Hongyu Guan

2.1k total citations
60 papers, 1.6k citations indexed

About

Hongyu Guan is a scholar working on Molecular Biology, Cancer Research and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Hongyu Guan has authored 60 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 20 papers in Cancer Research and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Hongyu Guan's work include Cancer-related molecular mechanisms research (14 papers), RNA modifications and cancer (12 papers) and Cancer-related gene regulation (8 papers). Hongyu Guan is often cited by papers focused on Cancer-related molecular mechanisms research (14 papers), RNA modifications and cancer (12 papers) and Cancer-related gene regulation (8 papers). Hongyu Guan collaborates with scholars based in China, United States and Czechia. Hongyu Guan's co-authors include Mengfeng Li, Junchao Cai, Jueheng Wu, Yanbing Li, Jie Yuan, Haipeng Xiao, Lishan Fang, Xun Zhu, Yi Yang and Xun Zhu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Hongyu Guan

52 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongyu Guan China 22 1.2k 630 245 175 116 60 1.6k
Lili Liu China 22 1.1k 0.9× 885 1.4× 347 1.4× 192 1.1× 87 0.8× 58 1.7k
Cheng‐Chi Chang Taiwan 21 1.3k 1.1× 478 0.8× 502 2.0× 110 0.6× 160 1.4× 26 1.8k
Koji Ueno Japan 25 1.7k 1.4× 1.0k 1.6× 227 0.9× 197 1.1× 110 0.9× 45 2.1k
Zongfu Pan China 19 596 0.5× 310 0.5× 182 0.7× 140 0.8× 101 0.9× 67 989
Michele Biscuola Spain 16 441 0.4× 361 0.6× 188 0.8× 176 1.0× 109 0.9× 23 1.1k
Danilo Swann Matassa Italy 24 1.1k 0.9× 367 0.6× 231 0.9× 83 0.5× 100 0.9× 41 1.4k
Sandra Guaita‐Esteruelas Spain 16 775 0.6× 345 0.5× 388 1.6× 96 0.5× 88 0.8× 25 1.2k
Praveen Kumar Korla Taiwan 7 1.0k 0.9× 477 0.8× 308 1.3× 501 2.9× 151 1.3× 15 1.4k
Qiang Zou China 21 763 0.6× 365 0.6× 221 0.9× 122 0.7× 228 2.0× 56 1.2k
Karine Belguise France 19 806 0.7× 372 0.6× 417 1.7× 90 0.5× 161 1.4× 33 1.4k

