Jiadong Chi

716 total citations
27 papers, 567 citations indexed

About

Jiadong Chi is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jiadong Chi has authored 27 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Jiadong Chi's work include Angiogenesis and VEGF in Cancer (5 papers), MicroRNA in disease regulation (4 papers) and Cancer Cells and Metastasis (4 papers). Jiadong Chi is often cited by papers focused on Angiogenesis and VEGF in Cancer (5 papers), MicroRNA in disease regulation (4 papers) and Cancer Cells and Metastasis (4 papers). Jiadong Chi collaborates with scholars based in China, United States and Italy. Jiadong Chi's co-authors include Xueyi Dong, Xiulan Zhao, Ran Sun, Baocun Sun, Jingzhu Zhao, Ming Gao, Yigong Li, Qiang Gu, Baocun Sun and Xiangqian Zheng and has published in prestigious journals such as Oncogene, ACS Applied Materials & Interfaces and Biosensors and Bioelectronics.

In The Last Decade

Jiadong Chi

25 papers receiving 564 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiadong Chi China 12 425 267 193 73 45 27 567
Huizhi Sun China 16 478 1.1× 313 1.2× 188 1.0× 72 1.0× 76 1.7× 23 641
Daniel Delgado‐Bellido Spain 10 339 0.8× 182 0.7× 175 0.9× 60 0.8× 56 1.2× 18 488
Guoxin Mao China 17 511 1.2× 221 0.8× 189 1.0× 83 1.1× 81 1.8× 35 655
Amar Desai United States 11 386 0.9× 157 0.6× 185 1.0× 52 0.7× 76 1.7× 23 599
Hong Qi China 17 430 1.0× 198 0.7× 125 0.6× 61 0.8× 61 1.4× 29 597
Yantian Fang China 14 434 1.0× 356 1.3× 155 0.8× 60 0.8× 59 1.3× 23 641
Deepika Neelakantan United States 9 298 0.7× 180 0.7× 186 1.0× 56 0.8× 34 0.8× 11 463
Christalle C. T. Chow Japan 6 368 0.9× 284 1.1× 113 0.6× 64 0.9× 46 1.0× 8 549
Jianbing Hou China 13 408 1.0× 148 0.6× 154 0.8× 51 0.7× 60 1.3× 24 629
Linfang Jin China 13 329 0.8× 227 0.9× 119 0.6× 70 1.0× 29 0.6× 27 538

