Huibo Wang

1.6k total citations
32 papers, 1.1k citations indexed

About

Huibo Wang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Huibo Wang has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 16 papers in Cancer Research and 8 papers in Genetics. Recurrent topics in Huibo Wang's work include DNA Repair Mechanisms (9 papers), Glioma Diagnosis and Treatment (8 papers) and Cancer, Hypoxia, and Metabolism (7 papers). Huibo Wang is often cited by papers focused on DNA Repair Mechanisms (9 papers), Glioma Diagnosis and Treatment (8 papers) and Cancer, Hypoxia, and Metabolism (7 papers). Huibo Wang collaborates with scholars based in China, United States and Sweden. Huibo Wang's co-authors include Daru Lu, Zhengxin Chen, Wenting Wu, Jia‐Cheng Lu, Yongping You, Ligang Fan, Ning Liu, Xiaomin Cai, Shuyu Zhang and Shiguang Zhao and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Cancer Cell.

In The Last Decade

Huibo Wang

31 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huibo Wang China 20 834 466 214 121 90 32 1.1k
Guan Sun China 20 904 1.1× 692 1.5× 134 0.6× 115 1.0× 42 0.5× 50 1.2k
Clare M. Adams United States 16 641 0.8× 225 0.5× 244 1.1× 51 0.4× 122 1.4× 26 858
Mary Ellen Urick United States 16 672 0.8× 352 0.8× 227 1.1× 43 0.4× 124 1.4× 22 1.3k
Haixin Lei China 21 963 1.2× 405 0.9× 239 1.1× 31 0.3× 81 0.9× 28 1.3k
Sandeep Nambiar Germany 14 674 0.8× 218 0.5× 344 1.6× 71 0.6× 51 0.6× 26 948
Vanessa Baeriswyl Switzerland 12 728 0.9× 190 0.4× 452 2.1× 84 0.7× 52 0.6× 14 1.1k
Valentina Serafin Italy 14 545 0.7× 294 0.6× 162 0.8× 47 0.4× 59 0.7× 28 783
Gary Zhai United States 8 516 0.6× 177 0.4× 174 0.8× 204 1.7× 77 0.9× 10 747
Anuhar Chaturvedi Germany 18 665 0.8× 167 0.4× 127 0.6× 251 2.1× 58 0.6× 33 1.1k

