Senlin Zhao

3.4k total citations · 3 hit papers
47 papers, 2.4k citations indexed

About

Senlin Zhao is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Senlin Zhao has authored 47 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 22 papers in Cancer Research and 13 papers in Oncology. Recurrent topics in Senlin Zhao's work include MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (11 papers) and RNA modifications and cancer (9 papers). Senlin Zhao is often cited by papers focused on MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (11 papers) and RNA modifications and cancer (9 papers). Senlin Zhao collaborates with scholars based in China, Sweden and United States. Senlin Zhao's co-authors include Ping Wei, Xuefeng He, Yushuai Mi, Xinyang Zhong, Dawei Li, Dongwang Yan, Yanzi Gu, Xinxiang Li, Sanjun Cai and Zhengxiang Zhang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Oncogene.

In The Last Decade

Senlin Zhao

46 papers receiving 2.4k citations

Hit Papers

Tumor-derived exosomal miR-934 induces macrophage M2 pola... 2020 2026 2022 2024 2020 2022 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Senlin Zhao China 23 1.6k 1.2k 477 369 224 47 2.4k
Chao Yu China 29 1.3k 0.8× 992 0.8× 408 0.9× 227 0.6× 188 0.8× 72 2.0k
Gianluca Bossi Italy 30 1.4k 0.8× 547 0.5× 988 2.1× 254 0.7× 192 0.9× 53 2.2k
Longfei Huo United States 21 1.6k 1.0× 691 0.6× 678 1.4× 356 1.0× 229 1.0× 36 2.3k
Houjie Liang China 29 1.2k 0.7× 881 0.7× 711 1.5× 340 0.9× 183 0.8× 73 2.4k
Junxia Zhang China 33 3.0k 1.9× 2.5k 2.1× 326 0.7× 253 0.7× 177 0.8× 118 3.8k
Vilma Maldonado Mexico 24 1.2k 0.7× 725 0.6× 497 1.0× 193 0.5× 213 1.0× 88 1.9k
Soyoung Lee Germany 17 2.0k 1.3× 436 0.4× 887 1.9× 578 1.6× 165 0.7× 33 3.2k
Ken‐ichi Kozaki Japan 27 2.1k 1.3× 1.3k 1.1× 772 1.6× 141 0.4× 183 0.8× 38 2.9k
Kiran Kumar Velpula United States 27 1.1k 0.7× 660 0.6× 431 0.9× 327 0.9× 172 0.8× 62 2.0k
Jong Kuk Park South Korea 25 1.2k 0.7× 365 0.3× 552 1.2× 135 0.4× 150 0.7× 53 1.8k

