Wanxin Wu

411 citations
45 papers · 310 · h-index 10

Impact in

Papers in

    • Ubiquitin and proteasome pathways 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Liver Disease Diagnosis and Treatment 3

Wanxin Wu

38 papers receiving 307 citations

Peers

Wanxin Wu
Comparison fields: 5 of 81
  • Cancer Research 55
  • Hepatology 26
  • Parasitology 19
  • Immunology 49
  • Process Chemistry and Technology 5
Replace Miguel Garcia with:
Miguel Garcia Switzerland
Xuetao Zhao China
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Wanxin Wu relative to Miguel Garcia Switzerland Miguel Garcia's profile →
Citations per field
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Citations per year

Countries citing papers authored by Wanxin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wanxin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201554
2 201542
3 201921
4 201620
5 201319
6 202017
7 201716
8 201315
9 201814
10 202412
11 20148
12 20217
13 20246
14 20146
15 20215
16
[Establishment and characterization of serial subpopulations with highly metastatic potential via different metastatic routes].
20114
17 20254
18 20223
19 20123
20
[Expression and significance of c-Jun activation domain binding protein 1 in human colorectal carcinoma].
20143

About Wanxin Wu

Wanxin Wu is a scholar working on Molecular Biology, Epidemiology, Oncology, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment, having authored 45 papers that have together received 310 indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (4 papers), Breast Cancer Treatment Studies (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Ubiquitin and proteasome pathways (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Structural Load-Bearing Analysis (2 papers), High Entropy Alloys Studies (2 papers) and Eosinophilic Disorders and Syndromes (2 papers). The work is most often cited by research in Cancer Research (55 citations), Hepatology (26 citations), Parasitology (19 citations), Immunology (49 citations) and Process Chemistry and Technology (5 citations). Wanxin Wu has collaborated with scholars based in China, Malaysia and United States. Frequent co-authors include Caiping Chen, Jingrui Li, Chao Han, Jin Jiang, Xiang Lu, Ye Zhang, Yonghong Xie, Ying Fang, Wenli Guo and Michael P. Marshak. Their work appears in journals such as Frontiers in Oncology, Ecotoxicology and Environmental Safety, Journal of Cutaneous Pathology, Disease Markers and ACS Omega.

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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