Countries citing papers authored by Huibo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Huibo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huibo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Huibo Wang. A scholar is included among the top collaborators of Huibo 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 Huibo Wang. Huibo 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.
Fan, Ligang, Yixuan Niu, Zhengxin Chen, et al.. (2024). UCHL3 induces radiation resistance and acquisition of mesenchymal phenotypes by deubiquitinating POLD4 in glioma stem cells. Cellular and Molecular Life Sciences. 81(1). 247–247. 6 indexed citations
2.
Liu, Yu, Cen Liu, Zhangjie Wang, et al.. (2024). Deubiquitinase PSMD14 promotes tumorigenicity of glioblastoma by deubiquitinating and stabilizing β‐catenin. BioFactors. 50(6). 1134–1147. 5 indexed citations
3.
Wang, Huibo, et al.. (2022). Allocation of Credit Resources and “Borrow to Lend” Activities: Evidence From Chinese-Listed Companies. Frontiers in Psychology. 13. 856056–856056. 2 indexed citations
4.
Zhang, Qixiang, Zhengxin Chen, Zhangjie Wang, et al.. (2022). USP21 promotes self-renewal and tumorigenicity of mesenchymal glioblastoma stem cells by deubiquitinating and stabilizing FOXD1. Cell Death and Disease. 13(8). 712–712. 23 indexed citations
5.
Chen, Zhengxin, Shuai Wang, Hailin Li, et al.. (2022). FOSL1 promotes proneural-to-mesenchymal transition of glioblastoma stem cells via UBC9/CYLD/NF-κB axis. Molecular Therapy. 30(7). 2568–2583. 49 indexed citations
6.
Wang, Bo, Jian Huang, Mengling Zhang, et al.. (2020). Carbon Dots Enable Efficient Delivery of Functional DNA in Plants. ACS Applied Bio Materials. 3(12). 8857–8864. 54 indexed citations
7.
Fan, Ligang, Zhengxin Chen, Xiaoting Wu, et al.. (2019). Ubiquitin-Specific Protease 3 Promotes Glioblastoma Cell Invasion and Epithelial–Mesenchymal Transition via Stabilizing Snail. Molecular Cancer Research. 17(10). 1975–1984. 39 indexed citations
8.
Lu, Jia‐Cheng, Hailin Li, Zhengxin Chen, et al.. (2019). Identification of 3 subpopulations of tumor-infiltrating immune cells for malignant transformation of low-grade glioma. Cancer Cell International. 19(1). 265–265. 42 indexed citations
9.
Chen, Zhengxin, Hongwei Wang, Shuai Wang, et al.. (2019). USP9X deubiquitinates ALDH1A3 and maintains mesenchymal identity in glioblastoma stem cells. Journal of Clinical Investigation. 129(5). 2043–2055. 75 indexed citations
10.
Chen, Zhengxin, Shuai Wang, Hongwei Wang, et al.. (2016). The Error-Prone DNA Polymerase κ Promotes Temozolomide Resistance in Glioblastoma through Rad17-Dependent Activation of ATR-Chk1 Signaling. Cancer Research. 76(8). 2340–2353. 48 indexed citations
11.
Hu, Jing, Tao Sun, Hui Wang, et al.. (2016). MiR-215 Is Induced Post-transcriptionally via HIF-Drosha Complex and Mediates Glioma-Initiating Cell Adaptation to Hypoxia by Targeting KDM1B. Cancer Cell. 29(1). 49–60. 96 indexed citations
12.
Zhang, Rui, Zhanjun Jia, Zhengxin Chen, et al.. (2016). Tumor Suppressor Candidate 1 Suppresses Cell Growth and Predicts Better Survival in Glioblastoma. Cellular and Molecular Neurobiology. 37(1). 37–42. 9 indexed citations
14.
Zhang, Rui, Hui Luo, Shuai Wang, et al.. (2014). miR-622 suppresses proliferation, invasion and migration by directly targeting activating transcription factor 2 in glioma cells. Journal of Neuro-Oncology. 121(1). 63–72. 43 indexed citations
15.
Tao, Tao, Yingyi Wang, Hui Luo, et al.. (2013). Involvement of FOS-mediated miR-181b/miR-21 signalling in the progression of malignant gliomas. European Journal of Cancer. 49(14). 3055–3063. 49 indexed citations
16.
Wu, Wenting, Huan Li, Huibo Wang, et al.. (2012). Effect of Polymorphisms in XPD on Clinical Outcomes of Platinum-Based Chemotherapy for Chinese Non-Small Cell Lung Cancer Patients. PLoS ONE. 7(3). e33200–e33200. 33 indexed citations
17.
Wang, Huibo, Wenting Wu, Hongwei Wang, et al.. (2010). Analysis of specialized DNA polymerases expression in human gliomas: association with prognostic significance. Neuro-Oncology. 12(7). 679–686. 75 indexed citations
18.
Xi, Caihua, et al.. (2009). [Expression study of DNA translesion synthesis genes in human primary glioma].. PubMed. 89(19). 1309–12. 4 indexed citations
19.
Wang, Hongwei, Shuai Wang, Liqin Shen, et al.. (2009). Chk2 down-regulation by promoter hypermethylation in human bulk gliomas. Life Sciences. 86(5-6). 185–191. 25 indexed citations
20.
Zou, Huichao, Shiguang Zhao, Jianhua Zhang, et al.. (2007). Enhanced radiation-induced cytotoxic effect by 2-ME in glioma cells is mediated by induction of cell cycle arrest and DNA damage via activation of ATM pathways. Brain Research. 1185. 231–238. 19 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026