Xiaogang Wang

4.2k total citations · 2 hit papers
53 papers, 2.7k citations indexed

About

Xiaogang Wang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Xiaogang Wang has authored 53 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 21 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Xiaogang Wang's work include MicroRNA in disease regulation (17 papers), Circular RNAs in diseases (11 papers) and Cancer-related molecular mechanisms research (9 papers). Xiaogang Wang is often cited by papers focused on MicroRNA in disease regulation (17 papers), Circular RNAs in diseases (11 papers) and Cancer-related molecular mechanisms research (9 papers). Xiaogang Wang collaborates with scholars based in China, United States and Hong Kong. Xiaogang Wang's co-authors include Shihua Yang, Qunshan Huang, Xiaohui Zhang, Louis Y. Tee, Jia Xiao, Yao Sun, Mingxiang Cai, Yayu Wang, Jiafan Liu and Xiaojia Chen and has published in prestigious journals such as Circulation, Nature Communications and ACS Nano.

In The Last Decade

Xiaogang Wang

51 papers receiving 2.7k citations

Hit Papers

Off-target Effects in CRISPR/Cas9-mediated Genome Enginee... 2015 2026 2018 2022 2015 2024 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Off-target Effects in CRISPR/Cas9-mediated Genome Engineering
    2015 920 citations Xiaogang Wang et al. profile →
  2. Multiscale architecture design of 3D printed biodegradable Zn-based porous scaffolds for immunomodulatory osteogenesis
    2024 53 citations Shuang Li, Hongtao Yang et al. Nature Communications profile →

Peers

Xiaogang Wang
Xu Han China
Ángel Ayuso‐Sacido Spain
Geppino Falco Italy
Ehsan Arefian Iran
Hui Shen China
Tiziana Nardò Italy
Andreia Silva Portugal
Pilar Blancafort Australia
Xu Han China
Xiaogang Wang
Citations per year, relative to Xiaogang Wang Xiaogang Wang (= 1×) peers Xu Han

Countries citing papers authored by Xiaogang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaogang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaogang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaogang Wang. A scholar is included among the top collaborators of Xiaogang 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 Xiaogang Wang. Xiaogang 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.
2.
Ma, Sanyuan, Tong Zhang, Ruolin Wang, et al.. (2024). High-throughput and genome-scale targeted mutagenesis using CRISPR in a nonmodel multicellular organism, Bombyx mori. Genome Research. 34(1). 134–144. 4 indexed citations
3.
Feng, Ru, Jun Chen, Yicheng Li, et al.. (2024). A RANKL-UCHL1-sCD13 negative feedback loop limits osteoclastogenesis in subchondral bone to prevent osteoarthritis progression. Nature Communications. 15(1). 8792–8792. 11 indexed citations
4.
Li, Shuang, Hongtao Yang, Xinhua Qu, et al.. (2024). Multiscale architecture design of 3D printed biodegradable Zn-based porous scaffolds for immunomodulatory osteogenesis. Nature Communications. 15(1). 3131–3131. 53 indexed citations breakdown →
5.
Wang, Xiaogang, et al.. (2024). Second-order Spatial Measures Low Overlap Rate Point Cloud Registration Algorithm Based On FPFH Features1. AI Communications. 37(4). 599–617.
6.
Tan, Mingdian, Xiaogang Wang, Yan Wang, et al.. (2023). Extracellular Vesicles (EVs) in Tumor Diagnosis and Therapy. Technology in Cancer Research & Treatment. 22. 2223913351–2223913351. 9 indexed citations
7.
Zhang, Cheng, et al.. (2023). Laser ablation on vascular diseases: mechanisms and influencing factors. Lasers in Medical Science. 39(1). 18–18. 4 indexed citations
8.
Zhang, Lei, Yunpeng Ding, Na Tang, et al.. (2023). Primary cilia support cartilage regeneration after injury. International Journal of Oral Science. 15(1). 22–22. 9 indexed citations
9.
Yang, Jie, Shanshan Li, Zhenyan Li, et al.. (2023). Targeting YAP1‐regulated Glycolysis in Fibroblast‐Like Synoviocytes Impairs Macrophage Infiltration to Ameliorate Diabetic Osteoarthritis Progression. Advanced Science. 11(5). e2304617–e2304617. 42 indexed citations
10.
Zhang, Han, et al.. (2023). Tooth number abnormality: from bench to bedside. International Journal of Oral Science. 15(1). 5–5. 31 indexed citations
11.
Fu, Bo, Kangjun Zhao, Yule Zhang, et al.. (2023). Recent advances and future outlook in mode-locked lasers with multimode fibers. Applied Physics Reviews. 10(4). 16 indexed citations
12.
Jin, Fujun, Meijing Liu, Dake Zhang, & Xiaogang Wang. (2022). Translational perspective on bone-derived cytokines in inter-organ communications. The Innovation. 4(1). 100365–100365. 14 indexed citations
13.
Cai, Mingxiang, Fujun Jin, Junhui Li, et al.. (2022). Generation of functional oligopeptides that promote osteogenesis based on unsupervised deep learning of protein IDRs. Bone Research. 10(1). 23–23. 13 indexed citations
14.
Jin, Fujun, Junhui Li, Yong‐Biao Zhang, et al.. (2021). A functional motif of long noncoding RNA Nron against osteoporosis. Nature Communications. 12(1). 3319–3319. 55 indexed citations
15.
Wang, Xiaogang, Rajwali Khan, Jie Cheng, et al.. (2021). Circular RNA circMYL1 Inhibit Proliferation and Promote Differentiation of Myoblasts by Sponging miR-2400. Cells. 10(1). 176–176. 19 indexed citations
16.
Wang, Xiaogang, Qianqian Shi, Li Cui, et al.. (2020). Tumor-derived exosomes facilitate tumor cells escape from drug therapy in clear cell renal cell carcinoma. Translational Cancer Research. 9(5). 3416–3425. 9 indexed citations
17.
Sun, Yao, Mingxiang Cai, Jiayong Zhong, et al.. (2019). The long noncoding RNA lnc-ob1 facilitates bone formation by upregulating Osterix in osteoblasts. Nature Metabolism. 1(4). 485–496. 47 indexed citations
18.
Zhou, Pengjun, Ziyao Li, Dandan Xu, et al.. (2019). Cepharanthine Hydrochloride Improves Cisplatin Chemotherapy and Enhances Immunity by Regulating Intestinal Microbes in Mice. Frontiers in Cellular and Infection Microbiology. 9. 225–225. 31 indexed citations
19.
Li, Shan, et al.. (2009). ERCC1 and BRCA1 expressions in advanced non-small cell lung cancer and their relationship with cisplatin resistance.. Tumori. 29(6). 571–574. 4 indexed citations
20.
Wang, Xiaogang. (2004). Studies on Callus Induction of Camptotheca Acuminata Decaisne and Camptothecin Production. Yiyao daobao. 1 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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