Hongbo Wang

3.0k total citations · 1 hit paper
99 papers, 1.8k citations indexed

About

Hongbo Wang is a scholar working on Molecular Biology, Cancer Research and Obstetrics and Gynecology. According to data from OpenAlex, Hongbo Wang has authored 99 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 27 papers in Cancer Research and 22 papers in Obstetrics and Gynecology. Recurrent topics in Hongbo Wang's work include Endometrial and Cervical Cancer Treatments (19 papers), Cancer-related molecular mechanisms research (18 papers) and Circular RNAs in diseases (12 papers). Hongbo Wang is often cited by papers focused on Endometrial and Cervical Cancer Treatments (19 papers), Cancer-related molecular mechanisms research (18 papers) and Circular RNAs in diseases (12 papers). Hongbo Wang collaborates with scholars based in China, United Kingdom and United States. Hongbo Wang's co-authors include Rui Shi, Jun Zhang, Xing Zhou, Sitian Wei, Yingchao Zhao, Hua Teng, Zhicheng Yu, Ping Yin, Min Xu and Fen Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Hongbo Wang

96 papers receiving 1.8k citations

Hit Papers

Histone lactylation promo... 2024 2026 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongbo Wang China 22 765 446 301 283 230 99 1.8k
Patricia B. Maguire Ireland 23 1.0k 1.3× 339 0.8× 310 1.0× 153 0.5× 112 0.5× 85 2.6k
Tong Yu China 26 1.3k 1.7× 934 2.1× 397 1.3× 373 1.3× 173 0.8× 123 3.3k
Jinbo Chen China 29 1.2k 1.5× 734 1.6× 602 2.0× 85 0.3× 50 0.2× 158 3.1k
Anat Aharon Israel 25 1.0k 1.3× 333 0.7× 209 0.7× 137 0.5× 444 1.9× 57 1.9k
Yoriko Yamashita Japan 27 567 0.7× 210 0.5× 545 1.8× 35 0.1× 91 0.4× 86 2.2k
Bangshun He China 23 1.0k 1.3× 683 1.5× 952 3.2× 110 0.4× 44 0.2× 92 2.6k
Jan‐Show Chu Taiwan 25 991 1.3× 369 0.8× 503 1.7× 34 0.1× 72 0.3× 74 2.0k
Zhanguo Zhang China 22 773 1.0× 455 1.0× 426 1.4× 431 1.5× 29 0.1× 76 2.0k
Nan Jia China 22 592 0.8× 224 0.5× 209 0.7× 52 0.2× 103 0.4× 78 1.5k

Countries citing papers authored by Hongbo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hongbo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongbo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hongbo Wang. A scholar is included among the top collaborators of Hongbo 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 Hongbo Wang. Hongbo 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.
Wang, Jing, et al.. (2024). The Association of PLA2G7 Gene Polymorphisms with Serum Lp-PLA2 Activity and Lipid Profile in Han Chinese Patients with Coronary Heart Disease. Pharmacogenomics and Personalized Medicine. Volume 17. 563–572. 1 indexed citations
3.
Zhou, Xing, Xiaoyan Xin, Hua Teng, et al.. (2024). RAB17 promotes endometrial cancer progression by inhibiting TFRC-dependent ferroptosis. Cell Death and Disease. 15(9). 655–655. 3 indexed citations
4.
Teng, Hua, Xiaoyan Xin, Jun Zhang, et al.. (2024). Advanced glycation end products promote the progression of endometrial cancer via activating the RAGE/CHKA/PI3K/AKT signaling pathway. Carcinogenesis. 46(1). 3 indexed citations
6.
Wang, Xiaohong, Tingting Chen, Hongbo Wang, et al.. (2024). Cholesterol neutralized vemurafenib treatment by promoting melanoma stem-like cells via its metabolite 27-hydroxycholesterol. Cellular and Molecular Life Sciences. 81(1). 226–226. 5 indexed citations
7.
Luo, Yue, Jun Zhang, Kejun Dong, et al.. (2024). Ultrasound-responsive Bi2MoO6-MXene heterojunction as ferroptosis inducers for stimulating immunogenic cell death against ovarian cancer. Journal of Nanobiotechnology. 22(1). 408–408. 10 indexed citations
8.
Zhang, Jun, et al.. (2023). UBE2C -mediated Autophagy Inhibition via Ubiquitination of SIRT1 Contributes to Endometrial Cancer Progression. Molecular Cancer Research. 21(6). 564–577. 15 indexed citations
9.
Wei, Sitian, Zhicheng Yu, Rui Shi, et al.. (2022). GPX4 suppresses ferroptosis to promote malignant progression of endometrial carcinoma via transcriptional activation by ELK1. BMC Cancer. 22(1). 881–881. 30 indexed citations
10.
Luo, Qingqing, Lin Xia, Min Wu, et al.. (2021). Breastfeeding in Mothers with COVID-19: Insights from Laboratory Tests and Follow-Up from Early Outbreak of the Pandemic in China. Journal of Women s Health. 30(11). 1546–1555. 8 indexed citations
11.
Zhang, Jun, Dilu Feng, Yingchao Zhao, et al.. (2021). KIF2C Is a Novel Prognostic Biomarker and Correlated with Immune Infiltration in Endometrial Cancer. Stem Cells International. 2021. 1–13. 27 indexed citations
13.
Zhang, Wei, Yan Liu, Xing Zhou, Rong Zhao, & Hongbo Wang. (2020). Applications of CRISPR‐Cas9 in gynecological cancer research. Clinical Genetics. 97(6). 827–834. 14 indexed citations
14.
Zhang, Jun, Ziwei Wang, Rong Zhao, et al.. (2020). An integrated autophagy-related gene signature predicts prognosis in human endometrial Cancer. BMC Cancer. 20(1). 1030–1030. 21 indexed citations
15.
Wang, Ziwei, Jun Zhang, Yan Liu, et al.. (2020). An Integrated Autophagy‐Related Long Noncoding RNA Signature as a Prognostic Biomarker for Human Endometrial Cancer: A Bioinformatics‐Based Approach. BioMed Research International. 2020(1). 5717498–5717498. 19 indexed citations
16.
Liu, Yan, Rong Zhao, Shuqi Chi, et al.. (2019). UBE2C Is Upregulated by Estrogen and Promotes Epithelial–Mesenchymal Transition via p53 in Endometrial Cancer. Molecular Cancer Research. 18(2). 204–215. 94 indexed citations
17.
Wang, Hongbo, et al.. (2018). An efficient process for co-production of γ-aminobutyric acid and probiotic Bacillus subtilis cells. Food Science and Biotechnology. 28(1). 155–163. 22 indexed citations
18.
Yang, Ping, Donglin Li, Jing Cai, et al.. (2015). [Comparison of safety and efficacy of laparoscopic versus abdominal radical hysterectomy in the treatment of patients with stage I a2-II b cervical cancer].. PubMed. 50(12). 915–22. 2 indexed citations
19.
Cai, Jing, Yijun Shen, Hongbo Wang, et al.. (2014). Laparoscopic Radical Hysterectomy and Pelvic Lymphadenectomy Can Be Routinely Used for Treatment of Early-stage Cervical Cancer: A Single-institute Experience With 404 Patients. Journal of Minimally Invasive Gynecology. 22(2). 199–204. 15 indexed citations
20.
Li, Min, Yuanyue Li, Xiaoyan Xin, et al.. (2013). Quantitative assessment of the association between CYP1A1 A4889G polymorphism and endometrial cancer risk. Tumor Biology. 34(6). 3675–3680. 3 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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