Xujie Wang

2.1k total citations · 4 hit papers
39 papers, 1.6k citations indexed

About

Xujie Wang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Xujie Wang has authored 39 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Genetics. Recurrent topics in Xujie Wang's work include Wound Healing and Treatments (7 papers), Mesenchymal stem cell research (6 papers) and Cancer-related molecular mechanisms research (5 papers). Xujie Wang is often cited by papers focused on Wound Healing and Treatments (7 papers), Mesenchymal stem cell research (6 papers) and Cancer-related molecular mechanisms research (5 papers). Xujie Wang collaborates with scholars based in China, United States and Italy. Xujie Wang's co-authors include Dahai Hu, Yunchuan Wang, Yan Li, Weixia Cai, Kuo Shen, Liang Luo, Jihong Shi, Kaituo Liu, Fu Han and Bin Zhao and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Bioresource Technology.

In The Last Decade

Xujie Wang

37 papers receiving 1.6k citations

Hit Papers

Cell-free therapy based on adipose tissue stem cell-deriv... 2018 2026 2020 2023 2018 2023 2021 2024 50 100 150 200 250

Peers

Xujie Wang
Juan Luo China
Xujie Wang
Citations per year, relative to Xujie Wang Xujie Wang (= 1×) peers Juan Luo

Countries citing papers authored by Xujie Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xujie Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xujie Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xujie Wang. A scholar is included among the top collaborators of Xujie 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 Xujie Wang. Xujie 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.
Zhang, Lixia, Kuo Shen, Kejia Wang, et al.. (2024). Exosomes derived from mouse vibrissa dermal papilla cells promote hair follicle regeneration during wound healing by activating Wnt/β-catenin signaling pathway. Journal of Nanobiotechnology. 22(1). 17 indexed citations
2.
Wang, Xujie, Kuo Shen, Danni Li, et al.. (2024). Epac1 activation optimizes cellular functions of BMSCs and promotes wound healing via Erk/ACLY/PGC-1α signaling pathway. European Journal of Pharmacology. 985. 177124–177124.
3.
Zhang, Xuexue, Rui Wei, Xujie Wang, et al.. (2024). The neutrophil-to-lymphocyte ratio is associated with all-cause and cardiovascular mortality among individuals with hypertension. Cardiovascular Diabetology. 23(1). 117–117. 70 indexed citations breakdown →
4.
Wang, Feng, et al.. (2023). Deep reinforcement learning for multi-objective combinatorial optimization: A case study on multi-objective traveling salesman problem. Swarm and Evolutionary Computation. 83. 101398–101398. 22 indexed citations
5.
Wang, Xujie, Xuexue Zhang, Wantong Zhang, et al.. (2023). Association of Sodium-Glucose Cotransporter 2 Inhibitors (SGLT2i) with Cardiac Arrhythmias: A Systematic Review and Meta-Analysis of Cardiovascular Outcome Trials. Reviews in Cardiovascular Medicine. 24(9). 258–258. 3 indexed citations
6.
Wang, Kejia, Kuo Shen, Fu Han, et al.. (2023). Activation of Sestrin2 accelerates deep second-degree burn wound healing through PI3K/AKT pathway. Archives of Biochemistry and Biophysics. 743. 109645–109645. 4 indexed citations
7.
Shen, Kuo, Xujie Wang, Yunwei Wang, et al.. (2023). miR-125b-5p in adipose derived stem cells exosome alleviates pulmonary microvascular endothelial cells ferroptosis via Keap1/Nrf2/GPX4 in sepsis lung injury. Redox Biology. 62. 102655–102655. 187 indexed citations breakdown →
8.
Wang, Jing, Ming Zhao, Hongyun Zhang, et al.. (2022). KLF4 Alleviates Hypertrophic Scar Fibrosis by Directly Activating BMP4 Transcription. International Journal of Biological Sciences. 18(8). 3324–3336. 25 indexed citations
9.
Shen, Kuo, Yanhui Jia, Xujie Wang, et al.. (2021). Exosomes from adipose-derived stem cells alleviate the inflammation and oxidative stress via regulating Nrf2/HO-1 axis in macrophages. Free Radical Biology and Medicine. 165. 54–66. 156 indexed citations
10.
Bai, Hua, Bin Fang, Xujie Wang, et al.. (2021). Two-photon fluorogenic probe for visualizing PGP-1 activity in inflammatory tissues and serum from patients. Chemical Communications. 57(97). 13186–13189. 5 indexed citations
11.
Li, Yan, Jian Zhang, Jihong Shi, et al.. (2021). Exosomes derived from human adipose mesenchymal stem cells attenuate hypertrophic scar fibrosis by miR-192-5p/IL-17RA/Smad axis. Stem Cell Research & Therapy. 12(1). 221–221. 177 indexed citations breakdown →
12.
Zhang, Wenming, et al.. (2021). Additives improved saprotrophic fungi for formation of humic acids in chicken manure and corn stover mix composting. Bioresource Technology. 346. 126626–126626. 26 indexed citations
13.
Bai, Xiaozhi, Xiaowei Yi, Liang Luo, et al.. (2020). New Insights Into the Skin Microbial Communities and Skin Aging. Frontiers in Microbiology. 11. 565549–565549. 62 indexed citations
15.
Fu, Xiaojun, Liang Luo, Rui Yi, et al.. (2019). Transcriptome profiling in Eid1-KO mice brain shows that Eid1 links cell proliferation in the brain. Gene. 717. 143998–143998. 3 indexed citations
16.
Zhang, Wei, Xiaozhi Bai, Bin Zhao, et al.. (2018). Cell-free therapy based on adipose tissue stem cell-derived exosomes promotes wound healing via the PI3K/Akt signaling pathway. Experimental Cell Research. 370(2). 333–342. 294 indexed citations breakdown →
17.
Shi, Jihong, Jun Li, Julei Zhang, et al.. (2018). Wild-type p53-modulated autophagy and autophagic fibroblast apoptosis inhibit hypertrophic scar formation. Laboratory Investigation. 98(11). 1423–1437. 35 indexed citations
18.
Zhang, Yijie, Yunchuan Wang, Gaofeng Wu, et al.. (2017). Prolonged skin grafts survival time by IFN-γ in allogeneic skin transplantation model during acute rejection through IFN-γ/STAT3/IDO pathway in epidermal layer. Biochemical and Biophysical Research Communications. 496(2). 436–442. 8 indexed citations
19.
Wang, Xujie, Jianxin Gao, Yunchuan Wang, et al.. (2017). Curcumin pretreatment prevents hydrogen peroxide-induced oxidative stress through enhanced mitochondrial function and deactivation of Akt/Erk signaling pathways in rat bone marrow mesenchymal stem cells. Molecular and Cellular Biochemistry. 443(1-2). 37–45. 23 indexed citations
20.
Gao, Jianxin, Xujie Wang, Yunchuan Wang, et al.. (2016). Murine Sertoli cells promote the development of tolerogenic dendritic cells: a pivotal role of galectin‐1. Immunology. 148(3). 253–265. 34 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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