Tianxia Li
Impact in
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Neurological diseases and metabolism
Papers in
-
- Parkinson's Disease Mechanisms and Treatments 9
- Neurological diseases and metabolism 6
-
- Signaling Pathways in Disease 4
- Co-authors
- Wanli W. Smith (16 shared papers)Joseph M. Thomas (7 shared papers)Jingnan Liu (5 shared papers)Fengtian Xue (3 shared papers)Timothy H. Moran (5 shared papers)Christopher A. Ross (4 shared papers)Zhaohui Liu (1 shared paper)Xinhua He (1 shared paper)
- Journals
- PLoS ONE (4 papers)Nature Communications (1 paper)Parkinson s Disease (1 paper)Frontiers in Aging Neuroscience (1 paper)Journal of Cell Science (1 paper)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Tianxia Li
17 papers receiving 335 citations
Peers
Comparison fields: 5 of 58
- Neurology 171
- Aging 12
- Cellular and Molecular Neuroscience 93
- Neurology 37
- Cell Biology 38
Countries citing papers authored by Tianxia Li
This map shows the geographic impact of Tianxia Li'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 Tianxia Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianxia Li more than expected).
Fields of papers citing papers by Tianxia Li
This network shows the impact of papers produced by Tianxia Li. 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 Tianxia Li. The network helps show where Tianxia Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Tianxia Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 60 | |
| 2 | 2015 | 43 | |
| 3 | 2014 | 36 | |
| 4 | 2013 | 32 | |
| 5 | 2017 | 29 | |
| 6 | 2011 | 26 | |
| 7 | 2016 | 22 | |
| 8 | 2021 | 18 | |
| 9 | 2014 | 15 | |
| 10 | 2020 | 13 | |
| 11 | 2020 | 12 | |
| 12 | 2017 | 11 | |
| 13 | 2014 | 9 | |
| 14 | 2014 | 5 | |
| 15 | 2020 | 3 | |
| 16 | 2015 | 1 | |
| 17 | 2015 | 1 |
About Tianxia Li
Tianxia Li is a scholar working on Neurology, Molecular Biology, Cellular and Molecular Neuroscience, Neurology and Cell Biology, having authored 17 papers that have together received 336 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (9 papers), Neurological diseases and metabolism (6 papers), Signaling Pathways in Disease (4 papers), Nerve injury and regeneration (3 papers), Cellular transport and secretion (3 papers), Pancreatic function and diabetes (3 papers), Genetic Neurodegenerative Diseases (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Neurology (171 citations), Aging (12 citations), Cellular and Molecular Neuroscience (93 citations), Neurology (37 citations) and Cell Biology (38 citations). Tianxia Li has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Wanli W. Smith, Joseph M. Thomas, Jingnan Liu, Fengtian Xue, Timothy H. Moran, Christopher A. Ross, Zhaohui Liu, Xinhua He, Simone Engelender and Shijun Zhong. Their work appears in journals such as PLoS ONE, Nature Communications, Parkinson s Disease, Frontiers in Aging Neuroscience and Journal of Cell Science.
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.