Ursula Keber

3.0k total citations
9 papers, 204 citations indexed

About

Ursula Keber is a scholar working on Neurology, Molecular Biology and Genetics. According to data from OpenAlex, Ursula Keber has authored 9 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Neurology, 2 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Ursula Keber's work include Parkinson's Disease Mechanisms and Treatments (3 papers), Glioma Diagnosis and Treatment (2 papers) and Neurological disorders and treatments (2 papers). Ursula Keber is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (3 papers), Glioma Diagnosis and Treatment (2 papers) and Neurological disorders and treatments (2 papers). Ursula Keber collaborates with scholars based in Germany, Australia and Japan. Ursula Keber's co-authors include Günter U. Höglinger, Wolfgang H. Oertel, Andreas Borta, D. Scheller, Óscar Arias-Carrión, Daniel Alvarez‐Fischer, Rainer K.W. Schwarting, Vincent Ries, Axel Pagenstecher and Candan Depboylu and has published in prestigious journals such as Nature Communications, Biochemical and Biophysical Research Communications and Neuroscience.

In The Last Decade

Ursula Keber

9 papers receiving 200 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ursula Keber Germany	8	74	58	50	36	34	9	204
Joseph R. Latoche United States	8	78 1.1×	93 1.6×	26 0.5×	110 3.1×	64 1.9×	8	295
Greg Eigner Jablonski Norway	13	33 0.4×	111 1.9×	35 0.7×	64 1.8×	65 1.9×	26	329
Aimen Moussaddy Canada	4	54 0.7×	24 0.4×	51 1.0×	41 1.1×	24 0.7×	4	181
Zhuohua Wu China	11	147 2.0×	35 0.6×	45 0.9×	76 2.1×	117 3.4×	21	302
Axelle Kerstens Belgium	9	73 1.0×	28 0.5×	74 1.5×	112 3.1×	30 0.9×	12	250
Richard C. Krolewski United States	7	44 0.6×	164 2.8×	78 1.6×	131 3.6×	33 1.0×	8	347
Matthias Amprosi Austria	8	67 0.9×	43 0.7×	72 1.4×	68 1.9×	19 0.6×	17	232
Hermann Luebbert Germany	6	21 0.3×	26 0.4×	61 1.2×	75 2.1×	95 2.8×	6	263
Pedro Pereira Portugal	8	31 0.4×	24 0.4×	152 3.0×	42 1.2×	20 0.6×	18	290
Ching‐Chieh Chou United States	7	101 1.4×	10 0.2×	75 1.5×	106 2.9×	15 0.4×	7	237

Countries citing papers authored by Ursula Keber

Since Specialization

Citations

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

Fields of papers citing papers by Ursula Keber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ursula Keber

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

All Works

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9 of 9 papers shown

Groh, Janos, Ursula Keber, Fabian Imdahl, et al.. (2023). Brain-to-gut trafficking of alpha-synuclein by CD11c+ cells in a mouse model of Parkinson’s disease. Nature Communications. 14(1). 7529–7529. 14 indexed citations

Eberle, Fabian, et al.. (2022). Monocentric evaluation of Ki-67 labeling index in combination with a modified RPA score as a prognostic factor for survival in IDH-wildtype glioblastoma patients treated with radiochemotherapy. Strahlentherapie und Onkologie. 198(10). 892–906. 10 indexed citations

Brichkina, Anna, et al.. (2021). DYRK3 contributes to differentiation and hypoxic control in neuroblastoma. Biochemical and Biophysical Research Communications. 567. 215–221. 7 indexed citations

Hauswald, Henrik, Barbara Carl, Marco Stein, et al.. (2021). Comparison of carbon ion and photon reirradiation for recurrent glioblastoma. Strahlentherapie und Onkologie. 198(5). 427–435. 12 indexed citations

Didona, Dario, et al.. (2020). Amyopathic and anti-TIF1 gamma-positive dermatomyositis: analysis of a monocentric cohort and proposal to update diagnostic criteria. European Journal of Dermatology. 30(3). 279–288. 7 indexed citations

Beck‐Wödl, Stefanie, K. Harzer, Marc Sturm, et al.. (2018). Homozygous TBC1 domain-containing kinase (TBCK) mutation causes a novel lysosomal storage disease – a new type of neuronal ceroid lipofuscinosis (CLN15)?. Acta Neuropathologica Communications. 6(1). 145–145. 31 indexed citations

Klietz, Martin, Ursula Keber, Thomas Carlsson, et al.. (2016). l-DOPA-induced dyskinesia is associated with a deficient numerical downregulation of striatal tyrosine hydroxylase mRNA-expressing neurons. Neuroscience. 331. 120–133. 7 indexed citations

Höglinger, Günter U., Daniel Alvarez‐Fischer, Óscar Arias-Carrión, et al.. (2015). A new dopaminergic nigro-olfactory projection. Acta Neuropathologica. 130(3). 333–348. 94 indexed citations

Keber, Ursula, Martin Klietz, Thomas Carlsson, et al.. (2015). Striatal tyrosine hydroxylase-positive neurons are associated with l-DOPA-induced dyskinesia in hemiparkinsonian mice. Neuroscience. 298. 302–317. 22 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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