Jingxia Dang
Impact in
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
-
- Neurogenetic and Muscular Disorders Research
Papers in
- Neurology 17
- Amyotrophic Lateral Sclerosis Research 15
- Parkinson's Disease Mechanisms and Treatments 10
- Neurological diseases and metabolism 3
-
- Genetic Neurodegenerative Diseases 3
- Co-authors
- Qiao Yi Chen (13 shared papers)Ji Liu (7 shared papers)Fangfang Hu (15 shared papers)Rui Jia (12 shared papers)Xing Qin (9 shared papers)John Neuhaus (1 shared paper)Bruce L. Miller (1 shared paper)Michael W. Weiner (1 shared paper)
- Journals
- Scientific Reports (4 papers)Frontiers in Aging Neuroscience (2 papers)Journal of Clinical Neurophysiology (2 papers)Materials & Design (1 paper)BMJ Open (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jingxia Dang
30 papers receiving 480 citations
Peers
Comparison fields: 5 of 90
- Neurology 177
- Genetics 70
- Ophthalmology 56
- Neurology 49
- Neuropsychology and Physiological Psychology 7
Countries citing papers authored by Jingxia Dang
This map shows the geographic impact of Jingxia Dang'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 Jingxia Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingxia Dang more than expected).
Fields of papers citing papers by Jingxia Dang
This network shows the impact of papers produced by Jingxia Dang. 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 Jingxia Dang. The network helps show where Jingxia Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingxia Dang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 86 | |
| 2 | 2021 | 44 | |
| 3 | 2021 | 44 | |
| 4 | 2021 | 23 | |
| 5 | 2016 | 21 | |
| 6 | 2021 | 20 | |
| 7 | 2017 | 20 | |
| 8 | 2014 | 19 | |
| 9 | 2022 | 18 | |
| 10 | 2022 | 17 | |
| 11 | 2022 | 16 | |
| 12 | 2015 | 16 | |
| 13 | 2021 | 15 | |
| 14 | 2022 | 14 | |
| 15 | 2018 | 13 | |
| 16 | 2021 | 13 | |
| 17 | 2019 | 12 | |
| 18 | 2021 | 9 | |
| 19 | 2019 | 9 | |
| 20 | 2022 | 9 |
About Jingxia Dang
Jingxia Dang is a scholar working on Neurology, Cellular and Molecular Neuroscience, Physiology, Genetics and Epidemiology, having authored 31 papers that have together received 487 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (15 papers), Parkinson's Disease Mechanisms and Treatments (10 papers), Neurogenetic and Muscular Disorders Research (6 papers), Alzheimer's disease research and treatments (5 papers), Ophthalmology and Visual Impairment Studies (4 papers), Epilepsy research and treatment (3 papers), Genetic Neurodegenerative Diseases (3 papers) and Neurological diseases and metabolism (3 papers). The work is most often cited by research in Neurology (177 citations), Genetics (70 citations), Ophthalmology (56 citations), Neurology (49 citations) and Neuropsychology and Physiological Psychology (7 citations). Jingxia Dang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qiao Yi Chen, Ji Liu, Fangfang Hu, Rui Jia, Xing Qin, John Neuhaus, Bruce L. Miller, Michael W. Weiner, Julie M. Hall and Stephen Allison. Their work appears in journals such as Scientific Reports, Frontiers in Aging Neuroscience, Journal of Clinical Neurophysiology, Materials & Design and BMJ Open.
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.