Xiaozhong Wang

3.6k total citations · 1 hit paper
91 papers, 2.8k citations indexed

About

Xiaozhong Wang is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Xiaozhong Wang has authored 91 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 22 papers in Hematology and 13 papers in Cancer Research. Recurrent topics in Xiaozhong Wang's work include Extracellular vesicles in disease (11 papers), Chronic Myeloid Leukemia Treatments (11 papers) and RNA modifications and cancer (10 papers). Xiaozhong Wang is often cited by papers focused on Extracellular vesicles in disease (11 papers), Chronic Myeloid Leukemia Treatments (11 papers) and RNA modifications and cancer (10 papers). Xiaozhong Wang collaborates with scholars based in China, United States and United Kingdom. Xiaozhong Wang's co-authors include Yanmei Xu, Lin Jin, Bo Huang, Ximin Chen, Jing Liu, Xin Chen, Linfeng Huang, Jing Li, Allan Bradley and Hong Hua Su and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Genes & Development.

In The Last Decade

Xiaozhong Wang

85 papers receiving 2.7k citations

Hit Papers

Exosomes: Novel Biomarker... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaozhong Wang China 26 1.6k 711 290 257 219 91 2.8k
Pingyuan Wang United States 31 1.8k 1.2× 367 0.5× 623 2.1× 228 0.9× 170 0.8× 109 3.0k
Éric Petitclerc Canada 26 1.1k 0.7× 799 1.1× 426 1.5× 358 1.4× 275 1.3× 49 2.5k
Akira Yokoi Japan 28 1.9k 1.2× 958 1.3× 446 1.5× 101 0.4× 218 1.0× 111 3.0k
Masato Sasaki Japan 28 1.6k 1.0× 637 0.9× 378 1.3× 233 0.9× 634 2.9× 113 3.4k
Qing Xu China 28 1.3k 0.8× 714 1.0× 415 1.4× 117 0.5× 183 0.8× 102 2.7k
Matthew J. Taylor United States 21 646 0.4× 375 0.5× 237 0.8× 231 0.9× 206 0.9× 33 1.8k
Hua Chen China 30 1.7k 1.1× 854 1.2× 876 3.0× 119 0.5× 74 0.3× 90 3.6k
Shinae Kizaka‐Kondoh Japan 35 2.3k 1.4× 1.3k 1.8× 784 2.7× 79 0.3× 250 1.1× 110 4.4k
Jian Liu China 36 1.3k 0.8× 253 0.4× 533 1.8× 104 0.4× 202 0.9× 195 3.4k
Daniele Vergara Italy 31 1.6k 1.0× 585 0.8× 601 2.1× 110 0.4× 54 0.2× 105 3.4k

