Ya Ke
Impact in
- Hematology top 0.5%
- Iron Metabolism and Disorders
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments
- Neurological diseases and metabolism
- Neurological disorders and treatments
- Neuroinflammation and Neurodegeneration Mechanisms
- Intracerebral and Subarachnoid Hemorrhage Research
Papers in
- Hematology 52
- Iron Metabolism and Disorders 52
- Neurology 23
- Neurological Disorders and Treatments 9
- Neurological diseases and metabolism 8
- Parkinson's Disease Mechanisms and Treatments 8
- Neuroinflammation and Neurodegeneration Mechanisms 6
- Co-authors
- Zhong‐Ming Qian (63 shared papers)Wing‐Ho Yung (57 shared papers)Fang Du (23 shared papers)Li Zhu (22 shared papers)Xiaomei Wu (11 shared papers)Qian Li (5 shared papers)Gordon William Arbuthnott (4 shared papers)Christopher Qian (14 shared papers)
In The Last Decade
Ya Ke
118 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 115
- Hematology 1.5k
- Neurology 712
- Neurology 756
- Developmental Neuroscience 71
- Complementary and alternative medicine 200
Countries citing papers authored by Ya Ke
This map shows the geographic impact of Ya Ke'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 Ya Ke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Ke more than expected).
Fields of papers citing papers by Ya Ke
This network shows the impact of papers produced by Ya Ke. 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 Ya Ke. The network helps show where Ya Ke may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya Ke, 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 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 310 | |
| 2 | 2012 | 273 | |
| 3 | 2007 | 213 | |
| 4 | 2011 | 147 | |
| 5 | 2014 | 121 | |
| 6 | 2008 | 106 | |
| 7 | 2019 | 106 | |
| 8 | 2011 | 94 | |
| 9 | 2007 | 91 | |
| 10 | 2004 | 88 | |
| 11 | 2010 | 87 | |
| 12 | 2014 | 83 | |
| 13 | 2003 | 82 | |
| 14 | 2014 | 82 | |
| 15 | 2020 | 80 | |
| 16 | 2016 | 79 | |
| 17 | 2015 | 78 | |
| 18 | 2011 | 77 | |
| 19 | 2015 | 77 | |
| 20 | 2013 | 75 |
About Ya Ke
Ya Ke is a scholar working on Hematology, Neurology, Neurology, Cellular and Molecular Neuroscience and Physiology, having authored 120 papers that have together received 4.7k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (52 papers), Neuroscience and Neuropharmacology Research (10 papers), Neurological Disorders and Treatments (9 papers), Neurological diseases and metabolism (8 papers), Parkinson's Disease Mechanisms and Treatments (8 papers), Alzheimer's disease research and treatments (6 papers), Cardiac Ischemia and Reperfusion (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). The work is most often cited by research in Hematology (1.5k citations), Neurology (712 citations), Neurology (756 citations), Developmental Neuroscience (71 citations) and Complementary and alternative medicine (200 citations). Ya Ke has collaborated with scholars based in Hong Kong, China and Japan. Frequent co-authors include Zhong‐Ming Qian, Wing‐Ho Yung, Fang Du, Li Zhu, Xiaomei Wu, Qian Li, Gordon William Arbuthnott, Christopher Qian, Ken Kin Lam Yung and Qianqian Luo. Their work appears in journals such as Journal of Cellular Physiology, Molecular Neurobiology, Journal of Cellular Biochemistry, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease 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.