Chenghong Ji

491 total citations
10 papers, 417 citations indexed

About

Chenghong Ji is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Chenghong Ji has authored 10 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Chenghong Ji's work include Peptidase Inhibition and Analysis (2 papers), MicroRNA in disease regulation (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Chenghong Ji is often cited by papers focused on Peptidase Inhibition and Analysis (2 papers), MicroRNA in disease regulation (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Chenghong Ji collaborates with scholars based in China. Chenghong Ji's co-authors include Xuan Yi, Zhuang Liu, Guosheng Song, Xuejiao Song, Chao Liang, Ziliang Dong, Kai Yang, Minhua Shi, Zhengjie Huang and Jianmin Zhuang and has published in prestigious journals such as Biomaterials, Biomedicine & Pharmacotherapy and Asian Pacific Journal of Cancer Prevention.

In The Last Decade

Chenghong Ji

10 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chenghong Ji China	8	199	142	115	74	69	10	417
Kankai Wang China	8	114 0.6×	292 2.1×	55 0.5×	97 1.3×	38 0.6×	12	527
Farhad Pouremamali Iran	11	96 0.5×	319 2.2×	139 1.2×	62 0.8×	35 0.5×	15	581
Hongyan Su China	8	135 0.7×	157 1.1×	35 0.3×	117 1.6×	41 0.6×	8	432
Peng Hua China	16	95 0.5×	322 2.3×	70 0.6×	42 0.6×	68 1.0×	34	617
Barbara Lettiero Sweden	11	124 0.6×	259 1.8×	107 0.9×	206 2.8×	60 0.9×	16	653
Dahua Fan China	8	256 1.3×	347 2.4×	159 1.4×	191 2.6×	61 0.9×	10	764
Ziwei Miao China	12	77 0.4×	246 1.7×	102 0.9×	37 0.5×	66 1.0×	15	486
Araceli Lérida‐Viso Spain	7	110 0.6×	198 1.4×	20 0.2×	54 0.7×	37 0.5×	8	462
Irene L. Ibañez Argentina	11	62 0.3×	178 1.3×	64 0.6×	43 0.6×	69 1.0×	23	358
Yutong Wang China	12	60 0.3×	248 1.7×	148 1.3×	44 0.6×	28 0.4×	39	447

Countries citing papers authored by Chenghong Ji

Since Specialization

Citations

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

Fields of papers citing papers by Chenghong Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenghong Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Chenghong Ji. A scholar is included among the top collaborators of Chenghong 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 Chenghong Ji. Chenghong Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Ji, Chenghong, et al.. (2021). Making ERRFI1-Derived Peptides ‘Bindable’ to the Allosteric Dimerization Interface of Breast Cancer ERBB3 Kinase by Adding a Nonbonded Interaction System. International Journal of Peptide Research and Therapeutics. 27(4). 2895–2904. 1 indexed citations

Ji, Chenghong, et al.. (2020). The anti‐infection drug furazolidone inhibits NF‐κB signaling and induces cell apoptosis in small cell lung cancer. The Kaohsiung Journal of Medical Sciences. 36(12). 998–1003. 9 indexed citations

Ji, Chenghong, et al.. (2019). Nitroxoline induces cell apoptosis by inducing MDM2 degradation in small‐cell lung cancer. The Kaohsiung Journal of Medical Sciences. 35(4). 202–208. 10 indexed citations

Ji, Chenghong, et al.. (2018). MicroRNA‐26b suppresses tumorigenicity and promotes apoptosis in small cell lung cancer cells by targeting myeloid cell leukemia 1 protein. The Kaohsiung Journal of Medical Sciences. 34(11). 593–605. 10 indexed citations

Zhuang, Jianmin, et al.. (2018). Curcumin inhibits hepatocellular carcinoma growth by targeting VEGF expression. Oncology Letters. 15(4). 4821–4826. 64 indexed citations

Zhang, Zengli, Hongfeng Wang, Qifeng Ding, et al.. (2017). The tumor suppressor p53 regulates autophagosomal and lysosomal biogenesis in lung cancer cells by targeting transcription factor EB. Biomedicine & Pharmacotherapy. 89. 1055–1060. 16 indexed citations

Ji, Chenghong, Yuchao Chen, Zhe Lei, et al.. (2017). Melatonin inhibits proliferation and invasion via repression of miRNA-155 in glioma cells. Biomedicine & Pharmacotherapy. 93. 969–975. 72 indexed citations

Song, Guosheng, Chenghong Ji, Chao Liang, et al.. (2016). TaOx decorated perfluorocarbon nanodroplets as oxygen reservoirs to overcome tumor hypoxia and enhance cancer radiotherapy. Biomaterials. 112. 257–263. 215 indexed citations

Du, Ziyan, Minhua Shi, Chenghong Ji, & Yong Yu. (2015). Serum Pleiotrophin Could Be an Early Indicator for Diagnosis and Prognosis of Non-Small Cell Lung Cancer. Asian Pacific Journal of Cancer Prevention. 16(4). 1421–1425. 17 indexed citations

10.

Li, Guoxin, et al.. (2013). [Expression and clinical significance of secretory leucocyte protease inhibitor in colon carcinoma].. PubMed. 33(6). 898–901. 3 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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