Xiaowei Wang

13.8k total citations · 5 hit papers
124 papers, 9.4k citations indexed

About

Xiaowei Wang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Xiaowei Wang has authored 124 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Molecular Biology, 53 papers in Cancer Research and 18 papers in Oncology. Recurrent topics in Xiaowei Wang's work include Cancer-related molecular mechanisms research (33 papers), MicroRNA in disease regulation (29 papers) and RNA modifications and cancer (18 papers). Xiaowei Wang is often cited by papers focused on Cancer-related molecular mechanisms research (33 papers), MicroRNA in disease regulation (29 papers) and RNA modifications and cancer (18 papers). Xiaowei Wang collaborates with scholars based in United States, China and France. Xiaowei Wang's co-authors include Yuhao Chen, Nathan Wong, Weijun Liu, Issam El Naqa, James S. Lewis, Gongyu Tang, Minsu Cho, Julie K. Schwarz, Xiaoxia Hu and Rebecca D. Chernock and has published in prestigious journals such as Nucleic Acids Research, Nature Medicine and Bioinformatics.

In The Last Decade

Xiaowei Wang

116 papers receiving 9.2k citations

Hit Papers

miRDB: an online database for pr... 2008 2026 2014 2020 2019 2014 2008 2019 2021 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaowei Wang United States 37 6.9k 5.4k 808 770 586 124 9.4k
Cun‐Yu Wang United States 57 6.6k 1.0× 2.0k 0.4× 1.8k 2.3× 1.6k 2.0× 561 1.0× 115 10.8k
Lianbo Yu United States 37 4.1k 0.6× 3.0k 0.6× 1.7k 2.1× 1.3k 1.7× 917 1.6× 155 7.6k
Xiaofeng Zhou United States 44 3.6k 0.5× 2.5k 0.5× 758 0.9× 407 0.5× 344 0.6× 115 5.9k
Xiaojun Ma China 41 2.7k 0.4× 1.5k 0.3× 1.8k 2.2× 783 1.0× 511 0.9× 167 6.6k
Xiao‐Jing Wang United States 48 5.6k 0.8× 1.4k 0.3× 3.2k 3.9× 1.5k 1.9× 671 1.1× 179 9.7k
Myriam Polette France 51 2.9k 0.4× 2.5k 0.5× 2.6k 3.2× 678 0.9× 875 1.5× 145 6.5k
Jianjun Chen United States 62 10.5k 1.5× 5.4k 1.0× 1.4k 1.7× 2.1k 2.7× 398 0.7× 270 13.5k
Xuefeng Liu United States 39 2.8k 0.4× 1.0k 0.2× 1.1k 1.4× 554 0.7× 1.0k 1.7× 192 6.0k
Marc Mareel Belgium 46 4.4k 0.6× 1.3k 0.2× 2.5k 3.1× 740 1.0× 911 1.6× 131 7.9k
Eiichi Morii Japan 53 4.3k 0.6× 1.4k 0.3× 2.5k 3.1× 2.9k 3.8× 1.4k 2.3× 431 10.4k

