Yanjun Guo

1.6k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Yanjun Guo is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yanjun Guo has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Oncology. Recurrent topics in Yanjun Guo's work include Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (2 papers) and Adenosine and Purinergic Signaling (1 paper). Yanjun Guo is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (2 papers) and Adenosine and Purinergic Signaling (1 paper). Yanjun Guo collaborates with scholars based in China, Netherlands and New Zealand. Yanjun Guo's co-authors include Ying Xu, Zhong‐Fei Shen, Shengbing Liu, Weiwei Pan, Lingling Hu, Wei Yan, Yong Chen, Yuping Wang, Qiang Li and Yong Chen and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Cellular and Molecular Life Sciences.

In The Last Decade

Yanjun Guo

8 papers receiving 1.2k citations

Hit Papers

align trajectories

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.

ERK/MAPK signalling pathway and tumorigenesis (Review)

2020 1.1k citations Yanjun Guo, Weiwei Pan et al. Experimental and Therapeutic Medicine profile →

Peers

Yanjun Guo

MB

CR

ONCOL

PRM

IMMUN

Zhong‐Fei Shen China

Shengbing Liu China

Wei Ma China

Wei‐En Yang Taiwan

Jing Lv China

Chun‐Wen Cheng Taiwan

Jing Ni China

Wenting Yang China

Yinxue Yang China

Yuanyuan Weng China

Zhong‐Fei Shen China

Yanjun Guo

733 ×1.0

MB

237 ×0.8

CR

241 ×1.0

ONCOL

116 ×0.9

PRM

123 ×1.0

IMMUN

Citations per year, relative to Yanjun Guo Yanjun Guo (= 1×) peers Zhong‐Fei Shen

Countries citing papers authored by Yanjun Guo

Since Specialization

Citations

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

Fields of papers citing papers by Yanjun Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanjun Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Yanjun Guo. A scholar is included among the top collaborators of Yanjun 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 Yanjun Guo. Yanjun Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Guo, Yanjun, et al.. (2025). MAPK/ERK Signaling in Tumorigenesis: mechanisms of growth, invasion, and angiogenesis. PubMed. 24. 854–879.

2.

Xu, C., Qiyin Zhou, Shengbing Liu, et al.. (2024). DCAF13 promotes ovarian cancer progression by activating FRAS1-mediated FAK signaling pathway. Cellular and Molecular Life Sciences. 81(1). 421–421. 1 indexed citations

3.

Yan, Wei, et al.. (2021). Exosomal miR-130b-3p Promotes Progression and Tubular Formation Through Targeting PTEN in Oral Squamous Cell Carcinoma. Frontiers in Cell and Developmental Biology. 9. 616306–616306. 41 indexed citations

4.

Guo, Yanjun, Weiwei Pan, Shengbing Liu, et al.. (2020). ERK/MAPK signalling pathway and tumorigenesis (Review). Experimental and Therapeutic Medicine. 19(3). 1997–2007. 1100 indexed citations breakdown →

5.

Chen, Yong, Yanjun Guo, & Wei Yan. (2019). lncRNA RP5-916L7.2 correlates with advanced tumor stage, and promotes cells proliferation while inhibits cells apoptosis through targeting miR-328 and miR-939 in tongue squamous cell carcinoma. Clinical Biochemistry. 67. 24–32. 15 indexed citations

6.

Shi, Qi, Kang Xiao, Liping Gao, et al.. (2019). Significant enhanced expressions of aquaporin-1, -4 and -9 in the brains of various prion diseases. Prion. 13(1). 173–184. 7 indexed citations

7.

Wan, Hanxing, Rui Xie, Jialin He, et al.. (2017). Anti-proliferative Effects of Nucleotides on Gastric Cancer via a Novel P2Y6/SOCE/Ca2+/β-catenin Pathway. Scientific Reports. 7(1). 2459–2459. 33 indexed citations

8.

Wang, Jianqi, et al.. (2017). Inhibition of CD147 expression promotes chemosensitivity in HNSCC cells by deactivating MAPK/ERK signaling pathway. Experimental and Molecular Pathology. 102(1). 59–64. 14 indexed citations

9.

Ma, Jixuan, Xiuqing Cui, Yi Rong, et al.. (2016). Plasma LncRNA-ATB, a Potential Biomarker for Diagnosis of Patients with Coal Workers’ Pneumoconiosis: A Case-Control Study. International Journal of Molecular Sciences. 17(8). 1367–1367. 16 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