Nils G. Margraf

1.5k total citations
48 papers, 917 citations indexed

About

Nils G. Margraf is a scholar working on Neurology, Psychiatry and Mental health and Rheumatology. According to data from OpenAlex, Nils G. Margraf has authored 48 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Neurology, 12 papers in Psychiatry and Mental health and 8 papers in Rheumatology. Recurrent topics in Nils G. Margraf's work include Parkinson's Disease and Spinal Disorders (18 papers), Parkinson's Disease Mechanisms and Treatments (16 papers) and Neurological disorders and treatments (10 papers). Nils G. Margraf is often cited by papers focused on Parkinson's Disease and Spinal Disorders (18 papers), Parkinson's Disease Mechanisms and Treatments (16 papers) and Neurological disorders and treatments (10 papers). Nils G. Margraf collaborates with scholars based in Germany, United States and Italy. Nils G. Margraf's co-authors include Günther Deuschl, Walter Schulz‐Schaeffer, Gregor Kuhlenbäumer, Kirsten E. Zeuner, Arne Wrede, Franziska Hopfner, Axel Künstner, Sven Künzel, John F. Baines and Stefanie H. Müller and has published in prestigious journals such as Brain Research, Neuroscience and Acta Neuropathologica.

In The Last Decade

Nils G. Margraf

42 papers receiving 902 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nils G. Margraf Germany 15 638 176 141 105 103 48 917
Michal Lubomski Australia 14 381 0.6× 134 0.8× 27 0.2× 102 1.0× 70 0.7× 26 614
Francesco Fisicaro Italy 17 279 0.4× 93 0.5× 14 0.1× 82 0.8× 109 1.1× 39 962
Cristian Falup‐Pecurariu Romania 18 1.1k 1.8× 61 0.3× 8 0.1× 148 1.4× 192 1.9× 86 1.5k
Manoel Alves Sobreira-Neto Brazil 13 389 0.6× 33 0.2× 11 0.1× 79 0.8× 87 0.8× 54 695
Mariusz Siemiński Poland 15 157 0.2× 22 0.1× 20 0.1× 87 0.8× 50 0.5× 61 550
S. Hemmati Iran 4 653 1.0× 27 0.2× 10 0.1× 60 0.6× 125 1.2× 8 782
Akira Toyofuku Japan 16 198 0.3× 61 0.3× 22 0.2× 445 4.2× 226 2.2× 91 833
Giuseppe Gervasi Italy 12 86 0.1× 30 0.2× 15 0.1× 64 0.6× 173 1.7× 30 543
Guillaume Lamotte United States 12 359 0.6× 32 0.2× 5 0.0× 76 0.7× 121 1.2× 42 630
Vivien C. Abad United States 15 36 0.1× 35 0.2× 75 0.5× 260 2.5× 88 0.9× 26 881

Countries citing papers authored by Nils G. Margraf

Since Specialization
Citations

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

Fields of papers citing papers by Nils G. Margraf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nils G. Margraf. 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 Nils G. Margraf. The network helps show where Nils G. Margraf may publish in the future.

