Chris C. Tang

3.6k total citations
70 papers, 2.6k citations indexed

About

Chris C. Tang is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Chris C. Tang has authored 70 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Neurology, 23 papers in Cellular and Molecular Neuroscience and 20 papers in Cognitive Neuroscience. Recurrent topics in Chris C. Tang's work include Parkinson's Disease Mechanisms and Treatments (35 papers), Neurological disorders and treatments (34 papers) and Functional Brain Connectivity Studies (15 papers). Chris C. Tang is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (35 papers), Neurological disorders and treatments (34 papers) and Functional Brain Connectivity Studies (15 papers). Chris C. Tang collaborates with scholars based in United States, Slovenia and Germany. Chris C. Tang's co-authors include David Eidelberg, Vijay Dhawan, Yilong Ma, Andrew Feigin, Kathleen L. Poston, Ji Hyun Ko, Phoebe G. Spetsieris, Martin Niethammer, Paul J. Mattis and Hideo Mure and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Chris C. Tang

67 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris C. Tang United States 28 1.7k 729 667 444 302 70 2.6k
Elmar H. Pinkhardt Germany 27 1.3k 0.8× 283 0.4× 325 0.5× 400 0.9× 221 0.7× 65 2.0k
Wei Song China 25 1.2k 0.7× 388 0.5× 290 0.4× 178 0.4× 645 2.1× 106 2.1k
Francesca Caramia Italy 27 499 0.3× 276 0.4× 459 0.7× 453 1.0× 262 0.9× 75 2.4k
Ryder P. Gwinn United States 24 979 0.6× 817 1.1× 216 0.3× 355 0.8× 609 2.0× 41 2.3k
Nilo Riva Italy 31 1.9k 1.1× 519 0.7× 175 0.3× 254 0.6× 411 1.4× 101 2.5k
Ute A. Kopp Germany 26 1.4k 0.8× 495 0.7× 297 0.4× 83 0.2× 258 0.9× 42 2.1k
O.J.M. Vogels Netherlands 23 652 0.4× 504 0.7× 166 0.2× 187 0.4× 317 1.0× 42 1.8k
Luca Marsili United States 26 1.4k 0.9× 477 0.7× 308 0.5× 72 0.2× 172 0.6× 90 2.2k
Xiao Luo China 23 320 0.2× 340 0.5× 434 0.7× 441 1.0× 407 1.3× 104 1.6k
Michael Sommerauer Germany 23 1.1k 0.6× 318 0.4× 313 0.5× 167 0.4× 201 0.7× 68 1.8k

Countries citing papers authored by Chris C. Tang

Since Specialization
Citations

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

Fields of papers citing papers by Chris C. Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris C. Tang. 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 Chris C. Tang. The network helps show where Chris C. Tang may publish in the future.