Countries citing papers authored by Hongyu Guan

Since Specialization
Citations

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

Fields of papers citing papers by Hongyu Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongyu Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Hongyu Guan. A scholar is included among the top collaborators of Hongyu Guan 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 Hongyu Guan. Hongyu Guan 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.
Sun, Wenqiang, et al.. (2025). Neochlorogenic acid inhibits gastric cancer cell growth through apoptosis and cell cycle arrest. Translational Cancer Research. 14(9). 5297–5310.
2.
Chen, Yue, Yanrui Huang, Weijian Ke, et al.. (2025). Smoking is associated with adverse clinical outcomes after thyroidectomy: a 5-year retrospective analysis. BMC Endocrine Disorders. 25(1). 70–70. 1 indexed citations
3.
Li, Yongchao, et al.. (2025). CALD1 inhibits invasion of human ovarian cancer cells by affecting cytoskeletal structure and the number of focal adhesion. Translational Cancer Research. 14(2). 1323–1335.
4.
Liang, Weiwei, Yilin Zhang, Yan Guo, et al.. (2024). FLNA overexpression promotes papillary thyroid cancer aggression via the FAK/AKT signaling pathway. Endocrine Connections. 13(6). 1 indexed citations
5.
Zeng, Chao, Yixuan Zhang, Chao Lin, et al.. (2024). TFCP2L1, a potential differentiation regulator, predicts favorable prognosis and dampens thyroid cancer progression. Journal of Endocrinological Investigation. 47(12). 2953–2968.
6.
7.
Huang, Yuxin, Weiwei Zhou, Huiquan Wu, et al.. (2024). Exosomal PSM-E inhibits macrophage M2 polarization to suppress prostate cancer metastasis through the RACK1 signaling axis. Biomarker Research. 12(1). 138–138. 3 indexed citations
8.
Li, Hai, Xiaoying He, Shuang Yu, et al.. (2024). PFKFB3 facilitates cell proliferation and migration in anaplastic thyroid carcinoma via the WNT/β‐catenin signaling pathway. Endocrine. 85(2). 737–750. 4 indexed citations
9.
Wang, Dong & Hongyu Guan. (2024). Cuproptosis: A new mechanism for anti-tumour therapy. Pathology - Research and Practice. 266. 155790–155790.
10.
Wu, Shanshan, Bangdong Liu, Youhong Zhang, et al.. (2021). Long non-coding RNA LEISA promotes progression of lung adenocarcinoma via enhancing interaction between STAT3 and IL-6 promoter. Oncogene. 40(19). 3449–3459. 10 indexed citations
11.
Chen, Yuxin, Hai Li, Weiwei Liang, et al.. (2021). SLC6A15 acts as a tumor suppressor to inhibit migration and invasion in human papillary thyroid cancer. Journal of Cellular Biochemistry. 122(8). 814–826. 5 indexed citations
12.
Yu, Shuang, Shubin Hong, Yanrui Huang, et al.. (2020). TET1 is a Tumor Suppressor That Inhibits Papillary Thyroid Carcinoma Cell Migration and Invasion. International Journal of Endocrinology. 2020. 1–9. 17 indexed citations
13.
Guo, Yan, Hai Li, Guohong Wei, et al.. (2019). Long Noncoding RNA LOC100129940-N Is Upregulated in Papillary Thyroid Cancer and Promotes the Invasion and Progression. International Journal of Endocrinology. 2019. 1–12. 11 indexed citations
14.
Tong, Yuru, Ping Su, Hongyu Guan, et al.. (2018). Eudesmane-type sesquiterpene diols directly synthesized by a sesquiterpene cyclase in Tripterygium wilfordii. Biochemical Journal. 475(17). 2713–2725. 14 indexed citations
15.
Fang, Lishan, Shanshan Wu, Xun Zhu, et al.. (2018). MYEOV functions as an amplified competing endogenous RNA in promoting metastasis by activating TGF-β pathway in NSCLC. Oncogene. 38(6). 896–912. 44 indexed citations
16.
Tan, Zhanyao, Kun Chen, Yanqing Zhou, et al.. (2018). Overexpression of HOXC10 promotes angiogenesis in human glioma via interaction with PRMT5 and upregulation of VEGFA expression. Theranostics. 8(18). 5143–5158. 66 indexed citations
17.
Tu, Lichan, Yifeng Zhang, Ping Su, et al.. (2017). [Cloning and protein expression analysis of geranyl diphosphate synthase genes in Tripterygium wilfordii].. PubMed. 42(2). 220–225. 1 indexed citations
18.
Ying, Zhe, Han Tian, Yun Li, et al.. (2017). CCT6A suppresses SMAD2 and promotes prometastatic TGF-β signaling. Journal of Clinical Investigation. 127(5). 1725–1740. 85 indexed citations
19.
Guan, Hongyu, Ping Su, Yujun Zhao, et al.. (2017). Cloning and functional analysis of two sterol-C24-methyltransferase 1 (SMT1) genes from Paris polyphylla. Journal of Asian Natural Products Research. 20(7). 595–604. 11 indexed citations
20.
Cai, Junchao, Hongyu Guan, Lishan Fang, et al.. (2013). MicroRNA-374a activates Wnt/β-catenin signaling to promote breast cancer metastasis. Journal of Clinical Investigation. 123(2). 566–79. 305 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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