Chaoji Shi

1.3k total citations · 1 hit paper
30 papers, 667 citations indexed

About

Chaoji Shi is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chaoji Shi has authored 30 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 15 papers in Molecular Biology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chaoji Shi's work include Advanced Breast Cancer Therapies (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Melanoma and MAPK Pathways (3 papers). Chaoji Shi is often cited by papers focused on Advanced Breast Cancer Therapies (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Melanoma and MAPK Pathways (3 papers). Chaoji Shi collaborates with scholars based in China, United States and Mexico. Chaoji Shi's co-authors include Zhiyuan Zhang, Shuyang Sun, Rong Zhou, Jing Wu, Pu Zhou, Duohong Zou, Chi Yang, Huai‐Ling Gao, Lu Chen and Shu‐Hong Yu and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Chaoji Shi

27 papers receiving 662 citations

Hit Papers

Anti‐Swelling, Robust, and Adhesive Extracellular Matrix‐... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaoji Shi China 13 313 192 95 87 83 30 667
Areck A. Ucuzian United States 11 260 0.8× 166 0.9× 76 0.8× 134 1.5× 155 1.9× 25 777
Min Nie China 16 295 0.9× 94 0.5× 101 1.1× 182 2.1× 67 0.8× 32 740
Kun Ji China 15 262 0.8× 150 0.8× 91 1.0× 192 2.2× 112 1.3× 38 776
Yiming Zhong China 10 244 0.8× 132 0.7× 89 0.9× 172 2.0× 68 0.8× 27 643
Alfredo de Jesús Célis de la Rosa Italy 11 243 0.8× 242 1.3× 103 1.1× 76 0.9× 131 1.6× 18 679
Jing Liang China 16 207 0.7× 115 0.6× 93 1.0× 134 1.5× 176 2.1× 74 967
Dongli Fan China 14 316 1.0× 108 0.6× 135 1.4× 134 1.5× 187 2.3× 49 801
Xiaomo Wu China 11 285 0.9× 307 1.6× 99 1.0× 77 0.9× 106 1.3× 18 839
Shaobo Xue China 12 289 0.9× 100 0.5× 135 1.4× 136 1.6× 60 0.7× 20 664
Marta Miyazawa Brazil 11 288 0.9× 140 0.7× 89 0.9× 85 1.0× 151 1.8× 21 799

Countries citing papers authored by Chaoji Shi

Since Specialization
Citations

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

Fields of papers citing papers by Chaoji Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoji Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoji Shi. A scholar is included among the top collaborators of Chaoji 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 Chaoji Shi. Chaoji 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.
Yu, Liang, Bao Sun, Rong Zhou, et al.. (2025). CDK4/6 Inhibitor Priming Enhances PD‐1 Blockade via Sell hi Neutrophil‐Induced Stat5a + Progenitor Exhausted CD8 + T Cell. Advanced Science. 12(44). e10501–e10501.
3.
Shi, Chaoji, Houyu Ju, Yunteng Wu, et al.. (2024). Potential role of cyclin-dependent kinase 4/6 inhibitors in the treatment of mucosal melanoma. 3(1). 1 indexed citations
4.
Li, Zhenming, You Fu, Yuhua Hu, et al.. (2023). Low-dose arecoline regulates distinct core signaling pathways in oral submucous fibrosis and oral squamous cell carcinoma. BMC Oral Health. 23(1). 171–171. 7 indexed citations
5.
Liu, Shuli, Lin Zhang, Weimin Ye, et al.. (2023). Apatinib potentiates the therapeutic effect of anti‐PD‐1 in locally advanced head and neck cancers. Oral Diseases. 30(5). 2940–2951. 4 indexed citations
6.
Ma, Hailong, Chaoji Shi, Shufang Jin, et al.. (2023). Fibular flap mandibular reconstruction for third-stage medication-related osteonecrosis of the jaw: A retrospective single-center study. Journal of Dental Sciences. 18(3). 976–984. 5 indexed citations
7.
Shi, Chaoji, Shengming Xu, Houyu Ju, et al.. (2022). Candidate therapeutic agents in a newly established triple wild‐type mucosal melanoma cell line. Cancer Communications. 42(7). 627–647. 7 indexed citations
8.
Xu, Shengming, Chaoji Shi, Ronghui Xia, et al.. (2022). Analysis of Immunological Characteristics and Genomic Alterations in HPV-Positive Oropharyngeal Squamous Cell Carcinoma Based on PD-L1 Expression. Frontiers in Immunology. 12. 798424–798424. 9 indexed citations
9.
10.
Shi, Chaoji, Shengming Xu, Chuwen Li, et al.. (2021). Epithelioid sarcoma: A clinicopathological study of 12 head and neck cases. Oral Diseases. 28(6). 1519–1527. 4 indexed citations
12.
Qi, Lei S., Lu Liu, Yue Hu, et al.. (2020). Concentrated growth factor promotes gingival regeneration through the AKT/Wnt/β-catenin and YAP signaling pathways. Artificial Cells Nanomedicine and Biotechnology. 48(1). 920–932. 15 indexed citations
13.
Zhou, Rong, Chaoji Shi, Jiang Li, et al.. (2019). Analysis of Mucosal Melanoma Whole-Genome Landscapes Reveals Clinically Relevant Genomic Aberrations. Clinical Cancer Research. 25(12). 3548–3560. 64 indexed citations
14.
Xu, Shengming, Bao Sun, Rong Zhou, et al.. (2019). Evaluation of p16 as a surrogate marker for transcriptionally active human papillomavirus status of oropharyngeal squamous cell carcinoma in an eastern Chinese population. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 129(3). 236–245.e2. 10 indexed citations
15.
Qi, Lei S., et al.. (2019). Yes‐associated protein promotes cell migration via activating Wiskott‐Aldrich syndrome protein family member 1 in oral squamous cell carcinoma. Journal of Oral Pathology and Medicine. 48(4). 290–298. 11 indexed citations
16.
Hu, Yudong, Kaikai Yu, Gang Wang, et al.. (2018). Lanatoside C inhibits cell proliferation and induces apoptosis through attenuating Wnt/β-catenin/c-Myc signaling pathway in human gastric cancer cell. Biochemical Pharmacology. 150. 280–292. 66 indexed citations
17.
Zhang, Wuchang, Lin‐Juan Du, Xiaojun Zheng, et al.. (2017). Elevated sodium chloride drives type I interferon signaling in macrophages and increases antiviral resistance. Journal of Biological Chemistry. 293(3). 1030–1039. 24 indexed citations
18.
Sun, Jianyong, Lin‐Juan Du, Chaoji Shi, et al.. (2017). Inhibition of neddylation by MLN4924 improves neointimal hyperplasia and promotes apoptosis of vascular smooth muscle cells through p53 and p62. Cell Death and Differentiation. 25(2). 319–329. 30 indexed citations
19.
Sun, Shuyang, Yilong Wang, Rong Zhou, et al.. (2017). Targeting and Regulating of an Oncogene via Nanovector Delivery of MicroRNA using Patient-Derived Xenografts. Theranostics. 7(3). 677–693. 34 indexed citations
20.
Sun, Shuyang, Suling Liu, Sheng Zhong Duan, et al.. (2014). Targeting the c-Met/FZD8 Signaling Axis Eliminates Patient-Derived Cancer Stem–like Cells in Head and Neck Squamous Carcinomas. Cancer Research. 74(24). 7546–7559. 83 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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