Xiaojing Wang

2.3k total citations · 1 hit paper
47 papers, 1.7k citations indexed

About

Xiaojing Wang is a scholar working on Cancer Research, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Xiaojing Wang has authored 47 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cancer Research, 23 papers in Molecular Biology and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Xiaojing Wang's work include Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (8 papers) and MicroRNA in disease regulation (7 papers). Xiaojing Wang is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (8 papers) and MicroRNA in disease regulation (7 papers). Xiaojing Wang collaborates with scholars based in China, United States and Malaysia. Xiaojing Wang's co-authors include Baharin Bin Ahmad, Himan Shahabi, Wei Chen, Shaojun Li, Haoyuan Hong, Weifeng Xue, Biswajeet Pradhan, Huiyuan Bian, Shuai Zhang and Yang Li and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and The Science of The Total Environment.

In The Last Decade

Xiaojing Wang

44 papers receiving 1.7k citations

Hit Papers

Modeling flood susceptibility using data-driven approache... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaojing Wang China 20 776 390 386 336 319 47 1.7k
Tianwei Wang China 29 578 0.7× 185 0.5× 424 1.1× 226 0.7× 321 1.0× 136 2.6k
Ali Salajegheh Iran 26 416 0.5× 493 1.3× 291 0.8× 68 0.2× 201 0.6× 91 1.6k
Zhaoyang Zeng China 19 1.0k 1.3× 352 0.9× 438 1.1× 38 0.1× 200 0.6× 39 1.8k
Yangbing Li China 21 654 0.8× 545 1.4× 163 0.4× 249 0.7× 108 0.3× 118 1.9k
Xianyong Meng China 27 746 1.0× 250 0.6× 655 1.7× 50 0.1× 563 1.8× 72 2.0k
Xiaojie Deng China 22 703 0.9× 803 2.1× 79 0.2× 100 0.3× 154 0.5× 52 2.2k
Mingyue Liu China 29 571 0.7× 252 0.6× 233 0.6× 132 0.4× 294 0.9× 95 2.6k
Thomas Pütz Germany 35 706 0.9× 503 1.3× 560 1.5× 47 0.1× 721 2.3× 106 3.5k
Junyu Chen China 17 648 0.8× 230 0.6× 91 0.2× 95 0.3× 85 0.3× 86 1.5k
Jianwei Wei China 27 440 0.6× 987 2.5× 343 0.9× 45 0.1× 197 0.6× 88 2.8k

Countries citing papers authored by Xiaojing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojing Wang. A scholar is included among the top collaborators of Xiaojing 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 Xiaojing Wang. Xiaojing 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.
Zhong, Guoqing, et al.. (2023). Long noncoding RNA X‐inactive specific transcript (lncRNA XIST) inhibits hepatic insulin resistance by competitively binding microRNA‐182‐5p. Immunity Inflammation and Disease. 11(11). e969–e969. 2 indexed citations
3.
Ma, Chao, Xiaojun Li, Xueying Zhang, et al.. (2023). Upregulation of LPGAT1 Enhances Lung Adenocarcinoma Proliferation. Frontiers in Bioscience-Landmark. 28(5). 89–89. 5 indexed citations
4.
Lu, Litang, Xiaojing Wang, Yichen Zhao, et al.. (2021). Genome-level diversification of eight ancient tea populations in the Guizhou and Yunnan regions identifies candidate genes for core agronomic traits. Horticulture Research. 8(1). 190–190. 43 indexed citations
5.
Li, Qilin, Nighat Noureen, Raushan T. Kurmasheva, et al.. (2020). PCAT: an integrated portal for genomic and preclinical testing data of pediatric cancer patient-derived xenograft models. Nucleic Acids Research. 49(D1). D1321–D1327. 11 indexed citations
6.
Li, Hao‐Dong, Changzheng Lu, He Zhang, et al.. (2020). A PoleP286R mouse model of endometrial cancer recapitulates high mutational burden and immunotherapy response. JCI Insight. 5(14). 22 indexed citations
7.
Yan, Tao, et al.. (2020). Vestibular Neuritis in Patients Among Different Age Groups: Clinical Features and Outcomes. Journal of the American Academy of Audiology. 31(9). 629–635. 10 indexed citations
8.
Wang, Xiaojing, Hongchao He, Wenbin Rui, et al.. (2020). <p>Long Non-Coding RNA BCAR4 Binds to miR-644a and Targets TLX1 to Promote the Progression of Bladder Cancer</p>. OncoTargets and Therapy. Volume 13. 2483–2490. 14 indexed citations
9.
Su, Peng, Diya Wang, Fang Zhao, et al.. (2020). MicroRNA-106b-5p participates in lead (Pb2+)-induced cell viability inhibition by targeting XIAP in HT-22 and PC12 cells. Toxicology in Vitro. 66. 104876–104876. 11 indexed citations
10.
Chen, Wei, Yang Li, Weifeng Xue, et al.. (2019). Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods. The Science of The Total Environment. 701. 134979–134979. 384 indexed citations breakdown →
11.
Chen, Wei, Haoyuan Hong, Shaojun Li, et al.. (2019). Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles. Journal of Hydrology. 575. 864–873. 247 indexed citations
12.
Liu, Xiaolin, Haiyan Zhang, Xiaojing Wang, et al.. (2019). Generation of an iPSC line (SDQLCHi015-A) from peripheral blood mononuclear cells of a patient with mental retardation type 15 carrying c.1007_1011del, p.(Ile336fs) in CUL4B gene. Stem Cell Research. 41. 101628–101628. 1 indexed citations
13.
Chen, Wei, Himan Shahabi, Shuai Zhang, et al.. (2018). Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression. Applied Sciences. 8(12). 2540–2540. 151 indexed citations
14.
Wang, Tong, Mingmin Li, Miao Yu, et al.. (2018). Genetic and clinical features of 3 cases of neonatal diabetes mellitus caused by forkhead box P3 gene mutation. 10(9). 596–600. 1 indexed citations
16.
Wang, Xiaojing, Wei Li, Liangkun Ma, et al.. (2017). Investigation of miRNA-binding site variants and risk of gestational diabetes mellitus in Chinese pregnant women. Acta Diabetologica. 54(3). 309–316. 23 indexed citations
17.
Li, Xiaoxia, Yunze Xu, Meng Li, et al.. (2017). Apogossypolone (ApoG2) induces ROS-dependent apoptosis and reduces invasiveness of PC12 cells in vitro and in vivo.. PubMed. 9(9). 3990–4002. 6 indexed citations
18.
Wang, Xiaojing, et al.. (2017). The nuclear protein-coding gene ANKRD23 negatively regulates myoblast differentiation. Gene. 629. 68–75. 3 indexed citations
19.
Chen, Hongxia, Ning Wang, Yuxia Guo, et al.. (2016). The expression and function of E3 ligase SIAH2 in acute T lymphoblastic leukemia. Leukemia Research. 42. 28–36. 13 indexed citations
20.
Wang, Xiaojing, Yunkou Wu, Todd C. Soesbe, et al.. (2015). A pH‐Responsive MRI Agent that Can Be Activated Beyond the Tissue Magnetization Transfer Window. Angewandte Chemie International Edition. 54(30). 8662–8664. 28 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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