Co-authorship network of co-authors of Nils G. Margraf

This figure shows the co-authorship network connecting the top 25 collaborators of Nils G. Margraf. A scholar is included among the top collaborators of Nils G. Margraf 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 Nils G. Margraf. Nils G. Margraf 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.
Jensen‐Kondering, Ulf, Nils G. Margraf, Slaven Pikija, et al.. (2025). Cerebrospinal Fluid β‐Amyloid and τ Levels in Patients With Iatrogenic Cerebral Amyloid Angiopathy, Sporadic Cerebral Amyloid Angiopathy, Alzheimer Disease, and Controls. Journal of the American Heart Association. 14(15). e041908–e041908.
2.
Strzelczyk, Adam, et al.. (2025). Demographics and care of epilepsy in older adults in Germany. Seizure. 128. 4–15. 1 indexed citations
3.
Raethjen, Jan, Nabin Koirala, Rüdiger Pryss, et al.. (2025). Central Pathophysiology and Brain Network Changes Related to Camptocormia in Parkinson's Disease. Movement Disorders. 40(10). 2149–2157.
4.
Dargvainiene, Justina, Jeanette Franzenburg, Frank Leypoldt, et al.. (2024). Neurofilament light (NfL) concentrations in patients with epilepsy with recurrent isolated seizures: Insights from a clinical cohort study. Seizure. 121. 91–94. 1 indexed citations
5.
Dargvainiene, Justina, Ulf Jensen‐Kondering, Benjamin Bender, et al.. (2024). Aβ38 and Aβ43 do not differentiate between Alzheimer's disease and cerebral amyloid angiopathy. Annals of Clinical and Translational Neurology. 11(3). 806–811. 1 indexed citations
6.
Jensen‐Kondering, Ulf, Nils G. Margraf, Walter Maetzler, et al.. (2023). Characterizing mixed location hemorrhages/microbleeds with CSF markers. International Journal of Stroke. 18(6). 728–735. 2 indexed citations
7.
8.
Flüh, Charlotte, Nils G. Margraf, Kai Wehkamp, et al.. (2022). Sustainability of large-scale implementation of shared decision making with the SHARE TO CARE program. Frontiers in Neurology. 13. 1037447–1037447. 7 indexed citations
9.
Jensen‐Kondering, Ulf, Naomi Larsen, Charlotte Flüh, et al.. (2020). Clinical and radiological differences between patients with probable cerebral amyloid angiopathy and mixed cerebral microbleeds. Journal of Neurology. 267(12). 3602–3608. 10 indexed citations
10.
Nydahl, Peter, et al.. (2020). Protokoll einer Studie zur Qualitätsverbesserung des Delirmanagements auf der Intensivstation. Medizinische Klinik - Intensivmedizin und Notfallmedizin. 115(5). 428–436. 3 indexed citations
11.
Schlenstedt, Christian, et al.. (2020). Quantitative assessment of posture in healthy controls and patients with Parkinson's disease. Parkinsonism & Related Disorders. 76. 85–90. 17 indexed citations
12.
Lindner, Thomas, et al.. (2018). Quantitative Phase-Contrast MR Angiography to Measure Hemodynamic Changes in Idiopathic Intracranial Hypertension. American Journal of Neuroradiology. 39(4). 682–686. 11 indexed citations
13.
Wolff, Stephan, et al.. (2018). Does Post-task Declarative Learning Have an Influence on Early Motor Memory Consolidation Over Day? An fMRI Study. Frontiers in Neuroscience. 12. 280–280. 4 indexed citations
14.
Margraf, Nils G., et al.. (2017). Trunk muscle activation pattern in parkinsonian camptocormia as revealed with surface electromyography. Parkinsonism & Related Disorders. 44. 44–50. 10 indexed citations
15.
Schulz‐Schaeffer, Walter, Nils G. Margraf, Arne Wrede, et al.. (2015). Effect of neurostimulation on camptocormia in Parkinson's disease depends on symptom duration. Movement Disorders. 30(3). 368–372. 47 indexed citations
16.
Margraf, Nils G., et al.. (2015). MRI of lumbar trunk muscles in patients with Parkinson’s disease and camptocormia. Journal of Neurology. 262(7). 1655–1664. 34 indexed citations
17.
Wrede, Arne, Nils G. Margraf, Hans H. Goebel, Günther Deuschl, & Walter Schulz‐Schaeffer. (2011). Myofibrillar disorganization characterizes myopathy of camptocormia in Parkinson’s disease. Acta Neuropathologica. 123(3). 419–432. 46 indexed citations
18.
Margraf, Nils G., Arne Wrede, Axel Rohr, et al.. (2010). Camptocormia in idiopathic Parkinson's disease: A focal myopathy of the paravertebral muscles. Movement Disorders. 25(5). 542–551. 86 indexed citations
19.
Witt, Karsten, et al.. (2010). Sleep consolidates the effector-independent representation of a motor skill. Neuroscience. 171(1). 227–234. 57 indexed citations
20.
Margraf, Nils G., et al.. (2009). Bedside screening for executive dysfunction in patients with subcortical ischemic vascular disease. International Journal of Geriatric Psychiatry. 24(9). 1002–1009. 6 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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