Xinyu Wen

2.8k total citations
42 papers, 839 citations indexed

About

Xinyu Wen is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Xinyu Wen has authored 42 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Xinyu Wen's work include CAR-T cell therapy research (10 papers), Neuroblastoma Research and Treatments (6 papers) and Sarcoma Diagnosis and Treatment (4 papers). Xinyu Wen is often cited by papers focused on CAR-T cell therapy research (10 papers), Neuroblastoma Research and Treatments (6 papers) and Sarcoma Diagnosis and Treatment (4 papers). Xinyu Wen collaborates with scholars based in United States, China and United Kingdom. Xinyu Wen's co-authors include Javed Khan, Jun S. Wei, Young Song, Na Li, Rimas J. Orentas, Crystal L. Mackall, Rajesh Patidar, James J. Yang, Xin Teng and Yan Yuan and has published in prestigious journals such as Nature Communications, Nature Genetics and Journal of Clinical Oncology.

In The Last Decade

Xinyu Wen

40 papers receiving 826 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xinyu Wen United States 15 444 200 190 136 124 42 839
Eva Løbner Lund Denmark 15 408 0.9× 235 1.2× 212 1.1× 91 0.7× 50 0.4× 45 753
Nicolas Gadot France 20 520 1.2× 197 1.0× 108 0.6× 54 0.4× 44 0.4× 46 990
Xinjun Wang China 16 475 1.1× 129 0.6× 219 1.2× 93 0.7× 54 0.4× 68 844
Joseph L. Lasky United States 13 430 1.0× 193 1.0× 163 0.9× 96 0.7× 74 0.6× 36 852
Eckart Richter Germany 9 371 0.8× 184 0.9× 284 1.5× 228 1.7× 144 1.2× 15 972
Nicole Parker Australia 10 388 0.9× 391 2.0× 276 1.5× 179 1.3× 81 0.7× 16 1.1k
Khoa Nguyen United States 17 399 0.9× 216 1.1× 167 0.9× 62 0.5× 57 0.5× 38 976
Yamei Gao United States 9 327 0.7× 198 1.0× 160 0.8× 104 0.8× 66 0.5× 9 1.0k
Julia Huber Austria 17 377 0.8× 362 1.8× 154 0.8× 71 0.5× 52 0.4× 31 1.1k
Christo Kole Greece 11 277 0.6× 319 1.6× 112 0.6× 107 0.8× 21 0.2× 17 668

