Huihui Ji

1.1k total citations
51 papers, 661 citations indexed

About

Huihui Ji is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Huihui Ji has authored 51 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 12 papers in Cancer Research and 10 papers in Oncology. Recurrent topics in Huihui Ji's work include Epigenetics and DNA Methylation (20 papers), RNA modifications and cancer (10 papers) and Cancer-related gene regulation (8 papers). Huihui Ji is often cited by papers focused on Epigenetics and DNA Methylation (20 papers), RNA modifications and cancer (10 papers) and Cancer-related gene regulation (8 papers). Huihui Ji collaborates with scholars based in China, Germany and United States. Huihui Ji's co-authors include Shiwei Duan, Xueqiong Zhu, Guili Liu, Kehan Li, Ingrid Herr, Qinwen Wang, Jianan Zhang, Haochang Hu, Xuting Xu and Hanmei Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Huihui Ji

51 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huihui Ji China 17 395 123 84 77 60 51 661
Junjian Huang United States 13 468 1.2× 92 0.7× 152 1.8× 86 1.1× 147 2.5× 59 967
Javier Florido Spain 13 324 0.8× 78 0.6× 134 1.6× 60 0.8× 30 0.5× 20 773
Longwei Xu China 13 369 0.9× 58 0.5× 106 1.3× 63 0.8× 21 0.3× 18 740
Yuan Qu China 17 263 0.7× 81 0.7× 58 0.7× 50 0.6× 13 0.2× 34 728
Magdalena Dudkowska Poland 9 247 0.6× 45 0.4× 149 1.8× 36 0.5× 42 0.7× 21 513
Yuh‐Lih Chang Taiwan 16 328 0.8× 85 0.7× 92 1.1× 182 2.4× 125 2.1× 50 999
Yasushi Okuno Japan 12 439 1.1× 316 2.6× 133 1.6× 56 0.7× 33 0.6× 16 972
Hye Jin Jee South Korea 14 330 0.8× 66 0.5× 92 1.1× 85 1.1× 20 0.3× 22 585
Aleksandra Szybińska Poland 17 350 0.9× 40 0.3× 274 3.3× 69 0.9× 92 1.5× 24 719

Countries citing papers authored by Huihui Ji

Since Specialization
Citations

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

Fields of papers citing papers by Huihui Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huihui Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Huihui Ji. A scholar is included among the top collaborators of Huihui 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 Huihui Ji. Huihui 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.
Sheng, Bo, Shuya Pan, Miaomiao Ye, et al.. (2024). Single-cell RNA sequencing of cervical exfoliated cells reveals potential biomarkers and cellular pathogenesis in cervical carcinogenesis. Cell Death and Disease. 15(2). 130–130. 19 indexed citations
2.
Liu, Yi, Yujia Zhou, Xin Chen, et al.. (2024). TM7SF2-induced lipid reprogramming promotes cell proliferation and migration via CPT1A/Wnt/β-Catenin axis in cervical cancer cells. Cell Death Discovery. 10(1). 207–207. 7 indexed citations
3.
Ji, Huihui, Zihan Zhang, Wenbin Xu, et al.. (2024). The impact of quercetin and paclitaxel combination on ovarian cancer cells. iScience. 27(8). 110434–110434. 3 indexed citations
4.
Ye, Miaomiao, et al.. (2024). Cisplatin-encapsulated TRAIL-engineered exosomes from human chorion-derived MSCs for targeted cervical cancer therapy. Stem Cell Research & Therapy. 15(1). 396–396. 8 indexed citations
5.
Sheng, Bo, et al.. (2023). Copine 1 predicts poor clinical outcomes by promoting M2 macrophage activation in ovarian cancer. Carcinogenesis. 44(10-11). 748–759. 6 indexed citations
6.
Liu, Yi, Miaomiao Ye, Mengying Jiang, et al.. (2023). Methylation of BRD4 by PRMT1 regulates BRD4 phosphorylation and promotes ovarian cancer invasion. Cell Death and Disease. 14(9). 624–624. 15 indexed citations
8.
Ji, Huihui, et al.. (2023). Prostate zones and tumor morphological parameters on magnetic resonance imaging for predicting the tumor-stage diagnosis of prostate cancer. Diagnostic and Interventional Radiology. 29(6). 753–760. 1 indexed citations
9.
Zou, Shuangwei, Miaomiao Ye, Jianan Zhang, et al.. (2022). Establishment and genetically characterization of patient-derived xenograft models of cervical cancer. BMC Medical Genomics. 15(1). 191–191. 7 indexed citations
10.
Han, Shanshan, et al.. (2022). UHMK1 Is a Novel Marker for Personalized Prediction of Pancreatic Cancer Prognosis. Frontiers in Oncology. 12. 834647–834647. 6 indexed citations
11.
Liu, Yi, Yichi Xu, Wenxiao Jiang, et al.. (2021). Discovery of key genes as novel biomarkers specifically associated with HPV-negative cervical cancer. Molecular Therapy — Methods & Clinical Development. 21. 492–506. 22 indexed citations
12.
Ji, Huihui, et al.. (2021). Sulforaphane Targets TRA-1/GLI Upstream of DAF-16/FOXO to Promote C. elegans Longevity and Healthspan. Frontiers in Cell and Developmental Biology. 9. 784999–784999. 8 indexed citations
13.
Ji, Huihui, Quanyong Yi, Li Ping Wong, et al.. (2019). Circulating miR-3197 and miR-2116-5p as novel biomarkers for diabetic retinopathy. Clinica Chimica Acta. 501. 147–153. 27 indexed citations
14.
Ji, Huihui, Cong Zhou, Liyuan Han, et al.. (2018). APOE hypermethylation is significantly associated with coronary heart disease in males. Gene. 689. 84–89. 20 indexed citations
15.
Ji, Huihui, Yunliang Wang, Guili Liu, et al.. (2017). Elevated OPRD1 promoter methylation in Alzheimer’s disease patients. PLoS ONE. 12(3). e0172335–e0172335. 17 indexed citations
16.
Liu, Guili, Huihui Ji, Jing Liu, et al.. (2016). Association of OPRK1 and OPRM1 methylation with mild cognitive impairment in Xinjiang Han and Uygur populations. Neuroscience Letters. 636. 170–176. 11 indexed citations
17.
Ma, Wenjuan, Xiaohui Zhou, Huihui Ji, et al.. (2015). Population difference in the association of BDNF promoter methylation with mild cognitive impairment in the Xinjiang Uygur and Han populations. Psychiatry Research. 229(3). 926–932. 9 indexed citations
18.
Li, Jinyun, Tao Huang, Danjie Jiang, et al.. (2015). Association between RASSF1A Promoter Hypermethylation and Oncogenic HPV Infection Status in Invasive Cervical Cancer: a Meta-analysis. Asian Pacific Journal of Cancer Prevention. 16(14). 5749–5754. 18 indexed citations
19.
Ye, Huadan, Qingxiao Hong, Xiaoying Chen, et al.. (2015). Association of seven thrombotic pathway gene CpG-SNPs with coronary heart disease. Biomedicine & Pharmacotherapy. 72. 98–102. 9 indexed citations
20.
Ji, Huihui, Dongjun Dai, Yunliang Wang, et al.. (2015). Association of BDNF and BCHE with Alzheimer's disease: Meta-analysis based on 56 genetic case-control studies of 12,563 cases and 12,622 controls. Experimental and Therapeutic Medicine. 9(5). 1831–1840. 33 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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