Can Guo

13.0k total citations · 11 hit papers
89 papers, 8.5k citations indexed

About

Can Guo is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Can Guo has authored 89 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 51 papers in Cancer Research and 26 papers in Oncology. Recurrent topics in Can Guo's work include Cancer-related molecular mechanisms research (36 papers), RNA modifications and cancer (28 papers) and Circular RNAs in diseases (13 papers). Can Guo is often cited by papers focused on Cancer-related molecular mechanisms research (36 papers), RNA modifications and cancer (28 papers) and Circular RNAs in diseases (13 papers). Can Guo collaborates with scholars based in China, United States and Saudi Arabia. Can Guo's co-authors include Guiyuan Li, Zhaoyang Zeng, Wei Xiong, Yong Li, Bo Xiang, Xiaoling Li, Fang Xiong, Xiayu Li, Zhaojian Gong and Ming Zhou and has published in prestigious journals such as PLoS ONE, Cancer Research and Oncogene.

In The Last Decade

Can Guo

86 papers receiving 8.3k citations

Hit Papers

Role of the tumor microenvironment in PD-L1/PD-1-mediated... 2017 2026 2020 2023 2019 2017 2019 2020 2020 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Can Guo China 43 4.7k 3.5k 2.5k 2.0k 806 89 8.5k
Bo Xiang China 51 6.0k 1.3× 4.2k 1.2× 2.5k 1.0× 1.8k 0.9× 993 1.2× 166 9.9k
Herui Yao China 46 5.9k 1.3× 4.7k 1.4× 3.8k 1.5× 1.9k 1.0× 1.2k 1.5× 175 10.0k
Qianjin Liao China 56 7.0k 1.5× 5.2k 1.5× 2.1k 0.9× 1.5k 0.8× 924 1.1× 175 10.4k
Cristina Ivan United States 49 5.7k 1.2× 4.3k 1.2× 1.8k 0.7× 1.2k 0.6× 880 1.1× 148 8.5k
Hao Zhang China 48 4.8k 1.0× 2.6k 0.7× 3.0k 1.2× 3.1k 1.5× 1.8k 2.3× 445 11.5k
Fangfang Zhou China 53 6.2k 1.3× 1.8k 0.5× 1.5k 0.6× 1.7k 0.8× 889 1.1× 221 10.1k
Wei Wang China 50 5.0k 1.1× 2.2k 0.6× 2.7k 1.1× 2.2k 1.1× 638 0.8× 403 10.5k
Dan Li China 45 5.6k 1.2× 3.6k 1.0× 1.5k 0.6× 723 0.4× 837 1.0× 390 8.7k
Hiroaki Kajiyama Japan 50 3.2k 0.7× 1.4k 0.4× 2.4k 1.0× 1.3k 0.6× 960 1.2× 423 10.3k
Xiaohong Wang China 50 5.2k 1.1× 2.9k 0.8× 1.4k 0.5× 1.3k 0.6× 1.0k 1.3× 273 9.1k

