Silvia Eshuis

1.2k total citations · 1 hit paper
8 papers, 907 citations indexed

About

Silvia Eshuis is a scholar working on Neurology, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine. According to data from OpenAlex, Silvia Eshuis has authored 8 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 5 papers in Cellular and Molecular Neuroscience and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Silvia Eshuis's work include Parkinson's Disease Mechanisms and Treatments (7 papers), Neurological disorders and treatments (5 papers) and Nerve injury and regeneration (2 papers). Silvia Eshuis is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (7 papers), Neurological disorders and treatments (5 papers) and Nerve injury and regeneration (2 papers). Silvia Eshuis collaborates with scholars based in Netherlands, Switzerland and Belgium. Silvia Eshuis's co-authors include Klaus L. Leenders, Wim J.G. Oyen, Charlotte A. Haaxma, M.W.I.M. Horstink, Jan Booij, Bastiaan R. Bloem, Dean E. Dluzen, George F. Borm, Anna L. Bartels and Antoon T. M. Willemsen and has published in prestigious journals such as Journal of Neurology Neurosurgery & Psychiatry, Movement Disorders and Neurobiology of Disease.

In The Last Decade

Silvia Eshuis

7 papers receiving 888 citations

Hit Papers

Gender differences in Parkinson's disease 2006 2026 2012 2019 2006 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Silvia Eshuis Netherlands 6 613 281 136 112 111 8 907
Richard Peppard Australia 19 774 1.3× 290 1.0× 114 0.8× 67 0.6× 144 1.3× 36 1.1k
André R. Troiano Brazil 13 594 1.0× 283 1.0× 91 0.7× 77 0.7× 96 0.9× 25 798
R. Hilker Germany 16 701 1.1× 346 1.2× 125 0.9× 137 1.2× 204 1.8× 25 1.1k
Alexander Pantelyat United States 18 612 1.0× 214 0.8× 172 1.3× 138 1.2× 147 1.3× 75 970
Cécilia Bonnet France 16 535 0.9× 246 0.9× 117 0.9× 60 0.5× 151 1.4× 27 815
Christopher Kobylecki United Kingdom 20 563 0.9× 284 1.0× 213 1.6× 110 1.0× 175 1.6× 65 1.0k
Ilona Csóti Germany 19 1.0k 1.6× 215 0.8× 278 2.0× 136 1.2× 128 1.2× 37 1.3k
Isabel Wurster Germany 20 676 1.1× 180 0.6× 259 1.9× 124 1.1× 101 0.9× 53 1.0k
Katherina Mair Austria 15 830 1.4× 354 1.3× 103 0.8× 73 0.7× 95 0.9× 20 1.0k
Valérie Soland Canada 13 517 0.8× 218 0.8× 79 0.6× 84 0.8× 95 0.9× 16 699

Countries citing papers authored by Silvia Eshuis

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Eshuis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Eshuis

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

All Works

8 of 8 papers shown
1.
Kortekaas, Rudie, Silvia Eshuis, Gerda Andringa, A. R. Cools, & Klaus L. Leenders. (2013). Motor behavior correlates with striatal [18F]-DOPA uptake in MPTP-lesioned primates. Neurochemistry International. 62(4). 349–353. 5 indexed citations
2.
Eshuis, Silvia, Rudi Dierckx, Johannes H. van Snick, Riemer H. J. A. Slart, & Andor W.J.M. Glaudemans. (2011). Manifestation of lymphoma expansion following lymphatic drainage on 18F-FDG PET/CT. European Journal of Nuclear Medicine and Molecular Imaging. 38(11). 2100–2101.
3.
Teune, Laura K., Anna L. Bartels, Bauke M. de Jong, et al.. (2010). Typical cerebral metabolic patterns in neurodegenerative brain diseases. Movement Disorders. 25(14). 2395–2404. 190 indexed citations
4.
Eshuis, Silvia, P.L. Jager, R. P. Maguire, et al.. (2008). Direct comparison of FP-CIT SPECT and F-DOPA PET in patients with Parkinson’s disease and healthy controls. European Journal of Nuclear Medicine and Molecular Imaging. 36(3). 454–462. 74 indexed citations
5.
Haaxma, Charlotte A., Bastiaan R. Bloem, George F. Borm, et al.. (2006). Gender differences in Parkinson's disease. Journal of Neurology Neurosurgery & Psychiatry. 78(8). 819–824. 569 indexed citations breakdown →
6.
Dekker, Marieke, Silvia Eshuis, R. P. Maguire, et al.. (2004). PET neuroimaging and mutations in the DJ-1 gene. Journal of Neural Transmission. 111(12). 1575–1581. 28 indexed citations
7.
Andringa, Gerda, Silvia Eshuis, Elias Perentes, et al.. (2003). TCH346 prevents motor symptoms and loss of striatal FDOPA uptake in bilaterally MPTP-treated primates. Neurobiology of Disease. 14(2). 205–217. 28 indexed citations
8.
Rojo, Ana I., Rosario Sánchez‐Pernaute, Isabel Hernández, et al.. (2002). Effects of fibroblast growth factor and glial-derived neurotrophic factor on akinesia, F-DOPA uptake and dopamine cells in parkinsonian primates. Parkinsonism & Related Disorders. 8(5). 311–323. 13 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026