Ye Wu

4.4k citations
173 papers · 2.3k indexed · h-index 24

Impact in

Papers in

Ye Wu

164 papers receiving 2.3k citations

Peers

Ye Wu
Comparison fields: 5 of 111
  • Clinical Biochemistry 276
  • Psychiatry and Mental health 395
  • Neurology 192
  • Genetics 501
  • Molecular Biology 1.2k
Replace Larisa M. Haupt with:
Larisa M. Haupt Australia
Morten Dunø Denmark
Olimpia Musumeci Italy
Hiroki Kato Japan
Claudio Bruno Italy
Nobuyuki Murakami Japan
Dong Seok Kim South Korea
Chuanzhu Yan China
Tsunehiko Ikeda Japan
Hasan O. Akman United States
Ye Wu relative to Larisa M. Haupt Australia Larisa M. Haupt's profile →
Citations per field
00.5×6.6×
Larisa M. Haupt · 1×
Citations per year

Countries citing papers authored by Ye Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ye Wu Line = papers co-authored together Ye Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20251
3 20240
4 20241
5 20236
6 202318
7 20233
8 20228
9 202222
10 20214
11 20180
12 201841
13 201847
14 201510
15
[Report of a child with neonatal-onset multisystem inflammatory disease and review of the literature].
20141
16
[Clinical and genetic analysis of a family with Aicardi-Goutières syndrome and literature review].
20145
17 20141
18
[Value of muscle enzyme analysis in differential diagnosis of childhood myopathic hyper-creatine kinase-emia].
20141
19 20121
20
[X-linked adrenoleukodystrophy ABCD1 gene mutation analysis in China].
20043

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.

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