Countries citing papers authored by Can Guo

Since Specialization
Citations

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

Fields of papers citing papers by Can Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Can Guo. A scholar is included among the top collaborators of Can Guo 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 Can Guo. Can Guo 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.
Chen, Wei, et al.. (2025). Metal-organic framework-based aptamer sensors for early diagnosis of breast cancer. Sensing and Bio-Sensing Research. 49. 100855–100855. 1 indexed citations
2.
Wang, Dan, Yi Zhang, Le Tang, et al.. (2025). circADARB1 enhances ZEB1 expression in an m6A-dependent manner to promote the invasion and migration of nasopharyngeal carcinoma. International Journal of Biological Macromolecules. 318(Pt 4). 145187–145187.
3.
Li, Faji, Can Guo, Weie Wen, et al.. (2024). Genome-wide linkage mapping of Fusarium crown rot in common wheat (Triticum aestivum L.). Frontiers in Plant Science. 15. 1457437–1457437. 1 indexed citations
4.
Wang, Yian, Qijia Yan, Chunmei Fan, et al.. (2023). Overview and countermeasures of cancer burden in China. Science China Life Sciences. 66(11). 2515–2526. 86 indexed citations breakdown →
5.
Ge, Junshang, Jie Wang, Fang Xiong, et al.. (2021). Epstein–Barr Virus–Encoded Circular RNA CircBART2.2 Promotes Immune Escape of Nasopharyngeal Carcinoma by Regulating PD-L1. Cancer Research. 81(19). 5074–5088. 113 indexed citations
6.
Wang, Maonan, Dan Wang, Ting Tang, et al.. (2021). The long noncoding RNA AATBC promotes breast cancer migration and invasion by interacting with YBX1 and activating the YAP1/Hippo signaling pathway. Cancer Letters. 512. 60–72. 27 indexed citations
7.
Zhong, Yu, Liting Yang, Fang Xiong, et al.. (2021). Long non-coding RNA AFAP1-AS1 accelerates lung cancer cells migration and invasion by interacting with SNIP1 to upregulate c-Myc. Signal Transduction and Targeted Therapy. 6(1). 240–240. 60 indexed citations
8.
Jiang, Xianjie, Xiangying Deng, Jie Wang, et al.. (2021). BPIFB1 inhibits vasculogenic mimicry via downregulation of GLUT1-mediated H3K27 acetylation in nasopharyngeal carcinoma. Oncogene. 41(2). 233–245. 20 indexed citations
9.
Xiong, Fang, Kunjie Zhu, Su Deng, et al.. (2021). AFAP1-AS1: a rising star among oncogenic long non-coding RNAs. Science China Life Sciences. 64(10). 1602–1611. 14 indexed citations
10.
Hu, Rui, Nan Huang, Wen Chen, et al.. (2020). Comparison of chest CT images between confirmed and suspected cases of COVID-19. Zhonghua fangshexian yixue zazhi. 54(5). 3 indexed citations
11.
Wang, Dan, Le Tang, Yingfen Wu, et al.. (2020). Abnormal X chromosome inactivation and tumor development. Cellular and Molecular Life Sciences. 77(15). 2949–2958. 31 indexed citations
12.
Jiang, Xianjie, Jie Wang, Xiangying Deng, et al.. (2020). The role of microenvironment in tumor angiogenesis. Journal of Experimental & Clinical Cancer Research. 39(1). 204–204. 514 indexed citations breakdown →
13.
Fan, Chunmei, Jinpeng Wang, Yanyan Tang, et al.. (2020). Upregulation of long non-coding RNA LOC284454 may serve as a new serum diagnostic biomarker for head and neck cancers. BMC Cancer. 20(1). 917–917. 30 indexed citations
14.
Yan, Su, Kang Zhao, Xiaoqian Chen, et al.. (2019). Analysis of technical difficulties of single-port and reduced-port laparoscopic radical gastrectomy for gastric cancer. Zhōnghuá xiāohuà wàikē zázhì/Zhonghua xiaohua waike zazhi. 18(3). 222–228. 2 indexed citations
15.
Wang, Yian, Xiaoling Li, Yongzhen Mo, et al.. (2018). Effects of tumor metabolic microenvironment on regulatory T cells. Molecular Cancer. 17(1). 143 indexed citations
16.
Fang, Wei, Le Tang, Yi He, et al.. (2018). BPIFB1 (LPLUNC1) inhibits radioresistance in nasopharyngeal carcinoma by inhibiting VTN expression. Cell Death and Disease. 9(4). 432–432. 71 indexed citations
17.
He, Yi, Fang Wei, Yanyan Tang, et al.. (2018). Long non-coding RNA PVT1 predicts poor prognosis and induces radioresistance by regulating DNA repair and cell apoptosis in nasopharyngeal carcinoma. Cell Death and Disease. 9(2). 235–235. 137 indexed citations
18.
Wang, Maonan, Lishen Zhang, Wei Fang, et al.. (2017). Role of tumor microenvironment in tumorigenesis. Journal of Cancer. 8(5). 761–773. 1023 indexed citations breakdown →
19.
He, Baoyu, Wei‐Ming Li, Yingfen Wu, et al.. (2016). Epstein-Barr virus-encoded miR-BART6-3p inhibits cancer cell metastasis and invasion by targeting long non-coding RNA LOC553103. Cell Death and Disease. 7(9). e2353–e2353. 123 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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