Ye Wu
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders 28
- Psychiatry and Mental health top 5%
- Epilepsy research and treatment 35
- Neurology top 5%
- Genetics top 5%
- Genetics and Neurodevelopmental Disorders 23
- Genomics and Rare Diseases 14
- Genomic variations and chromosomal abnormalities 11
- Molecular Biology top 10%
- RNA regulation and disease 32
- Mitochondrial Function and Pathology 11
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- Pharmacological Effects and Toxicity Studies 17
- Journals
- CNS Neuroscience & Therapeutics (7 papers)Brain and Development (7 papers)PLoS ONE (7 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ye Wu
164 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 111
- Clinical Biochemistry 276
- Psychiatry and Mental health 395
- Neurology 192
- Genetics 501
- Molecular Biology 1.2k
Countries citing papers authored by Ye Wu
This map shows the geographic impact of Ye Wu'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 Ye Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Wu more than expected).
Fields of papers citing papers by Ye Wu
This network shows the impact of papers produced by Ye Wu. 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 Ye Wu. The network helps show where Ye Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ye Wu, 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 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 18 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 22 | |
| 10 | 2021 | 4 | |
| 11 | 2018 | 0 | |
| 12 | 2018 | 41 | |
| 13 | 2018 | 47 | |
| 14 | 2015 | 10 | |
| 15 | [Report of a child with neonatal-onset multisystem inflammatory disease and review of the literature]. | 2014 | 1 |
| 16 | [Clinical and genetic analysis of a family with Aicardi-Goutières syndrome and literature review]. | 2014 | 5 |
| 17 | 2014 | 1 | |
| 18 | [Value of muscle enzyme analysis in differential diagnosis of childhood myopathic hyper-creatine kinase-emia]. | 2014 | 1 |
| 19 | 2012 | 1 | |
| 20 | [X-linked adrenoleukodystrophy ABCD1 gene mutation analysis in China]. | 2004 | 3 |
About Ye Wu
Ye Wu is a scholar working on Clinical Biochemistry, Psychiatry and Mental health, Neurology, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 173 papers that have together received 2.3k indexed citations. Recurring topics across this work include Epilepsy research and treatment (35 papers), RNA regulation and disease (32 papers), Metabolism and Genetic Disorders (28 papers), Genetics and Neurodevelopmental Disorders (23 papers), Pharmacological Effects and Toxicity Studies (17 papers), Genomics and Rare Diseases (14 papers), Genomic variations and chromosomal abnormalities (11 papers) and Mitochondrial Function and Pathology (11 papers). The work is most often cited by research in Clinical Biochemistry (276 citations), Psychiatry and Mental health (395 citations), Neurology (192 citations), Genetics (501 citations) and Molecular Biology (1.2k citations). Ye Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuwu Jiang, Jingmin Wang, Xiru Wu, Yuehua Zhang, Taoyun Ji, Zhuanghui Wang, Kai Gao, Weihua Cai, Han Xie and Xuhui Ge. Their work appears in journals such as CNS Neuroscience & Therapeutics, Brain and Development, PLoS ONE, Frontiers in Neurology and Orphanet Journal of Rare Diseases.
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.