Wen Xu

6.8k citations
157 papers · 4.2k indexed · 3 hit papers · h-index 32
Topics
Cancer Immunotherapy and Biomarkers (17 papers)Cancer-related Molecular Pathways (11 papers)Immunotherapy and Immune Responses (9 papers)
Journals
Nature CommunicationsJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Wen Xu

146 papers receiving 4.2k citations

Hit Papers

Targeting PI3K/Akt signal transduction for cancer therapy20202026202220242021202020212505007501000

Peers

Wen Xu
Comparison fields: 5 of 144
  • Molecular Biology 1.8k
  • Oncology 1.1k
  • Cancer Research 747
  • Pulmonary and Respiratory Medicine 672
  • Surgery 476
Replace Zhiyong Wang with:
Zhiyong Wang China
M. Zabel Poland
Caroline Bouzin Belgium
Wen Di China
Matthew A. Firpo United States
Yuan Li China
Dong‐Hua Yang United States
D. Paul Harkin United Kingdom
Zhuo Wang China
Wen Xu relative to Zhiyong Wang China Zhiyong Wang's profile →
Citations per field
00.5×1.5×1.8×
Zhiyong Wang · 1×
Citations per year

Countries citing papers authored by Wen Xu

Since Specialization
Citations

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

Fields of papers citing papers by Wen Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Xu. A scholar is included among the top collaborators of Wen Xu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wen Xu. Wen Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 3
3 1
4 11
5 1
6 14
7 1
8 8
9 3
10 21
11
Molecular mechanisms of chemo‐ and radiotherapy resistance and the potential implications for cancer treatmentbreakdown →
231
12
Targeting PI3K/Akt signal transduction for cancer therapybreakdown →
1019
13
Advances in targeted therapy for esophageal cancerbreakdown →
324
14 42
15 2
16 11
17 5
18 16
19 8
20
[The prevalence and risk factors of metabolic syndrome among adult residents in Guangdong and Jiangsu provinces in China].
5

About Wen Xu

Wen Xu is a scholar working on Oncology, Reproductive Medicine and Cancer Research, having authored 157 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (17 papers), Cancer-related Molecular Pathways (11 papers) and Immunotherapy and Immune Responses (9 papers). The work is most often cited by research in Cancer Research (747 citations), Oncology (1.1k citations) and Molecular Biology (1.8k citations). Wen Xu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Bin Li, Jing Yang, Yan He, Miao Sun, Kui Sheng Chen, Qing‐Yu He, Yuan‐Han Yang, Can‐Can Zheng, Yaping Liu and Ming‐Liang He. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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