Chris C. Tang
- Neurology top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Molecular Biology
- Co-authors
- David EidelbergVijay DhawanYilong MaAndrew FeiginKathleen L. PostonJi Hyun KoPhoebe G. SpetsierisMartin Niethammer
- Topics
- Parkinson's Disease Mechanisms and Treatments (35 papers)Neurological disorders and treatments (34 papers)Functional Brain Connectivity Studies (15 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Communications
- Partner nations
- United StatesSloveniaGermany
In The Last Decade
Chris C. Tang
67 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 111
- Neurology 1.7k
- Cellular and Molecular Neuroscience 729
- Cognitive Neuroscience 667
- Radiology, Nuclear Medicine and Imaging 444
- Molecular Biology 302
Countries citing papers authored by Chris C. Tang
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 13 | |
| 5 | 9 | |
| 6 | 13 | |
| 7 | 11 | |
| 8 | 55 | |
| 9 | 16 | |
| 10 | 22 | |
| 11 | 7 | |
| 12 | 137 | |
| 13 | 86 | |
| 14 | 62 | |
| 15 | 22 | |
| 16 | 77 | |
| 17 | 11 | |
| 18 | 192 | |
| 19 | 22 | |
| 20 | 9 |
About Chris C. Tang
Chris C. Tang is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 70 papers that have together received 2.6k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (35 papers), Neurological disorders and treatments (34 papers) and Functional Brain Connectivity Studies (15 papers). The work is most often cited by research in Neurology (1.7k citations), Cellular and Molecular Neuroscience (729 citations) and Cognitive Neuroscience (667 citations). Chris C. Tang has collaborated with scholars based in United States, Slovenia and Germany. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.