Dongni Shi

687 total citations
23 papers, 472 citations indexed

About

Dongni Shi is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Dongni Shi has authored 23 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Dongni Shi's work include RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Dongni Shi is often cited by papers focused on RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Dongni Shi collaborates with scholars based in China, United States and United Kingdom. Dongni Shi's co-authors include Libing Song, Chuyong Lin, Yunting Jian, Xiangfu Chen, Yue Li, Ying Ouyang, Jun Li, Xianqiu Wu, Shuang Mo and Xinjian Huang and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Dongni Shi

22 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongni Shi China 13 325 126 114 61 57 23 472
Wenhui Ma China 13 270 0.8× 125 1.0× 110 1.0× 47 0.8× 63 1.1× 25 415
Chengsen Chai China 9 385 1.2× 138 1.1× 160 1.4× 68 1.1× 110 1.9× 10 561
Gaoyang Zhu China 9 323 1.0× 95 0.8× 115 1.0× 46 0.8× 30 0.5× 14 486
Luke Gubbins Ireland 5 377 1.2× 239 1.9× 166 1.5× 46 0.8× 77 1.4× 6 543
Yongsheng Li China 8 238 0.7× 151 1.2× 84 0.7× 56 0.9× 85 1.5× 14 385
Miao He China 13 237 0.7× 96 0.8× 57 0.5× 51 0.8× 50 0.9× 24 368
Qin Zhao China 11 295 0.9× 104 0.8× 74 0.6× 54 0.9× 48 0.8× 27 487
Karolina Weiner‐Gorzel Ireland 5 416 1.3× 250 2.0× 180 1.6× 50 0.8× 77 1.4× 7 587
Lucy Wanjiku Macharia Brazil 7 248 0.8× 145 1.2× 140 1.2× 45 0.7× 94 1.6× 12 506
Wenhui Zhao China 13 262 0.8× 137 1.1× 60 0.5× 42 0.7× 52 0.9× 46 401

Countries citing papers authored by Dongni Shi

Since Specialization
Citations

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

Fields of papers citing papers by Dongni Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongni Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Dongni Shi. A scholar is included among the top collaborators of Dongni Shi 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 Dongni Shi. Dongni Shi 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.
Tian, Yu, et al.. (2025). T7-assisted special rolling circular amplification platform for point-of-care cervical cancer screening. Biosensors and Bioelectronics. 288. 117831–117831. 1 indexed citations
2.
Huang, Shu‐Mei, Dongni Shi, Shuqin Dai, et al.. (2025). RNF31 induces paclitaxel resistance by sustaining ALYREF cytoplasmic–nuclear shuttling in human triple‐negative breast cancer. Clinical and Translational Medicine. 15(2). e70203–e70203. 4 indexed citations
3.
Miao, Jingjing, Boyu Chen, Lu Zhang, et al.. (2025). Metabolic expression profiling analysis reveals pyruvate-mediated EPHB2 upregulation promotes lymphatic metastasis in head and neck squamous cell carcinomas. Journal of Translational Medicine. 23(1). 316–316. 1 indexed citations
4.
Wang, Rui, Meng Wang, Yunyun Xiao, et al.. (2025). POLRMT enhances lenvatinib resistance in hepatocellular carcinoma cells by maintaining mitochondrial ATP production. Life Sciences. 379. 123876–123876.
5.
Yang, Muwen, Dongni Shi, Xiangfu Chen, et al.. (2025). Supplementing sialic acid analogs overcomes radiotherapy resistance in triple-negative breast cancer by exacerbating ER stress. Redox Biology. 85. 103712–103712. 1 indexed citations
6.
Zhang, Xiaofei, Qingyuan Li, Xingyu Jiang, et al.. (2024). PTPN20 promotes metastasis through activating NF-κB signaling in triple-negative breast cancer. Breast Cancer Research. 26(1). 155–155. 2 indexed citations
7.
Yang, Muwen, Weijing Zhang, Dongni Shi, et al.. (2024). Targeting the SPC25/RIOK1/MYH9 Axis to Overcome Tumor Stemness and Platinum Resistance in Epithelial Ovarian Cancer. Advanced Science. 11(47). e2406688–e2406688. 3 indexed citations
8.
9.
Yang, Muwen, Lingzhi Kong, Shu‐Mei Huang, et al.. (2023). Inhibition of DPAGT1 suppresses HER2 shedding and trastuzumab resistance in human breast cancer. Journal of Clinical Investigation. 133(14). 14 indexed citations
10.
Li, Yue, Boyu Chen, Xingyu Jiang, et al.. (2023). A Wnt-induced lncRNA-DGCR5 splicing switch drives tumor-promoting inflammation in esophageal squamous cell carcinoma. Cell Reports. 42(6). 112542–112542. 12 indexed citations
11.
He, Lixin, Shu‐Mei Huang, Pian Liu, et al.. (2023). Lysosomal cyst(e)ine storage potentiates tolerance to oxidative stress in cancer cells. Molecular Cell. 83(19). 3502–3519.e11. 29 indexed citations
12.
Wang, Xiaoqing, Yunyun Xiao, Xinjian Huang, et al.. (2023). The phospholipid flippase ATP9A enhances macropinocytosis to promote nutrient starvation tolerance in hepatocellular carcinoma. The Journal of Pathology. 260(1). 17–31. 6 indexed citations
13.
Shi, Dongni, Xianqiu Wu, Yunting Jian, et al.. (2022). USP14 promotes tryptophan metabolism and immune suppression by stabilizing IDO1 in colorectal cancer. Nature Communications. 13(1). 5644–5644. 120 indexed citations
14.
Xiao, Yunyun, Dongni Shi, Xiaoqing Wang, et al.. (2022). MEX3C-Mediated Decay of SOCS3 mRNA Promotes JAK2/STAT3 Signaling to Facilitate Metastasis in Hepatocellular Carcinoma. Cancer Research. 82(22). 4191–4205. 21 indexed citations
15.
Huang, Xinjian, Dongni Shi, Xuxia Wu, et al.. (2022). BAG2 drives chemoresistance of breast cancer by exacerbating mutant p53 aggregate. Theranostics. 13(1). 339–354. 18 indexed citations
16.
Li, Yue, Boyu Chen, Xingyu Jiang, et al.. (2022). A Wnt-Induced lncRNA-DGCR5 Splicing Switch Drives Tumor-Promoting Inflammation in Esophageal Squamous Cell Carcinoma. SSRN Electronic Journal. 2 indexed citations
17.
Li, Yue, Meng Wang, Muwen Yang, et al.. (2021). Nicotine-Induced ILF2 Facilitates Nuclear mRNA Export of Pluripotency Factors to Promote Stemness and Chemoresistance in Human Esophageal Cancer. Cancer Research. 81(13). 3525–3538. 23 indexed citations
18.
Wang, Meng, Yue Li, Yunyun Xiao, et al.. (2021). Nicotine-mediated OTUD3 downregulation inhibits VEGF-C mRNA decay to promote lymphatic metastasis of human esophageal cancer. Nature Communications. 12(1). 7006–7006. 34 indexed citations
19.
Ye, Liping, Chuyong Lin, Xi Wang, et al.. (2019). Epigenetic silencing of SALL 2 confers tamoxifen resistance in breast cancer. EMBO Molecular Medicine. 11(12). e10638–e10638. 62 indexed citations
20.
Zhu, Jinrong, Geyan Wu, Libing Song, et al.. (2019). NKX2-8 deletion-induced reprogramming of fatty acid metabolism confers chemoresistance in epithelial ovarian cancer. EBioMedicine. 43. 238–252. 47 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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