Countries citing papers authored by Xiaowei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaowei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaowei Wang. A scholar is included among the top collaborators of Xiaowei 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 Xiaowei Wang. Xiaowei 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
2.
Lu, Xuke, Kang Zhao, Yapeng Fan, et al.. (2025). GhDMT7‐mediated DNA methylation dynamics enhance starch and sucrose metabolism pathways to confer salt tolerance in cotton. The Plant Journal. 123(2). e70364–e70364.
4.
Gao, Chunsheng, et al.. (2025). Exosome-Delivered Hsa_Circ_0000116 Facilitates Osteosarcoma Cell Malignancy via PI3K/Akt/mTOR and p38/MAPK Pathways. DNA and Cell Biology. 44(3). 153–160. 1 indexed citations
5.
Wang, Xiaowei, et al.. (2024). Active Detection of Interphase Faults in Distribution Networks Based on Energy Relative Entropy and Manhattan Distance. Electric Power Systems Research. 241. 111397–111397. 1 indexed citations
6.
Pan, Tongtong, Zhiyi Chen, Xiaowei Wang, et al.. (2024). Nicotine aggravates high-fat diet-induced non-alcoholic fatty liver disease in mice via inhibition of CISD3. International Immunopharmacology. 142(Pt A). 113067–113067. 3 indexed citations
7.
Tang, Gongyu, et al.. (2024). SpatialDeX Is a Reference-Free Method for Cell-Type Deconvolution of Spatial Transcriptomics Data in Solid Tumors. Cancer Research. 85(1). 171–182. 2 indexed citations
8.
Wang, Xiaowei, Jian Lan, Xiao Xiao, et al.. (2023). Healthy sleep pattern reduce the risk of cardiovascular disease: A 10-year prospective cohort study. Sleep Medicine. 105. 53–60. 14 indexed citations
9.
Sun, Lulu, et al.. (2023). Deep-supervised adversarial learning-based classification for digital histologic images. 70–70. 1 indexed citations
10.
Li, Mengxing, et al.. (2023). A test of miR-128-3p and miR-33a-5p in serum exosome as biomarkers for auxiliary diagnosis of non-small cell lung cancer. Journal of Thoracic Disease. 15(5). 2616–2626. 11 indexed citations
11.
Ghosh, Subhajit, Jiayi Huang, Matthew Inkman, et al.. (2023). Radiation-induced circulating myeloid-derived suppressor cells induce systemic lymphopenia after chemoradiotherapy in patients with glioblastoma. Science Translational Medicine. 15(680). eabn6758–eabn6758. 60 indexed citations
12.
Huang, Ying, et al.. (2023). The Prognosis of Patients Tested Positive for Stenotrophomonas maltophilia from Different Sources. Infection and Drug Resistance. Volume 16. 4779–4787. 4 indexed citations
13.
Yamasaki, Evan, Pratish Thakore, Sher Ali, et al.. (2023). Impaired intracellular Ca 2+ signaling contributes to age-related cerebral small vessel disease in Col4a1 mutant mice. Science Signaling. 16(811). eadi3966–eadi3966. 11 indexed citations
14.
Li, Shan, Sridhar Nonavinkere Srivatsan, Yuhao Chen, et al.. (2021). Nonsense-Mediated RNA Decay Is a Unique Vulnerability of Cancer Cells Harboring SF3B1 or U2AF1 Mutations. Cancer Research. 81(17). 4499–4513. 37 indexed citations
15.
Yap, Timothy A., Jane N. Winter, Lisa Giulino‐Roth, et al.. (2019). Phase I Study of the Novel Enhancer of Zeste Homolog 2 (EZH2) Inhibitor GSK2816126 in Patients with Advanced Hematologic and Solid Tumors. Clinical Cancer Research. 25(24). 7331–7339. 128 indexed citations
16.
Jiang, Yinghao, et al.. (2019). ZEB2-AS1 Accelerates Epithelial/Mesenchymal Transition Through miR-1205/CRKL Pathway in Colorectal Cancer. Cancer Biotherapy and Radiopharmaceuticals. 35(2). 153–162. 15 indexed citations
17.
Volders, Pieter‐Jan, Kenny Helsens, Xiaowei Wang, et al.. (2013). LNCipedia: A database for annotated human lncRNA transcript sequences and structures. Digital Commons@Becker (Washington University School of Medicine). 1 indexed citations
18.
Hu, Xiaoxia, Julie K. Schwarz, James S. Lewis, et al.. (2010). A MicroRNA Expression Signature for Cervical Cancer Prognosis. Cancer Research. 70(4). 1441–1448. 247 indexed citations
19.
Wang, Xiaowei, et al.. (2009). [Expression of Beclin1 in primary hepatocellular carcinoma].. PubMed. 29(1). 151–3. 1 indexed citations
20.
Leri, Annarosa, Yu Liu, Pier Paolo Claudio, et al.. (1999). Insulin-Like Growth Factor-1 Induces Mdm2 and Down-Regulates p53, Attenuating the Myocyte Renin-Angiotensin System and Stretch-Mediated Apoptosis. American Journal Of Pathology. 154(2). 567–580. 99 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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