Co-authorship network of co-authors of Chris C. Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Chris C. Tang. A scholar is included among the top collaborators of Chris C. Tang 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 Chris C. Tang. Chris C. Tang 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.
Tang, Chris C., Yoshikazu Nakano, An Vo, et al.. (2024). Longitudinal network changes and phenoconversion risk in isolated REM sleep behavior disorder. Nature Communications. 15(1). 10797–10797. 4 indexed citations
2.
Edens, Thaddeus J., Chris C. Tang, Judy Fan, et al.. (2024). SinoNasal Microbiota Transfer to treat recalcitrant chronic rhinosinusitis: A case series. International Forum of Allergy & Rhinology. 14(8). 1386–1390. 1 indexed citations
3.
Niethammer, Martin, Chris C. Tang, Roland Dominic G. Jamora, et al.. (2023). A Network Imaging Biomarker of X‐Linked Dystonia‐Parkinsonism. Annals of Neurology. 94(4). 684–695. 3 indexed citations
4.
Vo, An, Katharina A. Schindlbeck, Nha Nguyen, et al.. (2022). Adaptive and pathological connectivity responses in Parkinson’s disease brain networks. Cerebral Cortex. 33(4). 917–932. 13 indexed citations
5.
Schindlbeck, Katharina A., Chris C. Tang, An Vo, et al.. (2022). Stereotyped Relationship Between Motor and Cognitive Metabolic Networks in Parkinson's Disease. Movement Disorders. 37(11). 2247–2256. 9 indexed citations
6.
Schindlbeck, Katharina A., Deepak Gupta, Chris C. Tang, et al.. (2021). Neuropathological correlation supports automated image-based differential diagnosis in parkinsonism. European Journal of Nuclear Medicine and Molecular Imaging. 48(11). 3522–3529. 13 indexed citations
7.
Fujita, Koji, Shichun Peng, Yilong Ma, et al.. (2021). Blood–brain barrier permeability in Parkinson’s disease patients with and without dyskinesia. Journal of Neurology. 268(6). 2246–2255. 11 indexed citations
8.
Mackay, Meggan, An Vo, Chris C. Tang, et al.. (2019). Metabolic and microstructural alterations in the SLE brain correlate with cognitive impairment. JCI Insight. 4(1). 55 indexed citations
9.
Schindlbeck, Katharina A., Chris C. Tang, Martin Niethammer, et al.. (2017). Increased putamen hypercapnic vasoreactivity in levodopa-induced dyskinesia. JCI Insight. 2(20). 16 indexed citations
10.
Maier, Franziska, Masoud Tahmasian, George P. Prigatano, et al.. (2016). Behavioural and neuroimaging correlates of impaired self-awareness of hypo- and hyperkinesia in Parkinson's disease. Cortex. 82. 35–47. 22 indexed citations
11.
Holtbernd, Florian, Chris C. Tang, Andrew Feigin, et al.. (2016). Longitudinal Changes in the Motor Learning-Related Brain Activation Response in Presymptomatic Huntington's Disease. PLoS ONE. 11(5). e0154742–e0154742. 7 indexed citations
12.
Holtbernd, Florian, Jean‐François Gagnon, Ron B. Postuma, et al.. (2014). Abnormal metabolic network activity in REM sleep behavior disorder. Neurology. 82(7). 620–627. 137 indexed citations
13.
Tang, Chris C., Andrew Feigin, Yilong Ma, et al.. (2013). Metabolic network as a progression biomarker of premanifest Huntington’s disease. Journal of Clinical Investigation. 123(9). 4076–4088. 86 indexed citations
14.
Spetsieris, Phoebe G., Yilong Ma, Shichun Peng, et al.. (2013). Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data. Journal of Visualized Experiments. 62 indexed citations
15.
Ko, Ji Hyun, Chris C. Tang, & David Eidelberg. (2013). Brain stimulation and functional imaging with fMRI and PET. Handbook of clinical neurology. 116. 77–95. 22 indexed citations
16.
Niethammer, Martin, Chris C. Tang, Yilong Ma, et al.. (2013). Parkinson's disease cognitive network correlates with caudate dopamine. NeuroImage. 78. 204–209. 77 indexed citations
17.
Dhawan, Vijay, Chris C. Tang, Yilong Ma, Phoebe G. Spetsieris, & David Eidelberg. (2012). Abnormal network topographies and changes in global activity: Absence of a causal relationship. NeuroImage. 63(4). 1827–1832. 11 indexed citations
18.
Mure, Hideo, Shigeki Hirano, Chris C. Tang, et al.. (2010). Parkinson's disease tremor-related metabolic network: Characterization, progression, and treatment effects. NeuroImage. 54(2). 1244–1253. 192 indexed citations
19.
Tang, Chris C. & David Eidelberg. (2010). Abnormal metabolic brain networks in Parkinson’s disease. Progress in brain research. 184. 160–176. 22 indexed citations
20.
Pawlak, Anthony P., et al.. (2009). Acute Effects of Cocaine on Movement-Related Firing of Dorsolateral Striatal Neurons Depend on Predrug Firing Rate and Dose. Journal of Pharmacology and Experimental Therapeutics. 332(2). 667–683. 9 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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