Countries citing papers authored by Xinyu Wen

Since Specialization
Citations

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

Fields of papers citing papers by Xinyu Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinyu Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Xinyu Wen. A scholar is included among the top collaborators of Xinyu Wen 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 Xinyu Wen. Xinyu Wen 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
1.
Wang, Weibo, Xinyu Wen, Mingze Zhang, et al.. (2025). A gate-aware GRU model with trend-residual decomposition and quantile regression for remaining useful life prediction of IGBT. Microelectronics Journal. 165. 106852–106852.
2.
Tian, Meijie, Jun S. Wei, Adam Cheuk, et al.. (2024). CAR T-cells targeting FGFR4 and CD276 simultaneously show potent antitumor effect against childhood rhabdomyosarcoma. Nature Communications. 15(1). 6222–6222. 10 indexed citations
3.
Song, Young, Purushottam B. Tiwari, Hsien-Chao Chou, et al.. (2023). Piperacetazine Directly Binds to the PAX3::FOXO1 Fusion Protein and Inhibits Its Transcriptional Activity. Cancer Research Communications. 3(10). 2030–2043. 3 indexed citations
4.
Tian, Meijie, Adam Cheuk, David Milewski, et al.. (2023). Abstract 1784: FGFR4 and CD276 dual targeting CAR T cells demonstrate synergistic antitumor activity in childhood rhabdomyosarcoma. Cancer Research. 83(7_Supplement). 1784–1784. 1 indexed citations
5.
Kim, Yong, Robert G. Hawley, Teresa S. Hawley, et al.. (2023). Abstract 3538: Endogenous HiBiT-tagging of PAX3-FOXO1 identifies potent suppressors of PAX3-FOXO1 protein levels by high-throughput screening. Cancer Research. 83(7_Supplement). 3538–3538. 1 indexed citations
6.
Yu, Guangyang, Ying Pang, Chimene Kesserwan, et al.. (2021). Tumor Mutation Burden, Expressed Neoantigens and the Immune Microenvironment in Diffuse Gliomas. Cancers. 13(23). 6092–6092. 22 indexed citations
7.
He, Qingnan, et al.. (2020). POLE Mutation Characteristics in a Chinese Cohort with Endometrial Carcinoma. SHILAP Revista de lepidopterología. 1 indexed citations
8.
Wei, Jun S., Andrew S. Brohl, Sivasish Sindiri, et al.. (2020). Abstract PR17: Immunogenomic landscape of pediatric solid malignancies. Cancer Research. 80(14_Supplement). PR17–PR17. 1 indexed citations
9.
Gao, Xin, Wei Zheng, Xinyu Wen, et al.. (2019). Exploration of bladder cancer-associated methylated miRNAs by methylated DNA immunoprecipitation sequencing. SHILAP Revista de lepidopterología. 1 indexed citations
10.
Yuan, Yan, Jia Fang, Xinyu Wen, et al.. (2019). Therapeutic applications of adipose-derived mesenchymal stem cells on acute liver injury in canines. Research in Veterinary Science. 126. 233–239. 10 indexed citations
11.
Wei, Jun S., Igor B. Kuznetsov, Shile Zhang, et al.. (2018). Clinically Relevant Cytotoxic Immune Cell Signatures and Clonal Expansion of T-Cell Receptors in High-Risk MYCN -Not-Amplified Human Neuroblastoma. Clinical Cancer Research. 24(22). 5673–5684. 76 indexed citations
12.
13.
Orentas, Rimas J., Sivasish Sindiri, Christine Duris, et al.. (2017). Paired Expression Analysis of Tumor Cell Surface Antigens. Frontiers in Oncology. 7. 173–173. 13 indexed citations
14.
Brohl, Andrew S., Rajesh Patidar, Clesson Turner, et al.. (2017). Frequent inactivating germline mutations in DNA repair genes in patients with Ewing sarcoma. Genetics in Medicine. 19(8). 955–958. 56 indexed citations
15.
Metaferia, Belhu, Jun S. Wei, Young Song, et al.. (2013). Development of Peptide Nucleic Acid Probes for Detection of the HER2 Oncogene. PLoS ONE. 8(4). e58870–e58870. 18 indexed citations
16.
Liu, Zhiqiang, Xinyu Wen, Haibin Wang, et al.. (2013). Molecular Imaging of Induced Pluripotent Stem Cell Immunogenicity with In Vivo Development in Ischemic Myocardium. PLoS ONE. 8(6). e66369–e66369. 17 indexed citations
17.
Briggs, Joseph, Melissa Paoloni, Qingrong Chen, et al.. (2011). A Compendium of Canine Normal Tissue Gene Expression. PLoS ONE. 6(5). e17107–e17107. 28 indexed citations
18.
Wang, Yu, et al.. (2010). Serological AFP/Golgi protein 73 could be a new diagnostic parameter of hepatic diseases. International Journal of Cancer. 129(8). 1923–1931. 76 indexed citations
19.
Wei, Jun S., Peter A. Johansson, Qingrong Chen, et al.. (2009). microRNA Profiling Identifies Cancer-Specific and Prognostic Signatures in Pediatric Malignancies. Clinical Cancer Research. 15(17). 5560–5568. 44 indexed citations
20.
Wen, Xinyu, Hang Liu, Victor Ruotti, et al.. (2004). ChromSorter PC: A database of chromosomal regions associated with human prostate cancer. BMC Genomics. 5(1). 27–27. 2 indexed citations

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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