Gregor Kuhlenbäeumer

612 total citations
9 papers, 335 citations indexed

About

Gregor Kuhlenbäeumer is a scholar working on Neurology, Molecular Biology and Oncology. According to data from OpenAlex, Gregor Kuhlenbäeumer has authored 9 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Neurology, 3 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Gregor Kuhlenbäeumer's work include Neurological disorders and treatments (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Moyamoya disease diagnosis and treatment (1 paper). Gregor Kuhlenbäeumer is often cited by papers focused on Neurological disorders and treatments (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Moyamoya disease diagnosis and treatment (1 paper). Gregor Kuhlenbäeumer collaborates with scholars based in Germany, United Kingdom and Finland. Gregor Kuhlenbäeumer's co-authors include George K. Tofaris, Jason J. Davis, Barbara Borroni, Yongzhi Huang, Robert Hein, Günther Deuschl, Samuel Evetts, Cheng Jiang, John Ryder and Alessandro Padovani and has published in prestigious journals such as Journal of Neurology Neurosurgery & Psychiatry, Movement Disorders and Journal of Neurology.

In The Last Decade

Gregor Kuhlenbäeumer

9 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregor Kuhlenbäeumer Germany 8 155 154 69 47 47 9 335
K. A. Harkness United Kingdom 5 114 0.7× 82 0.5× 89 1.3× 45 1.0× 61 1.3× 6 323
Madhurima Chatterjee Netherlands 10 129 0.8× 83 0.5× 53 0.8× 68 1.4× 18 0.4× 17 293
Sylvain Perriot Switzerland 10 149 1.0× 76 0.5× 175 2.5× 52 1.1× 21 0.4× 13 432
Megi Meneri Italy 12 148 1.0× 162 1.1× 38 0.6× 35 0.7× 15 0.3× 38 316
Giovanna Carrara Italy 6 54 0.3× 233 1.5× 44 0.6× 63 1.3× 16 0.3× 7 460
Takahiro Kano Japan 9 118 0.8× 123 0.8× 23 0.3× 31 0.7× 44 0.9× 31 293
Fabrice Chrétien France 9 56 0.4× 124 0.8× 82 1.2× 18 0.4× 33 0.7× 17 371
Yuka Hama Japan 7 205 1.3× 152 1.0× 28 0.4× 17 0.4× 97 2.1× 19 320

Countries citing papers authored by Gregor Kuhlenbäeumer

Since Specialization
Citations

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

Fields of papers citing papers by Gregor Kuhlenbäeumer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregor Kuhlenbäeumer

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

All Works

9 of 9 papers shown
1.
Margraf, Nils G., Justina Dargvainiene, Frank Leypoldt, et al.. (2023). Neurofilament light (NfL) as biomarker in serum and CSF in status epilepticus. Journal of Neurology. 270(4). 2128–2138. 11 indexed citations
2.
Jiang, Cheng, Franziska Hopfner, Robert Hein, et al.. (2020). Serum neuronal exosomes predict and differentiate Parkinson’s disease from atypical parkinsonism. Journal of Neurology Neurosurgery & Psychiatry. 91(7). 720–729. 205 indexed citations
3.
Liao, Calwing, Daniel Rochefort, Fulya Akçimen, et al.. (2020). Multiomics Analyses Identify Genes and Pathways Relevant to Essential Tremor. Movement Disorders. 35(7). 1153–1162. 7 indexed citations
4.
Craggs, Lucinda, Janet Y. Slade, Aiqing Chen, et al.. (2015). Clusterin/Apolipoprotein J immunoreactivity is associated with white matter damage in cerebral small vessel diseases. Neuropathology and Applied Neurobiology. 42(2). 194–209. 19 indexed citations
5.
Craggs, Lucinda, Christian Hagel, Gregor Kuhlenbäeumer, et al.. (2013). Quantitative Vascular Pathology and Phenotyping Familial and Sporadic Cerebral Small Vessel Diseases. Brain Pathology. 23(5). 547–557. 47 indexed citations
6.
Luke, May M., Klaus Berger, Charles M. Rowland, et al.. (2011). Polymorphisms and Noncardioembolic Stroke in Three Case-Control Studies. Cerebrovascular Diseases. 33(1). 80–85. 2 indexed citations
7.
Kuhlenbäeumer, Gregor, Andreas Huge, Klaus Berger, et al.. (2010). Genetic Variants in the C-Reactive Protein Gene Are Associated with Microangiopathic Ischemic Stroke. Cerebrovascular Diseases. 30(5). 476–482. 14 indexed citations
8.
Naßenstein, I., David Maintz, Darius G. Nabavi, et al.. (2008). Neurosonographical follow-up in patients with spontaneous cervical artery dissection. Neurological Research. 30(7). 687–689. 22 indexed citations
9.
Kuhlenbäeumer, Gregor, Jan Meuleman, Anja Schirmacher, et al.. (1998). Mutation analysis of a putative sialyltransferase gene, the SFRS2 splicing factor gene and the c‐myb ET‐locus in two families with hereditary neuralgic amyotrophy (HNA). Annals of Human Genetics. 62(5). 397–400. 8 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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2026