Yan Wu

7.3k citations
176 papers · 6.0k · 1 hit paper · h-index 41

Impact in

Papers in

Yan Wu

167 papers receiving 5.9k citations

Yan Wu's Hit Papers

The Role of NMDA Receptors in Alzheimer’s Disease 2019 · 425 citations
4250+2+4Years since publication100200300400

Peers

Yan Wu
Comparison fields: 5 of 139
  • Biological Psychiatry 320
  • Neurology 1.0k
  • Developmental Neuroscience 422
  • Behavioral Neuroscience 247
  • Cellular and Molecular Neuroscience 1.2k
Replace Pietro Giusti with:
Pietro Giusti Italy
Krishnan M. Dhandapani United States
Maria Angela Sortino Italy
Simonetta Camandola United States
Mohamed R. Mughal United States
Rafael Roesler Brazil
Andrew A. Pieper United States
Aiwu Cheng United States
Laura Facci Italy
Xia Liu China
Yan Wu relative to Pietro Giusti Italy Pietro Giusti's profile →
Citations per field
00.5×1.7×
Pietro Giusti · 1×
Citations per year

Countries citing papers authored by Yan Wu

Since Specialization
Citations

This map shows the geographic impact of Yan 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 Yan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Wu more than expected).

Fields of papers citing papers by Yan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan 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 Yan Wu. The network helps show where Yan Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Yan 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 Yan Wu Line = papers co-authored together Yan Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Role of NMDA Receptors in Alzheimer’s Disease
Hit paper breakdown →
2019425
2 2017402
3 2012228
4 2018187
5 2005182
6 2013159
7 2012156
8 2011114
9 2007113
10 2012113
11 2019110
12 2010109
13 2014109
14 2014102
15 200596
16 201094
17 201891
18 201487
19 200974
20 200571

About Yan Wu

Yan Wu is a scholar working on Neurology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Molecular Biology and Physiology, having authored 176 papers that have together received 6.0k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (35 papers), Neuroscience and Neuropharmacology Research (29 papers), Alzheimer's disease research and treatments (14 papers), Neurogenesis and neuroplasticity mechanisms (13 papers), Cell death mechanisms and regulation (9 papers), Neurological Disease Mechanisms and Treatments (8 papers), Mitochondrial Function and Pathology (7 papers) and Immune Response and Inflammation (7 papers). The work is most often cited by research in Biological Psychiatry (320 citations), Neurology (1.0k citations), Developmental Neuroscience (422 citations), Behavioral Neuroscience (247 citations) and Cellular and Molecular Neuroscience (1.2k citations). Yan Wu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include You Shang, Lirong Chang, Lei Pei, Yizhi Song, Limin Song, Shanglong Yao, Jinping Liu, Hui Li, Osborne F. X. Almeida and David Tai Wai Yew. Their work appears in journals such as CNS Neuroscience & Therapeutics, Brain Research, Neuroscience Bulletin, Journal of Alzheimer s Disease and Journal of Molecular 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.

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