Erxi Wu

8.9k citations
164 papers · 6.7k indexed · 1 hit paper · h-index 46

Erxi Wu

162 papers receiving 6.6k citations

Hit Papers

Impaired meningeal lymphatic drainage in patients with id...250202120262022202450100150200250

Peers

Erxi Wu
Comparison fields: 5 of 155
  • Cancer Research 1.3k
  • Oncology 1.8k
  • Geriatrics and Gerontology 197
  • Toxicology 162
  • Molecular Biology 3.1k
Replace Qingyong Ma with:
Qingyong Ma China
Nika N. Danial United States
Minho Shong South Korea
Atsushi Matsuzawa Japan
Eui‐Ju Choi South Korea
Ciro Isidoro Italy
Alberto Múñoz Spain
Qiang Shen China
Do Sik Min South Korea
Thomas C. Chen United States
Erxi Wu relative to Qingyong Ma China Qingyong Ma's profile →
Citations per field
00.5×1.6×
Qingyong Ma · 1×
Citations per year

Countries citing papers authored by Erxi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Erxi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202324
3 20233
4 202220
5 202232
6 202226
7 20213
8 202165
9
Impaired meningeal lymphatic drainage in patients with idiopathic Parkinson’s diseasebreakdown →
2021250
10 202012
11 202010
12 20205
13 20202
14 201959
15 2014131
16 20146
17 201386
18 201318
19 2011115
20 199791

About Erxi Wu

Erxi Wu is a scholar working on Cancer Research, Toxicology, Geriatrics and Gerontology, Oncology and Developmental Neuroscience, having authored 164 papers that have together received 6.7k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (16 papers), Pancreatic and Hepatic Oncology Research (15 papers), Cancer, Hypoxia, and Metabolism (15 papers), RNA modifications and cancer (14 papers), Glioma Diagnosis and Treatment (10 papers), Hedgehog Signaling Pathway Studies (10 papers), Parkinson's Disease Mechanisms and Treatments (9 papers) and Cancer, Stress, Anesthesia, and Immune Response (9 papers). The work is most often cited by research in Cancer Research (1.3k citations), Oncology (1.8k citations), Geriatrics and Gerontology (197 citations), Toxicology (162 citations) and Molecular Biology (3.1k citations). Erxi Wu has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Qingyong Ma, Fengfei Wang, Qinhong Xu, Wanxing Duan, Xuqi Li, Jianjun Lei, Jiguang Ma, Shuang Zhou, Jason H. Huang and Han Liu. Their work appears in journals such as Oncotarget, PLoS ONE, Current Molecular Medicine, Current Medicinal Chemistry and International Journal of Biological Sciences.

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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