Xusheng Wang

7.3k total citations · 4 hit papers
92 papers, 4.6k citations indexed

About

Xusheng Wang is a scholar working on Molecular Biology, Urology and Biomedical Engineering. According to data from OpenAlex, Xusheng Wang has authored 92 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 17 papers in Urology and 11 papers in Biomedical Engineering. Recurrent topics in Xusheng Wang's work include Hair Growth and Disorders (16 papers), Nanoplatforms for cancer theranostics (10 papers) and Wound Healing and Treatments (9 papers). Xusheng Wang is often cited by papers focused on Hair Growth and Disorders (16 papers), Nanoplatforms for cancer theranostics (10 papers) and Wound Healing and Treatments (9 papers). Xusheng Wang collaborates with scholars based in China, United States and Canada. Xusheng Wang's co-authors include Lin Mei, Xiaowei Zeng, Yaojiong Wu, Wei Tao, Xiaoyuan Ji, Edward E. Tredget, Gan Liu, Jianfeng Ge, Miaomiao Luo and Quanlan Xiao and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and ACS Nano.

In The Last Decade

Xusheng Wang

86 papers receiving 4.6k citations

Hit Papers

Black Phosphorus Nanosheets as a Robust Delivery Platform... 2016 2026 2019 2022 2016 2018 2020 2024 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xusheng Wang China 30 1.8k 1.7k 1.0k 781 416 92 4.6k
Fangyin Dai China 41 1.9k 1.0× 1.1k 0.7× 544 0.5× 1.9k 2.4× 494 1.2× 248 6.0k
Andreia C. Gomes Portugal 33 1.3k 0.7× 896 0.5× 366 0.4× 1.1k 1.4× 165 0.4× 147 3.8k
Tao Chen China 33 1.0k 0.6× 1.1k 0.6× 277 0.3× 545 0.7× 198 0.5× 212 3.9k
Beom Joon Kim South Korea 46 1.1k 0.6× 1.5k 0.9× 1.4k 1.3× 266 0.3× 374 0.9× 497 9.4k
Anne des Rieux Belgium 40 1.8k 1.0× 1000 0.6× 349 0.3× 1.8k 2.3× 231 0.6× 88 5.9k
Yifei Lü China 40 2.0k 1.1× 2.3k 1.4× 545 0.5× 1.8k 2.3× 660 1.6× 139 5.8k
Di Wen China 38 2.0k 1.1× 2.0k 1.2× 313 0.3× 901 1.2× 158 0.4× 75 5.8k
Lin Han United States 42 1.1k 0.6× 1.5k 0.9× 273 0.3× 861 1.1× 138 0.3× 154 5.8k
Yanqi Ye United States 29 2.1k 1.1× 3.1k 1.9× 468 0.5× 1.6k 2.1× 141 0.3× 49 7.2k
Weien Yuan China 42 1.7k 0.9× 2.2k 1.3× 1.0k 1.0× 1.6k 2.0× 221 0.5× 152 6.1k