Countries citing papers authored by Senlin Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Senlin Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Senlin Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Senlin Zhao. A scholar is included among the top collaborators of Senlin Zhao 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 Senlin Zhao. Senlin Zhao 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, Jiayu, Yuxue Li, Xuefeng He, et al.. (2025). Huaier overcomes tumor-induced immunosuppression in colorectal cancer by activating MHC I and CD8+ T cells. Phytomedicine. 147. 157157–157157.
2.
Jiang, Weiliang, Bingjie Guan, Hongcheng Sun, et al.. (2025). WNT11 Promotes immune evasion and resistance to Anti-PD-1 therapy in liver metastasis. Nature Communications. 16(1). 1429–1429. 8 indexed citations
5.
Guan, Bingjie, Bowen Xie, Senlin Zhao, et al.. (2024). Mitochondrial genome transfer drives metabolic reprogramming in adjacent colonic epithelial cells promoting TGFβ1-mediated tumor progression. Nature Communications. 15(1). 3653–3653. 23 indexed citations
6.
Zhong, Xinyang, Yaxian Wang, Xuefeng He, et al.. (2024). HIF1A-AS2 promotes the metabolic reprogramming and progression of colorectal cancer via miR-141-3p/FOXC1 axis. Cell Death and Disease. 15(9). 645–645. 8 indexed citations
7.
Yu, Shaojun, Weixing Dai, Senlin Zhao, et al.. (2023). Function and mechanism of MCM8 in the development and progression of colorectal cancer. Journal of Translational Medicine. 21(1). 623–623. 6 indexed citations
8.
He, Xuefeng, Xinyang Zhong, Zijuan Hu, et al.. (2023). AF9 sustains glycolysis in colorectal cancer via H3K9ac‐mediated PCK2 and FBP1 transcription. Clinical and Translational Medicine. 13(8). e1352–e1352. 13 indexed citations
9.
Zhao, Senlin, Bingjie Guan, Yushuai Mi, et al.. (2021). LncRNA MIR17HG promotes colorectal cancer liver metastasis by mediating a glycolysis-associated positive feedback circuit. Oncogene. 40(28). 4709–4724. 70 indexed citations
10.
Wen, Yugang, Senlin Zhao, Gunnar Adell, et al.. (2020). Predictive Role of Biopsy Based Biomarkers for Radiotherapy Treatment in Rectal Cancer. Journal of Personalized Medicine. 10(4). 168–168. 5 indexed citations
11.
Zhao, Senlin, Yushuai Mi, Bingjie Guan, et al.. (2020). Tumor-derived exosomal miR-934 induces macrophage M2 polarization to promote liver metastasis of colorectal cancer. Journal of Hematology & Oncology. 13(1). 156–156. 563 indexed citations breakdown →
12.
Ou, Baochi, Senlin Zhao, Xueni Liu, et al.. (2019). USP11 promotes growth and metastasis of colorectal cancer via PPP1CA-mediated activation of ERK/MAPK signaling pathway. EBioMedicine. 48. 236–247. 98 indexed citations
13.
Weng, Junyong, Jingbo Xiao, Yushuai Mi, et al.. (2018). PCDHGA9 acts as a tumor suppressor to induce tumor cell apoptosis and autophagy and inhibit the EMT process in human gastric cancer. Cell Death and Disease. 9(2). 27–27. 41 indexed citations
14.
Jiang, Weiliang, Senlin Zhao, Jia Shen, et al.. (2018). The MiR-135b–BMAL1–YY1 loop disturbs pancreatic clockwork to promote tumourigenesis and chemoresistance. Cell Death and Disease. 9(2). 149–149. 52 indexed citations
15.
Zhuang, Meng, Senlin Zhao, Zheng Jiang, et al.. (2018). MALAt1 Sponges miR-106b-5p to Promote the Invasion and Metastasis of Colorectal Cancer via SLAIN2 Enhanced Microtubules Mobility. SSRN Electronic Journal. 2 indexed citations
16.
Zhao, Senlin, Hongcheng Sun, Weiliang Jiang, et al.. (2017). miR-4775 promotes colorectal cancer invasion and metastasis via the Smad7/TGFβ-mediated epithelial to mesenchymal transition. Molecular Cancer. 16(1). 12–12. 66 indexed citations
17.
Wang, Xiao, Jian Chen, Jingtao Wang, et al.. (2016). Metalloproteases meprin-ɑ (MEP1A) is a prognostic biomarker and promotes proliferation and invasion of colorectal cancer. BMC Cancer. 16(1). 383–383. 11 indexed citations
18.
Jiang, Weiliang, Senlin Zhao, Xiaohua Jiang, et al.. (2015). The circadian clock gene Bmal1 acts as a potential anti-oncogene in pancreatic cancer by activating the p53 tumor suppressor pathway. Cancer Letters. 371(2). 314–325. 135 indexed citations
19.
Zhang, Meng, Feifei Cui, Su Lu, et al.. (2015). Developmental pluripotency-associated 4: a novel predictor for prognosis and a potential therapeutic target for colon cancer. Journal of Experimental & Clinical Cancer Research. 34(1). 60–60. 12 indexed citations
20.
Liu, Chenchen, Ben Yue, Chenwei Yuan, et al.. (2015). Elevated expression of Thoc1 is associated with aggressive phenotype and poor prognosis in colorectal cancer. Biochemical and Biophysical Research Communications. 468(1-2). 53–58. 13 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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