Ke Jiang

3.3k total citations
81 papers, 2.6k citations indexed

About

Ke Jiang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ke Jiang has authored 81 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 19 papers in Oncology and 17 papers in Cancer Research. Recurrent topics in Ke Jiang's work include Autophagy in Disease and Therapy (14 papers), Virus-based gene therapy research (10 papers) and RNA Interference and Gene Delivery (7 papers). Ke Jiang is often cited by papers focused on Autophagy in Disease and Therapy (14 papers), Virus-based gene therapy research (10 papers) and RNA Interference and Gene Delivery (7 papers). Ke Jiang collaborates with scholars based in China, United States and Ireland. Ke Jiang's co-authors include Songshu Meng, Jianjun Wang, Guanghai Yang, Jiguang Zhang, Quan Liu, Feng Zhao, Chan Ding, Guirong Zhang, Peng Gong and Martin P. Barr and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and PLoS ONE.

In The Last Decade

Ke Jiang

75 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ke Jiang China 30 1.5k 787 527 406 354 81 2.6k
Shirong Zhang China 28 1.4k 0.9× 684 0.9× 651 1.2× 287 0.7× 222 0.6× 126 2.7k
Meng Xu China 33 2.1k 1.4× 1.2k 1.5× 408 0.8× 316 0.8× 329 0.9× 104 3.2k
Ting Gui China 26 1.4k 0.9× 438 0.6× 333 0.6× 284 0.7× 243 0.7× 61 2.5k
Shanchun Guo United States 24 1.4k 0.9× 540 0.7× 851 1.6× 390 1.0× 649 1.8× 78 3.1k
Wei Tang United States 29 1.5k 1.0× 687 0.9× 691 1.3× 255 0.6× 340 1.0× 88 2.8k
Amanda O’Neill Ireland 28 1.5k 1.0× 600 0.8× 454 0.9× 269 0.7× 599 1.7× 72 2.7k
Jonathan Lopez France 24 1.5k 1.0× 330 0.4× 535 1.0× 351 0.9× 514 1.5× 89 2.7k
Cheng-Yang Chou Taiwan 29 1.5k 1.0× 458 0.6× 665 1.3× 305 0.8× 207 0.6× 73 2.6k

Countries citing papers authored by Ke Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Ke Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Jiang. A scholar is included among the top collaborators of Ke Jiang 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 Ke Jiang. Ke Jiang 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.
Jin, Xiaohan, Yuntao Yang, Ke Jiang, et al.. (2025). FNDC4 Drives Metastasis and Immune Evasion in Pancreatic Cancer. Cancer Research. 86(2). 349–366. 1 indexed citations
2.
Kasten, Benjamin B., Tingting Dai, Ke Jiang, et al.. (2025). Comparison of 5-aminolevulinic acid and MMP-14 targeted peptide probes in preclinical models of GBM. Theranostics. 15(8). 3517–3531.
3.
Yu, Qian, Ke Jiang, Siyu Ma, et al.. (2025). Elesclomol-copper combination synergistically targets mitochondrial metabolism in cancer stem cells to overcome chemoresistance in PDAC. Molecular Therapy. 33(12). 6160–6177. 2 indexed citations
4.
5.
Sun, Yajie, Yu Tian, Ai Huang, et al.. (2023). Engineering irradiated tumor-derived microparticles as personalized vaccines to enhance anti-tumor immunity. Cell Reports Medicine. 4(12). 101303–101303. 9 indexed citations
6.
Kobayashi, Shinichi, Daisuke Akazawa, Ke Jiang, et al.. (2023). Identification of Membrane-expressed CAPRIN-1 as a Novel and Universal Cancer Target, and Generation of a Therapeutic Anti-CAPRIN-1 Antibody TRK-950. Cancer Research Communications. 3(4). 640–658. 5 indexed citations
7.
Huang, Ai, Kewei Liu, Jie Liu, et al.. (2023). IL-35 Stabilizes Treg Phenotype to Protect Cardiac Allografts in Mice. Transplantation. 108(1). 161–174. 3 indexed citations
8.
Liu, Rengyun, Jie Tan, Xiaopei Shen, et al.. (2021). Therapeutic targeting of FOS in mutant TERT cancers through removing TERT suppression of apoptosis via regulating survivin and TRAIL-R2. Proceedings of the National Academy of Sciences. 118(11). 19 indexed citations
9.
Meng, Jingshu, Yan Li, Chao Wan, et al.. (2021). Targeting senescence-like fibroblasts radiosensitizes non–small cell lung cancer and reduces radiation-induced pulmonary fibrosis. JCI Insight. 6(23). 81 indexed citations
10.
Zhuang, Yanyan, et al.. (2021). miR-5000-3p confers oxaliplatin resistance by targeting ubiquitin-specific peptidase 49 in colorectal cancer. Cell Death Discovery. 7(1). 129–129. 14 indexed citations
11.
Shang, Yuru, Xianbin Zhang, Lili Lu, et al.. (2021). Pharmaceutical immunoglobulin G impairs anti-carcinoma activity of oxaliplatin in colon cancer cells. British Journal of Cancer. 124(8). 1411–1420. 10 indexed citations
12.
Xie, Mian, et al.. (2021). Notch1/TAZ axis promotes aerobic glycolysis and immune escape in lung cancer. Cell Death and Disease. 12(9). 832–832. 43 indexed citations
13.
Wan, Chao, Yajie Sun, Yu Tian, et al.. (2020). Irradiated tumor cell–derived microparticles mediate tumor eradication via cell killing and immune reprogramming. Science Advances. 6(13). eaay9789–eaay9789. 189 indexed citations
14.
Shao, Xiaoyan, Ke Jiang, Jianhua Chen, et al.. (2020). Targeting STAT3 enhances NDV‐induced immunogenic cell death in prostate cancer cells. Journal of Cellular and Molecular Medicine. 24(7). 4286–4297. 36 indexed citations
15.
Hu, Lulu, Dapeng Liang, Ji Shi, et al.. (2020). Thyroid receptor-interacting protein 13 and EGFR form a feedforward loop promoting glioblastoma growth. Cancer Letters. 493. 156–166. 8 indexed citations
16.
Liu, Min, Ke Jiang, Peng Liu, et al.. (2018). Ajuba inhibits hepatocellular carcinoma cell growth via targeting of β-catenin and YAP signaling and is regulated by E3 ligase Hakai through neddylation. Journal of Experimental & Clinical Cancer Research. 37(1). 165–165. 37 indexed citations
17.
Yan, Yumei, Ke Jiang, Peng Liu, et al.. (2016). Bafilomycin A1 induces caspase-independent cell death in hepatocellular carcinoma cells via targeting of autophagy and MAPK pathways. Scientific Reports. 6(1). 37052–37052. 98 indexed citations
18.
Cheng, Jinghua, Chenxi Li, Liping Yu, et al.. (2015). Autophagy inhibitors reduce avian-reovirus-mediated apoptosis in cultured cells and in chicken embryos. Archives of Virology. 160(7). 1679–1685. 11 indexed citations
19.
Jiang, Ke, Chunyan Ren, & Venugopalan D. Nair. (2013). MicroRNA-137 represses Klf4 and Tbx3 during differentiation of mouse embryonic stem cells. Stem Cell Research. 11(3). 1299–1313. 40 indexed citations
20.
Chen, Xia, Ke Jiang, Zhining Fan, et al.. (2012). Aberrant expression of Wnt and Notch signal pathways in Barrett's esophagus. Clinics and Research in Hepatology and Gastroenterology. 36(5). 473–483. 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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