Ya Ke
Impact in
- Hematology top 0.5%
- Iron Metabolism and Disorders
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological disorders and treatments
Papers in
- Hematology 48
- Iron Metabolism and Disorders 48
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- Trace Elements in Health 34
- Co-authors
- Zhong‐Ming Qian (63 shared papers)Wing‐Ho Yung (55 shared papers)Fang Du (24 shared papers)Li Zhu (22 shared papers)David Gozal (3 shared papers)Xiaomei Wu (11 shared papers)Qian Li (4 shared papers)Ken Kin Lam Yung (5 shared papers)
- Journals
- Journal of Cellular Physiology (6 papers)Journal of Cellular Biochemistry (5 papers)Molecular Neurobiology (5 papers)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (5 papers)Neuroscience (4 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Ya Ke
131 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 133
- Hematology 1.3k
- Neurology 662
- Nutrition and Dietetics 1.2k
- Genetics 761
- Endocrine and Autonomic Systems 358
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 133 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 321 | |
| 2 | 2003 | 299 | |
| 3 | 2012 | 249 | |
| 4 | 2007 | 202 | |
| 5 | 2006 | 134 | |
| 6 | 2004 | 134 | |
| 7 | 2014 | 117 | |
| 8 | 2011 | 117 | |
| 9 | 2008 | 102 | |
| 10 | 2019 | 96 | |
| 11 | 2011 | 92 | |
| 12 | 2007 | 87 | |
| 13 | 2004 | 84 | |
| 14 | 2010 | 83 | |
| 15 | 2003 | 81 | |
| 16 | 2016 | 80 | |
| 17 | 2014 | 80 | |
| 18 | 2020 | 80 | |
| 19 | 2015 | 75 | |
| 20 | 2014 | 75 |
About Ya Ke
Ya Ke is a scholar working on Hematology, Nutrition and Dietetics, Genetics, Molecular Biology and Neurology, having authored 133 papers that have together received 5.4k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (48 papers), Trace Elements in Health (34 papers), Hemoglobinopathies and Related Disorders (28 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Neuroscience and Neuropharmacology Research (8 papers), Neuroscience of respiration and sleep (7 papers), Alzheimer's disease research and treatments (7 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). The work is most often cited by research in Hematology (1.3k citations), Neurology (662 citations), Nutrition and Dietetics (1.2k citations), Genetics (761 citations) and Endocrine and Autonomic Systems (358 citations). Ya Ke has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Zhong‐Ming Qian, Wing‐Ho Yung, Fang Du, Li Zhu, David Gozal, Xiaomei Wu, Qian Li, Ken Kin Lam Yung, Gordon W. Arbuthnott and R Liu. Their work appears in journals such as Journal of Cellular Physiology, Journal of Cellular Biochemistry, Molecular Neurobiology, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Neuroscience.
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.