Dengbo Ji

1.2k total citations
30 papers, 916 citations indexed

About

Dengbo Ji is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Dengbo Ji has authored 30 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 15 papers in Molecular Biology and 8 papers in Surgery. Recurrent topics in Dengbo Ji's work include Colorectal Cancer Surgical Treatments (10 papers), Colorectal and Anal Carcinomas (8 papers) and Genetic factors in colorectal cancer (7 papers). Dengbo Ji is often cited by papers focused on Colorectal Cancer Surgical Treatments (10 papers), Colorectal and Anal Carcinomas (8 papers) and Genetic factors in colorectal cancer (7 papers). Dengbo Ji collaborates with scholars based in China, Ethiopia and United States. Dengbo Ji's co-authors include Jin Gu, Tiancheng Zhan, Zhiqian Zhang, Yunfeng Yao, Zhiguo Chen, Jinying Jia, Jianzhong Xi, Ming Li, Jia Ye and Jin Gu and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Medicinal Chemistry and Molecular Cancer.

In The Last Decade

Dengbo Ji

29 papers receiving 905 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dengbo Ji China 16 498 366 328 130 101 30 916
Mingde Zang China 14 457 0.9× 206 0.6× 211 0.6× 82 0.6× 82 0.8× 21 732
Zhouyu Ning China 19 500 1.0× 357 1.0× 364 1.1× 87 0.7× 116 1.1× 40 911
Jiaqiang Dong China 17 780 1.6× 427 1.2× 257 0.8× 97 0.7× 69 0.7× 30 1.2k
Aleksandra Adamska Australia 10 452 0.9× 255 0.7× 572 1.7× 91 0.7× 156 1.5× 11 975
Jinglei Qu China 19 611 1.2× 297 0.8× 469 1.4× 183 1.4× 106 1.0× 50 1.1k
Peishu Liu China 22 774 1.6× 473 1.3× 169 0.5× 131 1.0× 83 0.8× 62 1.2k
Xuequan Yao China 20 494 1.0× 305 0.8× 313 1.0× 145 1.1× 149 1.5× 37 921
Minya Yao China 20 635 1.3× 500 1.4× 359 1.1× 187 1.4× 56 0.6× 29 1.1k
Xinhan Zhao China 14 402 0.8× 211 0.6× 351 1.1× 152 1.2× 76 0.8× 26 861
Hongmei Yong China 18 601 1.2× 273 0.7× 233 0.7× 146 1.1× 54 0.5× 41 878