Countries citing papers authored by Jiadong Chi

Since Specialization
Citations

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

Fields of papers citing papers by Jiadong Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiadong Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Jiadong Chi. A scholar is included among the top collaborators of Jiadong Chi 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 Jiadong Chi. Jiadong Chi 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
2.
Wang, Tong, Zhijie Wang, Lina Lu, et al.. (2025). Synergistic self-calibration strategy based on nano-cornucopia MOFs for accurate HER-2 detection in precision breast cancer diagnosis. Biosensors and Bioelectronics. 288. 117813–117813. 2 indexed citations
3.
Jiao, Jun, Zhijie Wang, Jiadong Chi, et al.. (2024). An oriented self-assembly biosensor with built-in error-checking for precise midkine detection in cancer diagnosis and prognosis evaluation. Biosensors and Bioelectronics. 268. 116905–116905. 3 indexed citations
4.
Gu, Pengfei, Jie Zhao, Wei Zhang, et al.. (2024). An Inducible CRISPR‐dCas9‐Based Transcriptional Repression System for Cancer Therapy. Small Methods. 8(8). e2301310–e2301310. 2 indexed citations
5.
Chi, Jiadong, Wei Zhang, Yigong Li, et al.. (2022). TET3 Mediates 5hmC Level and Promotes Tumorigenesis by Activating AMPK Pathway in Papillary Thyroid Cancer. International Journal of Endocrinology. 2022. 1–13. 7 indexed citations
6.
Gu, Pengfei, Yu Zeng, Wei Zhang, et al.. (2022). Characterization of the CpG island methylator phenotype subclass in papillary thyroid carcinoma. Frontiers in Endocrinology. 13. 1008301–1008301. 4 indexed citations
7.
Gu, Pengfei, Bin Ling, Jinming Zhang, et al.. (2022). Indoleamine 2,3-dioxygenase 2 immunohistochemical expression in medullary thyroid carcinoma: implications in prognosis and immunomodulatory effects. BMC Cancer. 22(1). 1116–1116. 3 indexed citations
8.
Chi, Jiadong, Jingzhu Zhao, Songfeng Wei, et al.. (2021). A CRISPR-Cas9-Based Near-Infrared Upconversion-Activated DNA Methylation Editing System. ACS Applied Materials & Interfaces. 13(5). 6043–6052. 15 indexed citations
9.
Zhao, Jingzhu, Xiangqian Zheng, Ming Gao, et al.. (2021). Ultrasound features of medullary thyroid cancer as predictors of biological behavior. Cancer Imaging. 21(1). 33–33. 9 indexed citations
10.
Zhao, Jingzhu, Xinwei Yun, Xianhui Ruan, et al.. (2019). <p>High expression of NUCB2 promotes papillary thyroid cancer cells proliferation and invasion</p>. OncoTargets and Therapy. Volume 12. 1309–1318. 11 indexed citations
11.
Zhao, Jingzhu, Jiadong Chi, Ming Gao, et al.. (2017). Loss of PTEN Expression Is Associated With High MicroRNA 24 Level and Poor Prognosis in Patients With Tongue Squamous Cell Carcinoma. Journal of Oral and Maxillofacial Surgery. 75(7). 1449.e1–1449.e8. 19 indexed citations
12.
Zheng, Xiangqian, Jiadong Chi, Zhi Jiang, et al.. (2017). Aurora-A-mediated phosphorylation of LKB1 compromises LKB1/AMPK signaling axis to facilitate NSCLC growth and migration. Oncogene. 37(4). 502–511. 41 indexed citations
13.
Zhao, Jingzhu, Jiadong Chi, Jiansen Li, et al.. (2016). miR-24 promotes the proliferation, migration and invasion in human tongue squamous cell carcinoma by targeting FBXW7. Oncology Reports. 36(2). 1143–1149. 36 indexed citations
14.
Zheng, Xiangqian, Jiansen Li, Peng Chen, et al.. (2015). MicroRNA-24 induces cisplatin resistance by targeting PTEN in human tongue squamous cell carcinoma. Oral Oncology. 51(11). 998–1003. 40 indexed citations
15.
Zhang, Danfang, Baocun Sun, Xiulan Zhao, et al.. (2014). Twist1 expression induced by sunitinib accelerates tumor cell vasculogenic mimicry by increasing the population of CD133+ cells in triple-negative breast cancer. Molecular Cancer. 13(1). 207–207. 109 indexed citations
16.
Cao, Rui, Liping Wang, Jiadong Chi, & Xiong-Zhi Wu. (2014). Nodule and eminence on frenulum labii superioris: Diagnostic markers for metastatic colorectal cancer. Chinese Journal of Integrative Medicine. 20(6). 416–419. 2 indexed citations
17.
Mo, Jing, Baocun Sun, Xiulan Zhao, et al.. (2013). The in-vitro spheroid culture induces a more highly differentiated but tumorigenic population from melanoma cell lines. Melanoma Research. 23(4). 254–263. 20 indexed citations
18.
Mo, Jing, Baocun Sun, Xiulan Zhao, et al.. (2013). Hypoxia-induced senescence contributes to the regulation of microenvironment in melanomas. Pathology - Research and Practice. 209(10). 640–647. 15 indexed citations
19.
Sun, Dan, Baocun Sun, Tieju Liu, et al.. (2013). Slug promoted vasculogenic mimicry in hepatocellular carcinoma. Journal of Cellular and Molecular Medicine. 17(8). 1038–1047. 62 indexed citations
20.
Zhang, Danfang, Baocun Sun, Xiulan Zhao, et al.. (2012). Secreted CLU is associated with the initiation of triple-negative breast cancer. Cancer Biology & Therapy. 13(5). 321–329. 10 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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