Peter Sodaar

598 total citations
18 papers, 465 citations indexed

About

Peter Sodaar is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Peter Sodaar has authored 18 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Peter Sodaar's work include Nerve injury and regeneration (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Neurogenetic and Muscular Disorders Research (5 papers). Peter Sodaar is often cited by papers focused on Nerve injury and regeneration (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Neurogenetic and Muscular Disorders Research (5 papers). Peter Sodaar collaborates with scholars based in Netherlands, Czechia and Italy. Peter Sodaar's co-authors include P.R. Bär, Willem Hendrik Gispen, Václav Mandys, Ronald van der Neut, Kateřina Jirsová, Marc Jansen, Renske I. Wadman, Henny H. Lemmink, Ewout J. N. Groen and W. Ludo van der Pol and has published in prestigious journals such as PLoS ONE, Annals of Neurology and Annals of the New York Academy of Sciences.

In The Last Decade

Peter Sodaar

18 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Sodaar Netherlands 11 237 186 135 111 74 18 465
Robert E. McAlhany United States 7 128 0.5× 77 0.4× 111 0.8× 102 0.9× 22 0.3× 8 400
Travis D. Baughan United States 6 414 1.7× 204 1.1× 143 1.1× 78 0.7× 51 0.7× 7 632
Goang‐Won Cho South Korea 15 261 1.1× 156 0.8× 62 0.5× 41 0.4× 53 0.7× 21 499
Toshiya Nakano Japan 11 259 1.1× 114 0.6× 94 0.7× 214 1.9× 32 0.4× 20 543
Mito Shiote Japan 14 216 0.9× 276 1.5× 198 1.5× 412 3.7× 37 0.5× 21 643
Andreia Neves‐Carvalho Portugal 15 478 2.0× 110 0.6× 388 2.9× 128 1.2× 34 0.5× 21 731
Somasish Ghosh Dastidar United States 11 367 1.5× 99 0.5× 69 0.5× 179 1.6× 20 0.3× 21 639
Bernard Croizat France 12 386 1.6× 117 0.6× 166 1.2× 60 0.5× 55 0.7× 29 582
Soshana Svendsen United States 7 259 1.1× 80 0.4× 101 0.7× 78 0.7× 21 0.3× 9 470
Ina Woods Ireland 14 325 1.4× 76 0.4× 145 1.1× 145 1.3× 23 0.3× 19 547

Countries citing papers authored by Peter Sodaar

Since Specialization
Citations

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

Fields of papers citing papers by Peter Sodaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Sodaar

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

All Works

18 of 18 papers shown
1.
Wadman, Renske I., Marc Jansen, Ewout J. N. Groen, et al.. (2020). Analysis of FUS , PFN2, TDP-43 , and PLS3 as potential disease severity modifiers in spinal muscular atrophy. Neurology Genetics. 6(1). e386–e386. 13 indexed citations
2.
Wadman, Renske I., Marc Jansen, Marloes Stam, et al.. (2020). Intragenic and structural variation in the SMN locus and clinical variability in spinal muscular atrophy. Brain Communications. 2(2). fcaa075–fcaa075. 41 indexed citations
3.
Blokhuis, Anna M., Max Koppers, Ewout J. N. Groen, et al.. (2016). Comparative interactomics analysis of different ALS-associated proteins identifies converging molecular pathways. Acta Neuropathologica. 132(2). 175–196. 103 indexed citations
4.
Wadman, Renske I., Marloes Stam, Marc Jansen, et al.. (2016). A Comparative Study of SMN Protein and mRNA in Blood and Fibroblasts in Patients with Spinal Muscular Atrophy and Healthy Controls. PLoS ONE. 11(11). e0167087–e0167087. 36 indexed citations
5.
Piepers, Sanne, Jan-Maarten Cobben, Peter Sodaar, et al.. (2010). Quantification of SMN protein in leucocytes from spinal muscular atrophy patients: effects of treatment with valproic acid. Journal of Neurology Neurosurgery & Psychiatry. 82(8). 850–852. 35 indexed citations
6.
Lombardi, Maria Stella, Anne Vroon, Peter Sodaar, et al.. (2007). Down‐regulation of GRK2 after oxygen and glucose deprivation in rat hippocampal slices: role of the PI3‐kinase pathway. Journal of Neurochemistry. 102(3). 731–740. 13 indexed citations
7.
8.
Kaal, Evert C. A., et al.. (1999). Cobalt prevents nitric oxide-induced apoptotic motoneuron death in vitro. Neuroreport. 10(11). 2335–2339. 5 indexed citations
9.
Kaal, Evert C. A., et al.. (1998). Oxidant treatment causes a dose-dependent phenotype of apoptosis in cultured motoneurons. Journal of Neuroscience Research. 54(6). 778–786. 33 indexed citations
10.
Jirsová, Kateřina, Peter Sodaar, Václav Mandys, & P.R. Bär. (1997). Cold jet: a method to obtain pure Schwann cell cultures without the need for cytotoxic, apoptosis-inducing drug treatment. Journal of Neuroscience Methods. 78(1-2). 133–137. 43 indexed citations
11.
Worp, H. Bart van der, Peter Sodaar, H. Veldman, et al.. (1997). An Advanced In Vitro Model to Study Hypoxia/Low Glucose‐Induced Neuronal Cell Damage and Death. Annals of the New York Academy of Sciences. 825(1). 267–278. 2 indexed citations
12.
Berg, Leonard H. van den, et al.. (1995). Selective expansion and long‐term culture of human schwann cells from sural nerve biopsies. Annals of Neurology. 38(4). 674–678. 15 indexed citations
13.
Hol, Elly M., Peter Sodaar, & P.R. Bär. (1994). Dorsal Root Ganglia as an in Vitro Model for Melanocortin‐Induced Neuritogenesis.. Annals of the New York Academy of Sciences. 739(1). 74–86. 9 indexed citations
14.
Hol, Elly M., Václav Mandys, Peter Sodaar, Willem Hendrik Gispen, & P.R. Bär. (1994). Protection by an ACTH4–9 analogue against the toxic effects of cisplatin and taxol on sensory neurons and glial cells in vitro. Journal of Neuroscience Research. 39(2). 178–185. 31 indexed citations
15.
Bär, P.R. & Peter Sodaar. (1992). The Effect of Culture Conditions and α‐MSH on CGRP in Motoneurons in Culture. Annals of the New York Academy of Sciences. 657(1). 555–558. 4 indexed citations
16.
Sodaar, Peter, et al.. (1992). ORG 2766 induces neurofilament in intact dorsal root ganglia in culture. Neurochemistry International. 21. A1–A1. 6 indexed citations
17.
Bär, P.R. & Peter Sodaar. (1991). CGRP in motorneurons in culture: Effects of culture conditions and neuropeptides measured with an CGRP-elisa. Regulatory Peptides. 34(2). 126–126. 1 indexed citations
18.
Neut, Ronald van der, P.R. Bär, Peter Sodaar, & Willem Hendrik Gispen. (1988). Trophic influences of alpha-MSH and ACTH4–10 on neuronal outgrowth in vitro. Peptides. 9(5). 1015–1020. 65 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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