Renate K. Hukema

2.4k total citations
33 papers, 1.2k citations indexed

About

Renate K. Hukema is a scholar working on Genetics, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Renate K. Hukema has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Genetics, 23 papers in Molecular Biology and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Renate K. Hukema's work include Genetics and Neurodevelopmental Disorders (24 papers), RNA modifications and cancer (9 papers) and Mitochondrial Function and Pathology (6 papers). Renate K. Hukema is often cited by papers focused on Genetics and Neurodevelopmental Disorders (24 papers), RNA modifications and cancer (9 papers) and Mitochondrial Function and Pathology (6 papers). Renate K. Hukema collaborates with scholars based in Netherlands, United States and France. Renate K. Hukema's co-authors include Rob Willemsen, Suzanne Rademakers, Gert Jansen, Robert F. Berman, Paul J. Hagerman, Nicolas Charlet‐Berguerand, Chantal Sellier, Flora Tassone, David J. Elliott and Frédérique Rau and has published in prestigious journals such as Nature Communications, The EMBO Journal and Annals of the New York Academy of Sciences.

In The Last Decade

Renate K. Hukema

32 papers receiving 1.2k citations

Peers

Renate K. Hukema
Sean D. Speese United States
Junhai Han China
Oliver Hendrich Germany
Jason L. Nathanson United States
David Kapfhamer United States
Steven M. Bray United States
Amita Sehgal United States
Hans‐Henrik M. Dahl Australia
James Eberwine United States
Omer Durak United States
Sean D. Speese United States
Renate K. Hukema
Citations per year, relative to Renate K. Hukema Renate K. Hukema (= 1×) peers Sean D. Speese

Countries citing papers authored by Renate K. Hukema

Since Specialization
Citations

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

Fields of papers citing papers by Renate K. Hukema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renate K. Hukema. 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 Renate K. Hukema. The network helps show where Renate K. Hukema may publish in the future.

Co-authorship network of co-authors of Renate K. Hukema

This figure shows the co-authorship network connecting the top 25 collaborators of Renate K. Hukema. A scholar is included among the top collaborators of Renate K. Hukema 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 Renate K. Hukema. Renate K. Hukema 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.
Hukema, Renate K., et al.. (2024). Implementing Advance Care Planning and Care Coordination in the Care for People With Parkinson Disease: A Feasibility Study. Journal of Neuroscience Nursing. 56(5). 174–179.
2.
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Dijkstra, Anke A., Niels D. Prins, Annemieke J.M. Rozemüller, et al.. (2021). Neuropathology of FMR1-premutation carriers presenting with dementia and neuropsychiatric symptoms. Brain Communications. 3(1). fcab007–fcab007. 6 indexed citations
4.
Taylor, Katarzyna, et al.. (2021). Short antisense oligonucleotides alleviate the pleiotropic toxicity of RNA harboring expanded CGG repeats. Nature Communications. 12(1). 1265–1265. 34 indexed citations
5.
Willemsen, Rob, et al.. (2020). Lack of a Clear Behavioral Phenotype in an Inducible FXTAS Mouse Model Despite the Presence of Neuronal FMRpolyG-Positive Aggregates. Frontiers in Molecular Biosciences. 7. 599101–599101. 7 indexed citations
6.
Botta‐Orfila, Teresa, et al.. (2020). In silico, in vitro, and in vivo Approaches to Identify Molecular Players in Fragile X Tremor and Ataxia Syndrome. Frontiers in Molecular Biosciences. 7. 31–31. 8 indexed citations
7.
Álvarez‐Mora, María Isabel, Petar Podlesniy, Ellen Gelpí, et al.. (2019). Fragile X‐associated tremor/ataxia syndrome: Regional decrease of mitochondrial DNA copy number relates to clinical manifestations. Genes Brain & Behavior. 18(5). e12565–e12565. 11 indexed citations
8.
Wenzel, H. Jürgen, Karl D. Murray, Michael R. Hunsaker, et al.. (2019). Astroglial-targeted expression of the fragile X CGG repeat premutation in mice yields RAN translation, motor deficits and possible evidence for cell-to-cell propagation of FXTAS pathology. Acta Neuropathologica Communications. 7(1). 27–27. 15 indexed citations
9.
Muslimov, Ilham A., Taesun Eom, Anna Iacoangeli, et al.. (2018). BC RNA Mislocalization in the Fragile X Premutation. eNeuro. 5(2). ENEURO.0091–18.2018. 5 indexed citations
10.
Pop, Andreea, Helen de Boer, Ronald A.M. Buijsen, et al.. (2018). Paradoxical effect of baclofen on social behavior in the fragile X syndrome mouse model. Brain and Behavior. 8(6). e00991–e00991. 12 indexed citations
11.
Buijsen, Ronald A.M., Lies‐Anne Severijnen, Rob Willemsen, et al.. (2017). Selective rescue of heightened anxiety but not gait ataxia in a premutation 90CGG mouse model of Fragile X-associated tremor/ataxia syndrome. Human Molecular Genetics. 26(11). 2133–2145. 14 indexed citations
12.
Willemsen, Rob, et al.. (2017). Potential pathogenic mechanisms underlying Fragile X Tremor Ataxia Syndrome: RAN translation and/or RNA gain-of-function?. European Journal of Medical Genetics. 61(11). 674–679. 22 indexed citations
13.
Boer, Helen de, et al.. (2017). Combination Therapy in Fragile X Syndrome; Possibilities and Pitfalls Illustrated by Targeting the mGluR5 and GABA Pathway Simultaneously. Frontiers in Molecular Neuroscience. 10. 368–368. 15 indexed citations
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Hukema, Renate K., et al.. (2015). The quest for targeted therapy in fragile X syndrome. Expert Opinion on Therapeutic Targets. 19(10). 1277–1281. 9 indexed citations
16.
Berman, Robert F., Ronald A.M. Buijsen, Karen Usdin, et al.. (2014). Mouse models of the fragile X premutation and fragile X-associated tremor/ataxia syndrome. Journal of Neurodevelopmental Disorders. 6(1). 25–25. 55 indexed citations
17.
Hunsaker, Michael R., Claudia Greco, Marian A. Spath, et al.. (2011). Widespread non-central nervous system organ pathology in fragile X premutation carriers with fragile X-associated tremor/ataxia syndrome and CGG knock-in mice. Acta Neuropathologica. 122(4). 467–479. 75 indexed citations
18.
Sellier, Chantal, Frédérique Rau, Yilei Liu, et al.. (2010). Sam68 sequestration and partial loss of function are associated with splicing alterations in FXTAS patients. The EMBO Journal. 29(7). 1248–1261. 290 indexed citations
19.
Lans, Hannes, et al.. (2009). Signaling Proteins that Regulate NaCL Chemotaxis Responses Modulate Longevity in C. elegans. Annals of the New York Academy of Sciences. 1170(1). 682–687. 3 indexed citations
20.
Hukema, Renate K., Suzanne Rademakers, & Gert Jansen. (2008). Gustatory plasticity inC. elegansinvolves integration of negative cues and NaCl taste mediated by serotonin, dopamine, and glutamate. Learning & Memory. 15(11). 829–836. 75 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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