Mutations in the DJ-1 Gene Associated with Autosomal Rece... 2003 2026 2010 2018 2003 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Onno Schaap Netherlands 8 1.6k 1.2k 957 551 516 10 2.8k
Takeshi Niki Japan 22 1.3k 0.9× 1.3k 1.1× 879 0.9× 365 0.7× 474 0.9× 35 2.8k
Hibiki Kawamata United States 28 1.3k 0.8× 1.6k 1.4× 739 0.8× 303 0.5× 652 1.3× 41 2.9k
Rili Ahmad United States 13 2.0k 1.3× 1.4k 1.2× 928 1.0× 517 0.9× 647 1.3× 14 3.0k
Mariana Pehar United States 33 1.1k 0.7× 1.5k 1.3× 569 0.6× 633 1.1× 822 1.6× 50 3.4k
Melisa J. Baptista United States 9 1.6k 1.0× 994 0.9× 899 0.9× 384 0.7× 495 1.0× 10 2.4k
Pablo Ibáñez Spain 11 2.5k 1.6× 1.1k 1.0× 1.5k 1.5× 767 1.4× 765 1.5× 19 3.5k
Marijke Joosse Netherlands 14 1.8k 1.2× 1.4k 1.2× 1.1k 1.1× 667 1.2× 1.2k 2.4× 16 3.9k
Annick Mouatt‐Prigent France 17 1.6k 1.0× 1.3k 1.1× 1.4k 1.5× 632 1.1× 583 1.1× 20 3.3k
Masatoshi Inden Japan 28 769 0.5× 935 0.8× 639 0.7× 391 0.7× 322 0.6× 90 2.4k
Christelle Guégan France 21 1.3k 0.8× 1.3k 1.1× 813 0.8× 612 1.1× 429 0.8× 25 2.8k

Countries citing papers authored by Onno Schaap

Since Specialization
Citations

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

Fields of papers citing papers by Onno Schaap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Onno Schaap

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

All Works

10 of 10 papers shown
1.
Bertola, Laura D., Martijn Vermaat, Pricelia N. Tumenta, et al.. (2022). Whole genome sequencing and the application of a SNP panel reveal primary evolutionary lineages and genomic variation in the lion (Panthera leo). BMC Genomics. 23(1). 321–321. 6 indexed citations
2.
Mulder, Patrick P. J., et al.. (2020). The evolution of pyrrolizidine alkaloid diversity among and within Jacobaea species. Journal of Systematics and Evolution. 60(2). 361–376. 6 indexed citations
4.
Wielstra, Ben, Terry Burke, Roger K. Butlin, et al.. (2016). Efficient screening for ‘genetic pollution’ in an anthropogenic crested newt hybrid zone. Conservation Genetics Resources. 8(4). 553–560. 11 indexed citations
5.
Snijder, Pauline M., Nicola A. Grzeschik, Henri G. D. Leuvenink, et al.. (2015). Overexpression of Cystathionine γ-Lyase Suppresses Detrimental Effects of Spinocerebellar Ataxia Type 3. Molecular Medicine. 21(1). 758–768. 38 indexed citations
6.
Srinivasan, Balaji, Marianne van der Zwaag, Bart Kanon, et al.. (2015). Extracellular 4′-phosphopantetheine is a source for intracellular coenzyme A synthesis. Nature Chemical Biology. 11(10). 784–792. 92 indexed citations
7.
Esposito, Giovanni, Melissa Vos, Sven Vilain, et al.. (2013). Aconitase Causes Iron Toxicity in Drosophila pink1 Mutants. PLoS Genetics. 9(4). e1003478–e1003478. 62 indexed citations
8.
Vos, Melissa, Giovanni Esposito, Janaka N. Edirisinghe, et al.. (2012). Vitamin K 2 Is a Mitochondrial Electron Carrier That Rescues Pink1 Deficiency. Science. 336(6086). 1306–1310. 289 indexed citations
9.
Vilain, Sven, Giovanni Esposito, Dominik Haddad, et al.. (2012). The Yeast Complex I Equivalent NADH Dehydrogenase Rescues pink1 Mutants. PLoS Genetics. 8(1). e1002456–e1002456. 83 indexed citations
10.
Bonifati, Vincenzo, Patrizia Rizzu, Marijke J. van Baren, et al.. (2003). Mutations in the DJ-1 Gene Associated with Autosomal Recessive Early-Onset Parkinsonism. Science. 299(5604). 256–259. 2156 indexed citations breakdown →

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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