Chi Wang Ip

2.0k total citations
76 papers, 1.3k citations indexed

About

Chi Wang Ip is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Chi Wang Ip has authored 76 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Neurology, 42 papers in Cellular and Molecular Neuroscience and 22 papers in Neurology. Recurrent topics in Chi Wang Ip's work include Neurological disorders and treatments (37 papers), Parkinson's Disease Mechanisms and Treatments (33 papers) and Botulinum Toxin and Related Neurological Disorders (15 papers). Chi Wang Ip is often cited by papers focused on Neurological disorders and treatments (37 papers), Parkinson's Disease Mechanisms and Treatments (33 papers) and Botulinum Toxin and Related Neurological Disorders (15 papers). Chi Wang Ip collaborates with scholars based in Germany, Canada and United States. Chi Wang Ip's co-authors include Jens Volkmann, Rudolf Martini, Antje Kroner, James B. Koprich, Klaus‐Armin Nave, Jonathan M. Brotchie, Heinz Wiendl, Stefan Fischer, Igor Kobsar and Susanne Knörr and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Chi Wang Ip

72 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chi Wang Ip Germany 21 629 495 397 302 160 76 1.3k
Sebastian Thams Sweden 19 437 0.7× 664 1.3× 384 1.0× 611 2.0× 241 1.5× 29 1.6k
Valentina Vanni Italy 19 327 0.5× 383 0.8× 283 0.7× 298 1.0× 126 0.8× 27 1.1k
Agnieszka Ciesielska Poland 22 335 0.5× 406 0.8× 284 0.7× 329 1.1× 81 0.5× 32 1.1k
Vanessa Brochard France 9 711 1.1× 467 0.9× 734 1.8× 258 0.9× 142 0.9× 11 1.3k
Xiangmin Peng United States 12 300 0.5× 447 0.9× 202 0.5× 227 0.8× 93 0.6× 18 954
Nadine Wilczak Netherlands 24 342 0.5× 381 0.8× 385 1.0× 473 1.6× 177 1.1× 44 1.6k
Beata R. Frydel United States 18 348 0.6× 750 1.5× 311 0.8× 455 1.5× 121 0.8× 32 1.6k
Savina Apolloni Italy 23 603 1.0× 194 0.4× 582 1.5× 432 1.4× 245 1.5× 45 1.6k
Sasidhar Murikinati United States 10 226 0.4× 191 0.4× 598 1.5× 393 1.3× 204 1.3× 10 1.4k
Alexander M. Bernstein United States 9 293 0.5× 498 1.0× 432 1.1× 422 1.4× 115 0.7× 9 1.4k

Countries citing papers authored by Chi Wang Ip

Since Specialization
Citations

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

Fields of papers citing papers by Chi Wang Ip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi Wang Ip. 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 Chi Wang Ip. The network helps show where Chi Wang Ip may publish in the future.

Co-authorship network of co-authors of Chi Wang Ip

This figure shows the co-authorship network connecting the top 25 collaborators of Chi Wang Ip. A scholar is included among the top collaborators of Chi Wang Ip 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 Chi Wang Ip. Chi Wang Ip 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.
2.
Haufe, Stefan, Nicoló Gabriele Pozzi, Chiara Palmisano, et al.. (2025). Low β predicts motor output and cell degeneration in the A53T Parkinson’s disease rat model. Brain. 148(11). 4058–4071. 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.
Cernera, Stephanie, Robert L. Peach, Chi Wang Ip, et al.. (2025). Oscillatory dynamics in isolated dystonia: five hundred hours of chronic invasive multisite motor network recordings. Journal of Neurophysiology. 134(2). 677–690.
5.
Peach, Robert L., Uwe Thomas, Robert Blum, et al.. (2024). Standardized wireless deep brain stimulation system for mice. npj Parkinson s Disease. 10(1). 153–153. 1 indexed citations
6.
Palmisano, Chiara, Jane Alty, Steffen Paschen, et al.. (2024). Validation and application of computer vision algorithms for video-based tremor analysis. npj Digital Medicine. 7(1). 165–165. 9 indexed citations
7.
Volkmann, Jens, et al.. (2024). A framework for translational therapy development in deep brain stimulation. npj Parkinson s Disease. 10(1). 216–216. 2 indexed citations
8.
Wolf, Daniel H., Thomas Andreska, Noelia Granado, et al.. (2023). Dopaminergic Input Regulates the Sensitivity of Indirect Pathway Striatal Spiny Neurons to Brain-Derived Neurotrophic Factor. Biology. 12(10). 1360–1360. 8 indexed citations
9.
Koprich, James B., et al.. (2023). Inflammasome inhibition protects dopaminergic neurons from α-synuclein pathology in a model of progressive Parkinson’s disease. Journal of Neuroinflammation. 20(1). 79–79. 22 indexed citations
10.
Regensburger, Martin, Chi Wang Ip, Zacharias Kohl, et al.. (2023). Clinical benefit of MAO-B and COMT inhibition in Parkinson’s disease: practical considerations. Journal of Neural Transmission. 130(6). 847–861. 40 indexed citations
11.
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
12.
Loens, Sebastian, Katja Lohmann, Thorsten Odorfer, et al.. (2023). Tremor is associated with familial clustering of dystonia. Parkinsonism & Related Disorders. 110. 105400–105400. 4 indexed citations
13.
Prüß, Harald, et al.. (2022). Rapidly progressive dementia: Extending the spectrum of GFAP ‐astrocytopathies?. Annals of Clinical and Translational Neurology. 9(3). 410–415. 3 indexed citations
14.
Knörr, Susanne, et al.. (2021). Multifactorial Assessment of Motor Behavior in Rats after Unilateral Sciatic Nerve Crush Injury. Journal of Visualized Experiments. 2 indexed citations
15.
Knörr, Susanne, et al.. (2021). Multifactorial Assessment of Motor Behavior in Rats after Unilateral Sciatic Nerve Crush Injury. Journal of Visualized Experiments. 4 indexed citations
16.
Tatenhorst, Lars, Lucas Caldi Gomes, Shuyu Zhang, et al.. (2021). Brain iron enrichment attenuates α‐synuclein spreading after injection of preformed fibrils. Journal of Neurochemistry. 159(3). 554–573. 17 indexed citations
17.
Ip, Chi Wang, Naomi P. Visanji, Jonathan M. Brotchie, et al.. (2017). AAV1/2-induced overexpression of A53T-α-synuclein in the substantia nigra results in degeneration of the nigrostriatal system with Lewy-like pathology and motor impairment: a new mouse model for Parkinson’s disease. Acta Neuropathologica Communications. 5(1). 11–11. 118 indexed citations
18.
Ip, Chi Wang, Ioannis U. Isaias, Dennis Klein, et al.. (2016). Tor1a+/- mice develop dystonia-like movements via a striatal dopaminergic dysregulation triggered by peripheral nerve injury. Acta Neuropathologica Communications. 4(1). 108–108. 31 indexed citations
19.
Kroner, Antje, Nicholas Schwab, Chi Wang Ip, et al.. (2009). Accelerated Course of Experimental Autoimmune Encephalomyelitis in PD-1-Deficient Central Nervous System Myelin Mutants. American Journal Of Pathology. 174(6). 2290–2299. 34 indexed citations
20.
Ip, Chi Wang, Antje Kroner, Stefan Fischer, et al.. (2006). Role of immune cells in animal models for inherited peripheral neuropathies. NeuroMolecular Medicine. 8(1-2). 175–189. 35 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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