Jennifer J. Cheng
- Neurology top 5%
- Cellular and Molecular Neuroscience top 10%
- Cognitive Neuroscience top 10%
- Neurology top 10%
- Molecular Biology
- Co-authors
- Emad N. EskandarTodd M. HerringtonJames L. SherleySumati Ram‐MohanLakshmi RambhatlaRory J. PetteysDaniel M. SciubbaZiya L. Gokaslan
- Topics
- Neurological disorders and treatments (7 papers)Botulinum Toxin and Related Neurological Disorders (4 papers)Parkinson's Disease Mechanisms and Treatments (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaCancer ResearchJournal of Neurophysiology
- Partner nations
- United StatesTürkiyeCanada
In The Last Decade
Jennifer J. Cheng
16 papers receiving 622 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Neurology 376
- Cellular and Molecular Neuroscience 258
- Cognitive Neuroscience 173
- Neurology 99
- Molecular Biology 64
Countries citing papers authored by Jennifer J. Cheng
This map shows the geographic impact of Jennifer J. Cheng'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 Jennifer J. Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer J. Cheng more than expected).
Fields of papers citing papers by Jennifer J. Cheng
This network shows the impact of papers produced by Jennifer J. Cheng. 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 Jennifer J. Cheng. The network helps show where Jennifer J. Cheng may publish in the future.
Co-authorship network of co-authors of Jennifer J. Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer J. Cheng. A scholar is included among the top collaborators of Jennifer J. Cheng 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 Jennifer J. Cheng. Jennifer J. Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 10 | |
| 5 | 24 | |
| 6 | 33 | |
| 7 | 10 | |
| 8 | 20 | |
| 9 | 3 | |
| 10 | 10 | |
| 11 | 10 | |
| 12 | Mechanisms of deep brain stimulationbreakdown → | 368 |
| 13 | 4 | |
| 14 | 24 | |
| 15 | 7 | |
| 16 | 30 | |
| 17 | 62 | |
| 18 | 8 |
About Jennifer J. Cheng
Jennifer J. Cheng is a scholar working on Neurology, Psychiatry and Mental health and Cognitive Neuroscience, having authored 18 papers that have together received 632 indexed citations. Recurring topics across this work include Neurological disorders and treatments (7 papers), Botulinum Toxin and Related Neurological Disorders (4 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). The work is most often cited by research in Neurology (376 citations), Cellular and Molecular Neuroscience (258 citations) and Neurology (99 citations). Jennifer J. Cheng has collaborated with scholars based in United States, Türkiye and Canada. Frequent co-authors include Emad N. Eskandar, Todd M. Herrington, James L. Sherley, Sumati Ram‐Mohan, Lakshmi Rambhatla, Rory J. Petteys, Daniel M. Sciubba, Ziya L. Gokaslan, Deborah A. Frassica and Kristy Weber. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and Journal of Neurophysiology.
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.