Jun Song

643 total citations
11 papers, 377 citations indexed

About

Jun Song is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Jun Song has authored 11 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Cancer Research and 1 paper in Surgery. Recurrent topics in Jun Song's work include Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (5 papers) and RNA Research and Splicing (5 papers). Jun Song is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (5 papers) and RNA Research and Splicing (5 papers). Jun Song collaborates with scholars based in China. Jun Song's co-authors include Yi Zhang, Jiaqi Wang, Yixin Xu, Song Hu, Tao Jiang, Hongyu Wang, Ruizhi Fan, Hong Gao, Hang Yin and Chong Zhang and has published in prestigious journals such as Molecular Cancer, Autophagy and Cell Death and Disease.

In The Last Decade

Jun Song

11 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Song China 7 309 241 39 35 26 11 377
Shaomu Chen China 8 293 0.9× 227 0.9× 30 0.8× 24 0.7× 26 1.0× 10 330
Shuang Chen China 11 326 1.1× 215 0.9× 49 1.3× 29 0.8× 23 0.9× 16 377
Chuannan Fan Netherlands 8 308 1.0× 267 1.1× 67 1.7× 23 0.7× 16 0.6× 12 377
Mauro Scaravilli Finland 11 370 1.2× 282 1.2× 47 1.2× 26 0.7× 59 2.3× 17 440
Carolina Votino Italy 9 289 0.9× 186 0.8× 56 1.4× 42 1.2× 26 1.0× 10 380
Yue‐Ju Li Taiwan 9 243 0.8× 174 0.7× 71 1.8× 21 0.6× 21 0.8× 11 326
Kazuto Kamikawaji Japan 6 281 0.9× 245 1.0× 41 1.1× 26 0.7× 50 1.9× 9 347
Cinzia Caggiano Italy 11 259 0.8× 154 0.6× 41 1.1× 17 0.5× 24 0.9× 17 348

Countries citing papers authored by Jun Song

Since Specialization
Citations

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

Fields of papers citing papers by Jun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Song

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

All Works

11 of 11 papers shown
1.
Liu, Bowen, Junnan Chen, Wenjing Li, et al.. (2025). PTK6 drives HNRNPH1 phase separation to activate autophagy and suppress apoptosis in colorectal cancer. Autophagy. 21(8). 1680–1699. 4 indexed citations
2.
Qi, Junwen, Tao Jiang, Bowen Liu, et al.. (2025). LINC02167 stabilizes KSR1 mRNA in an m5C-dependent manner to regulate the ERK/MAPK signaling pathway and promotes colorectal cancer metastasis. Journal of Experimental & Clinical Cancer Research. 44(1). 121–121. 4 indexed citations
3.
4.
Jiang, Tao, Junwen Qi, Zhenyu Xue, et al.. (2024). The m6A modification mediated-lncRNA POU6F2-AS1 reprograms fatty acid metabolism and facilitates the growth of colorectal cancer via upregulation of FASN. Molecular Cancer. 23(1). 55–55. 40 indexed citations
5.
Wang, Jiaqi, et al.. (2023). Presence and prospects of exosomal circRNAs in cancer (Review). International Journal of Oncology. 62(4). 5 indexed citations
6.
Liu, Bowen, Jin Wang, Yao‐Jie Pan, et al.. (2023). Long noncoding RNA LINC01594 inhibits the CELF6-mediated splicing of oncogenic CD44 variants to promote colorectal cancer metastasis. Cell Death and Disease. 14(7). 427–427. 8 indexed citations
7.
Wang, Jiaqi, et al.. (2021). Circular RNAs: new biomarkers of chemoresistance in cancer. Cancer Biology and Medicine. 18(2). 421–436. 28 indexed citations
8.
Liu, Xin, Yunze Liu, Zhao Liu, et al.. (2021). CircMYH9 drives colorectal cancer growth by regulating serine metabolism and redox homeostasis in a p53-dependent manner. Molecular Cancer. 20(1). 114–114. 85 indexed citations
9.
Wang, Jiaqi, Yi Zhang, Song Hu, et al.. (2021). The circular RNA circSPARC enhances the migration and proliferation of colorectal cancer by regulating the JAK/STAT pathway. Molecular Cancer. 20(1). 81–81. 100 indexed citations
10.
Jiang, Tao, Hongyu Wang, Song Hu, et al.. (2021). CircIL4R activates the PI3K/AKT signaling pathway via the miR-761/TRIM29/PHLPP1 axis and promotes proliferation and metastasis in colorectal cancer. Molecular Cancer. 20(1). 167–167. 93 indexed citations
11.
Shi, Linli, Qilin Fan, Bin Zhou, et al.. (2021). The composition and functional profile of the microbial communities in human gastric cancer tissues and adjacent normal tissues. Acta Biochimica et Biophysica Sinica. 54(1). 47–54. 9 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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