Countries citing papers authored by Xusheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xusheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xusheng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xusheng Wang. A scholar is included among the top collaborators of Xusheng 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 Xusheng Wang. Xusheng 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.
Zuo, Yanning, Alexander S. Hatoum, Price E. Dickson, et al.. (2025). Acute opioid responses are modulated by dynamic interactions of Oprm1 and Fgf12. eLife.
2.
Zhang, Chi, et al.. (2025). A selective TiO2-x/Ni catalyst derived from NiTi-layered double hydroxides for efficient photothermal CO2 methanation. Applied Catalysis A General. 708. 120613–120613.
3.
Zuo, Yanning, Alexander S. Hatoum, Price E. Dickson, et al.. (2025). Acute opioid responses are modulated by dynamic interactions of Oprm1 and Fgf12. eLife.
4.
Chai, Yuqiao, Xinlei Ma, Yonglin He, et al.. (2024). Electrical anisotropy in two-dimensional reduced graphene oxide/ polypyrrole-based ordered conjugated system ensure multi-stimulus response signal adapter. Science China Materials. 67(12). 3966–3975. 2 indexed citations
5.
Li, Miaomiao, Xusheng Wang, Bin Sun, et al.. (2024). Treatment experience for different risk groups of Kaposiform hemangioendothelioma. Frontiers in Oncology. 14. 1336763–1336763. 2 indexed citations
6.
Li, Xinxin, Yilin Luo, Xiaojing Zhao, et al.. (2023). Cooperation of TGF‐β and FGF signalling pathways in skin development. Cell Proliferation. 56(11). e13489–e13489. 19 indexed citations
7.
Li, Miaomiao, Ying Gao, Xiaojing Zhao, et al.. (2023). Natural Compound Isoliensinine Inhibits Stress‐Induced Hair Greying by Blocking β2‐Adrenoceptor. Journal of Clinical Pharmacy and Therapeutics. 2023(1). 2 indexed citations
8.
He, Jia, Wenting Huang, Xinxin Li, et al.. (2023). A new ferroptosis-related genetic mutation risk model predicts the prognosis of skin cutaneous melanoma. Frontiers in Genetics. 13. 988909–988909. 1 indexed citations
9.
He, Jia, et al.. (2022). Single-cell analysis reveals distinct functional heterogeneity of CD34+ cells in anagen wound and diabetic wound. Biochemical and Biophysical Research Communications. 639. 9–19. 4 indexed citations
10.
Han, Jimin, et al.. (2022). β-Catenin Signaling Evokes Hair Follicle Senescence by Accelerating the Differentiation of Hair Follicle Mesenchymal Progenitors. Frontiers in Cell and Developmental Biology. 10. 839519–839519. 8 indexed citations
11.
Wang, Xusheng, et al.. (2021). Pulmonary Diffuse Airspace Opacities Diagnosis from Chest X-Ray Images Using Deep Convolutional Neural Networks Fine-Tuned by Whale Optimizer. Wireless Personal Communications. 124(2). 1355–1374. 28 indexed citations
12.
Benfeitas, Rui, Sophia Schedin‐Weiss, Erika Bereczki, et al.. (2021). Insights into the changes in the proteome of Alzheimer disease elucidated by a meta-analysis. Scientific Data. 8(1). 312–312. 19 indexed citations
13.
Wang, Xusheng. (2019). Stem cells in tissues, organoids, and cancers. Cellular and Molecular Life Sciences. 76(20). 4043–4070. 52 indexed citations
14.
Cheng, Jun, Jie Zhang, Xusheng Wang, et al.. (2017). Integrative Analysis of Histopathological Images and Genomic Data Predicts Clear Cell Renal Cell Carcinoma Prognosis. Cancer Research. 77(21). e91–e100. 98 indexed citations
15.
Nie, Junpeng, Wei Cheng, Gan Liu, et al.. (2017). Co-delivery of docetaxel and bortezomib based on a targeting nanoplatform for enhancing cancer chemotherapy effects. Drug Delivery. 24(1). 1124–1138. 50 indexed citations
16.
Wang, Xusheng, et al.. (2017). Therapeutic effect of berberine on renal atherosclerosis. Biomedical Research-tokyo. 28(20). 8974–8976. 1 indexed citations
17.
Zhang, Naili, Mo Zhou, Yumin Zhang, et al.. (2013). Porcine bone grafts defatted by lipase: efficacy of defatting and assessment of cytocompatibility. Cell and Tissue Banking. 15(3). 357–367. 15 indexed citations
18.
Porcu, Patrizia, Todd K. O’Buckley, Jo Lynne Harenza, et al.. (2011). Genetic Analysis of the Neurosteroid Deoxycorticosterone and Its Relation to Alcohol Phenotypes: Identification of QTLs and Downstream Gene Regulation. PLoS ONE. 6(4). e18405–e18405. 10 indexed citations
19.
Wang, Xusheng, Edward E. Tredget, & Yaojiong Wu. (2011). Dynamic Signals for Hair Follicle Development and Regeneration. Stem Cells and Development. 21(1). 7–18. 67 indexed citations
20.
Wang, Xusheng, et al.. (2009). Hollow Fiber-Based Liquid Phase Microextraction Combined with High Performance Liquid Chromatography for Determination of Flavonoids in Ginkgo biloba and Urine. Chemia Analityczna. 54(3). 309–319.

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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