Countries citing papers authored by Dengbo Ji

Since Specialization
Citations

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

Fields of papers citing papers by Dengbo Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dengbo Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Dengbo Ji. A scholar is included among the top collaborators of Dengbo Ji 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 Dengbo Ji. Dengbo Ji 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.
Li, Xin, Nan Chen, Zhaoya Gao, et al.. (2025). HDAC and MEK inhibition synergistically suppresses HOXC6 and enhances PD-1 blockade efficacy in BRAFV600E-mutant microsatellite stable colorectal cancer. Journal for ImmunoTherapy of Cancer. 13(1). e010460–e010460. 4 indexed citations
2.
Li, Yingjie, Chaohu Pan, Li Zhang, et al.. (2024). Total Neoadjuvant Therapy With PD-1 Blockade for High-Risk Proficient Mismatch Repair Rectal Cancer. JAMA Surgery. 159(5). 529–529. 17 indexed citations
3.
Ji, Dengbo, et al.. (2023). Design and synthesis of doublecortin-like kinase 1 inhibitors and their bioactivity evaluation. Journal of Enzyme Inhibition and Medicinal Chemistry. 39(1). 2287990–2287990.
4.
Li, Yingjie, Li Zhang, Dengbo Ji, et al.. (2023). Single-cell profiling reveals differences between human classical adenocarcinoma and mucinous adenocarcinoma. Communications Biology. 6(1). 85–85. 13 indexed citations
5.
Chen, Nan, et al.. (2023). UVRAG Promotes Tumor Progression through Regulating SP1 in Colorectal Cancer. Cancers. 15(9). 2502–2502. 6 indexed citations
6.
Ji, Dengbo, Zhaoya Gao, Jinying Jia, et al.. (2022). Predictive value of proteomic markers for advanced rectal cancer with neoadjuvant chemoradiotherapy. BMC Cancer. 22(1). 868–868. 8 indexed citations
7.
Li, Ming, Jiajia Chen, Dengbo Ji, et al.. (2021). Surgery may not benefit patients with locally advanced rectal cancer who achieved clinical complete response following neoadjuvant chemoradiotherapy. Asian Journal of Surgery. 45(1). 97–104. 8 indexed citations
8.
Ji, Dengbo, Tiancheng Zhan, Jinying Jia, et al.. (2020). Tumor mutation burden in blood predicts benefit from neoadjuvant chemo/radiotherapy in locally advanced rectal cancer. Genomics. 113(1). 957–966. 14 indexed citations
9.
Ji, Dengbo & Aiwen Wu. (2020). Organoid in colorectal cancer: progress and challenges. Chinese Medical Journal. 133(16). 1971–1977. 16 indexed citations
10.
Ji, Dengbo, Tiancheng Zhan, Zhaowei Li, et al.. (2018). Somatic Mutations and Immune Alternation in Rectal Cancer Following Neoadjuvant Chemoradiotherapy. Cancer Immunology Research. 6(11). 1401–1416. 29 indexed citations
11.
Zhao, Qianqian, Tiancheng Zhan, Zaian Deng, et al.. (2018). Glycan analysis of colorectal cancer samples reveals stage-dependent changes in CEA glycosylation patterns. Clinical Proteomics. 15(1). 9–9. 52 indexed citations
12.
Ji, Dengbo, Tiancheng Zhan, Ming Li, et al.. (2018). Enhancement of Sensitivity to Chemo/Radiation Therapy by Using miR-15b against DCLK1 in Colorectal Cancer. Stem Cell Reports. 11(6). 1506–1522. 49 indexed citations
13.
Ji, Dengbo, Meng Qiao, Yunfeng Yao, et al.. (2018). Serum-based microRNA signature predicts relapse and therapeutic outcome of adjuvant chemotherapy in colorectal cancer patients. EBioMedicine. 35. 189–197. 38 indexed citations
14.
Ji, Dengbo, Tiancheng Zhan, Yunfeng Yao, et al.. (2016). Prognostic value of pigment epithelium-derived factor for neoadjuvant radiation therapy in patients with locally advanced rectal carcinoma. International Journal of Oncology. 49(4). 1415–1426. 10 indexed citations
15.
Wang, Lin, Zhiwei Zhai, Dengbo Ji, Zhongwu Li, & Jin Gu. (2015). Prognostic value of CD45RO(+) tumor-infiltrating lymphocytes for locally advanced rectal cancer following 30 Gy/10f neoadjuvant radiotherapy. International Journal of Colorectal Disease. 30(6). 753–760. 16 indexed citations
16.
Huang, Chuncui, Tiancheng Zhan, Yaming Liu, et al.. (2015). Glycomic profiling of carcinoembryonic antigen isolated from human tumor tissue. Clinical Proteomics. 12(1). 17–17. 22 indexed citations
17.
Ji, Dengbo, Zhiguo Chen, Ming Li, et al.. (2014). MicroRNA-181a promotes tumor growth and liver metastasis in colorectal cancer by targeting the tumor suppressor WIF-1. Molecular Cancer. 13(1). 86–86. 134 indexed citations
18.
Ji, Dengbo, Ming Li, Tiancheng Zhan, et al.. (2013). Prognostic role of serum AZGP1, PEDF and PRDX2 in colorectal cancer patients. Carcinogenesis. 34(6). 1265–1272. 45 indexed citations
19.
Gu, Jin, Zhiguo Chen, Wei Zhao, et al.. (2011). Let‐7c functions as a metastasis suppressor by targeting MMP11 and PBX3 in colorectal cancer. The Journal of Pathology. 226(3). 544–555. 130 indexed citations
20.
Ji, Dengbo, et al.. (2009). Anti-tumor effect of Liqi, a traditional Chinese medicine prescription, in tumor bearing mice. BMC Complementary and Alternative Medicine. 9(1). 20–20. 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.

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