Xiuyan Wang

4.6k total citations · 1 hit paper
23 papers, 877 citations indexed

About

Xiuyan Wang is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Xiuyan Wang has authored 23 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 10 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Xiuyan Wang's work include CAR-T cell therapy research (8 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Virus-based gene therapy research (2 papers). Xiuyan Wang is often cited by papers focused on CAR-T cell therapy research (8 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Virus-based gene therapy research (2 papers). Xiuyan Wang collaborates with scholars based in China, United States and Australia. Xiuyan Wang's co-authors include Shizheng Li, Kun Li, Qian Zhao, Song Yuan, Isabelle Rivière, Michel Sadelain, Bo Wang, Renier J. Brentjens, Bo Wang and Marco L. Davila and has published in prestigious journals such as Blood, PLoS ONE and Journal of Virology.

In The Last Decade

Xiuyan Wang

23 papers receiving 865 citations

Hit Papers

Cancer-associated fibroblasts suppress ferroptosis and in... 2023 2026 2024 2025 2023 50 100 150

Peers

Xiuyan Wang
Comparison fields: 5 of 90
  • Molecular Biology 428
  • Oncology 358
  • Immunology 185
  • Cancer Research 153
  • Biomedical Engineering 119
Replace Hongyan Liu with:
Hongyan Liu China
Amirhossein Bahreyni Iran
Chong Zhao China
Juemin Fang China
Dong Tang China
Dipon Das India
Alireza Isazadeh Iran
Zhengzi Qian China
Baoan Chen China
Changguo Chen China
Hongyan Liu China View profile →
Citations per field, relative to Xiuyan Wang
Xiuyan Wang · 1×
Citations per year, relative to Xiuyan Wang
Xiuyan Wang · 1×

Countries citing papers authored by Xiuyan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiuyan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiuyan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiuyan Wang. A scholar is included among the top collaborators of Xiuyan Wang 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 Xiuyan Wang. Xiuyan Wang 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
# Work Indexed citations
1 1
2 2
3 2
4
Cancer-associated fibroblasts suppress ferroptosis and induce gemcitabine resistance in pancreatic cancer cells by secreting exosome-derived ACSL4-targeting miRNAs breakdown →
190
5 8
6 49
7 2
8 2
9 24
10 127
11 76
12 107
13 14
14 48
15 15
16 53
17 5
18 77
19 1
20 68

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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