Countries citing papers authored by Xiaozhong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaozhong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaozhong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaozhong Wang. A scholar is included among the top collaborators of Xiaozhong 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 Xiaozhong Wang. Xiaozhong 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
1.
Qiu, Yi, Huan Zeng, Lihua Yao, et al.. (2025). Hexokinase 2-mediated histone H3K18la promotes PAI-1-dependent thrombosis in acute myeloid leukemia via tumor-endothelial crosstalk. Nature Communications. 16(1). 10168–10168.
2.
Liao, Kaili, Beining Zhang, Xue Zhang, et al.. (2025). The role of intratumoral microbiome in the occurrence, proliferation, metastasis of colorectal cancer and its underlying therapeutic strategies. Ageing Research Reviews. 111. 102820–102820. 2 indexed citations
3.
Yao, Lihua, et al.. (2025). Prognostic value of HSP27 in 28-day mortality in septic ICU patients: a retrospective cohort study. Frontiers in Medicine. 11. 1513788–1513788.
4.
Yu, Jie, et al.. (2024). Hexafluoroisopropanol-based deep eutectic solvents for efficient aqueous two-phase extraction of flavonoids from Flos Sophorae Immaturus. Separation and Purification Technology. 358. 130216–130216. 5 indexed citations
5.
Wen, Wen, et al.. (2024). Application of interpretable machine learning algorithms to predict distant metastasis in ovarian clear cell carcinoma. Cancer Medicine. 13(7). e7161–e7161. 7 indexed citations
6.
Yao, Fangyi, Ying Cheng, Wen Wen, et al.. (2024). High Expression of SRSF10 Promotes Colorectal Cancer Progression by Aberrant Alternative Splicing of RFC5. Technology in Cancer Research & Treatment. 23. 2234013794–2234013794.
7.
Yang, Weiming, et al.. (2023). The association of serum uric acid with all-cause and cardiovascular mortality among adults with rheumatoid arthritis: a cohort study. Clinical and Experimental Rheumatology. 42(1). 122–129. 3 indexed citations
8.
Li, Raymond, Kristina Gemzell‐Danielsson, Xiaozhong Wang, et al.. (2023). Comparing letrozole and mifepristone pre‐treatment in medical management of first trimester missed miscarriage: a prospective open‐label non‐inferiority randomised controlled trial. BJOG An International Journal of Obstetrics & Gynaecology. 131(3). 319–326. 2 indexed citations
9.
Yao, Fangyi, Jing Liu, Ying Cheng, et al.. (2023). Splicing factor-mediated regulation patterns reveals biological characteristics and aid in predicting prognosis in acute myeloid leukemia. Journal of Translational Medicine. 21(1). 6–6. 4 indexed citations
10.
Li, Shuqi, Jing Liu, Jing Zhang, et al.. (2020). Transcriptome profiling reveals the high incidence of hnRNPA1 exon 8 inclusion in chronic myeloid leukemia. Journal of Advanced Research. 24. 301–310. 26 indexed citations
11.
Xu, Yanmei, Jing Li, Wentao Yang, et al.. (2020). A Pooling Genome-Wide Association Study Identifies Susceptibility Loci and Signaling Pathways of Immune Thrombocytopenia in Chinese Han Population. International Journal of Genomics. 2020. 1–9. 3 indexed citations
13.
Lai, Xiaoyong, Kun Cao, Ping Xue, et al.. (2018). Ordered mesoporous NiFe2O4 with ultrathin framework for low-ppb toluene sensing. Science Bulletin. 63(3). 187–193. 30 indexed citations
14.
Min, Qinghua, Ximin Chen, Yeqing Zou, et al.. (2017). Differential expression of urinary exosomal microRNAs in IgA nephropathy. Journal of Clinical Laboratory Analysis. 32(2). 60 indexed citations
15.
Yuan, Juanli, Chunyan Zhou, Jinyan Gao, et al.. (2017). Prevalence of Celiac Disease Autoimmunity Among Adolescents and Young Adults in China. Clinical Gastroenterology and Hepatology. 15(10). 1572–1579.e1. 44 indexed citations
16.
Zhang, Jing, Qinghua Min, Yanmei Xu, et al.. (2016). Association Between TNF-α -308G/A Polymorphism and Risk of Immune Thrombocytopenia: A Meta-Analysis. Genetic Testing and Molecular Biomarkers. 21(2). 80–85. 6 indexed citations
17.
Wang, Ling, et al.. (2014). Association of a Methylene Tetrahydrofolate Reductase C677T Polymorphism with Several Blood Chemical Levels in a Chinese Population. Genetic Testing and Molecular Biomarkers. 19(1). 24–29. 13 indexed citations
18.
Xiao, Yun, Jing Li, Jing Liu, et al.. (2012). Imatinib regulates the alternative pre-mRNA splicing of Bcl-x in K562 cells. Asian Biomedicine. 6(3). 351–359. 1 indexed citations
19.
Chen, Jun, et al.. (2011). The first principles study on mechanical propertiesof He doped grain boundary of Al. Acta Physica Sinica. 60(7). 77104–77104. 3 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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