Jinyu Kong

940 total citations
27 papers, 674 citations indexed

About

Jinyu Kong is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jinyu Kong has authored 27 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Jinyu Kong's work include Epigenetics and DNA Methylation (5 papers), Cancer-related molecular mechanisms research (5 papers) and MicroRNA in disease regulation (4 papers). Jinyu Kong is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Cancer-related molecular mechanisms research (5 papers) and MicroRNA in disease regulation (4 papers). Jinyu Kong collaborates with scholars based in China, United States and Singapore. Jinyu Kong's co-authors include Shegan Gao, Biyun Qian, Fangxiu Xu, Herbert Yu, Xiaoshan Feng, Xiang Yuan, Zhikun Ma, Fuyou Zhou, Xiaojie Chen and Hong Yang and has published in prestigious journals such as PLoS ONE, Oncogene and Cancer Letters.

In The Last Decade

Jinyu Kong

27 papers receiving 666 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinyu Kong China 17 407 249 135 123 85 27 674
Sofia Spyridonidou Greece 15 298 0.7× 211 0.8× 232 1.7× 71 0.6× 51 0.6× 31 663
Ajiravudh Subarnbhesaj Thailand 10 227 0.6× 108 0.4× 116 0.9× 58 0.5× 73 0.9× 23 567
Pratik Chandrani India 13 262 0.6× 232 0.9× 203 1.5× 237 1.9× 61 0.7× 53 581
Byonggu An Japan 9 434 1.1× 85 0.3× 210 1.6× 127 1.0× 142 1.7× 19 675
K. Ramadas India 9 272 0.7× 112 0.4× 148 1.1× 44 0.4× 74 0.9× 15 671
Atul Samaiya India 13 338 0.8× 213 0.9× 73 0.5× 43 0.3× 86 1.0× 29 528
Hai-De Qin China 16 403 1.0× 289 1.2× 340 2.5× 90 0.7× 146 1.7× 18 926
Francesca Pezzuto Italy 11 363 0.9× 266 1.1× 108 0.8× 75 0.6× 86 1.0× 16 672
Jinlin Jia China 13 336 0.8× 265 1.1× 59 0.4× 46 0.4× 37 0.4× 19 533
Viola M. M. van Houten Netherlands 7 176 0.4× 91 0.4× 237 1.8× 60 0.5× 153 1.8× 7 580

Countries citing papers authored by Jinyu Kong

Since Specialization
Citations

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

Fields of papers citing papers by Jinyu Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinyu Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Jinyu Kong. A scholar is included among the top collaborators of Jinyu Kong 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 Jinyu Kong. Jinyu Kong 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.
Ju, Yang, et al.. (2025). 100-m resolution Age-Stratified Population Estimation from the 2020 China Census by Township (ASPECT). Scientific Data. 12(1). 1058–1058. 1 indexed citations
2.
Yin, Minyue, Jinyu Kong, Jian Zhang, et al.. (2023). Development of a scoring system for predicting primary resistance to venetoclax plus hypomethylating agents (HMAs) in acute myeloid leukemia patients. Molecular Carcinogenesis. 62(10). 1572–1584. 6 indexed citations
3.
Zhou, Fuyou, Haijun Yang, Zheyuan Zhang, et al.. (2023). Porphyromonas gingivalis promotes malignancy and chemo-resistance via GSK3β-mediated mitochondrial oxidative phosphorylation in human esophageal squamous cell carcinoma. Translational Oncology. 32. 101656–101656. 16 indexed citations
4.
Liu, Yiwen, Fuyou Zhou, Haijun Yang, et al.. (2023). Clinical Significance of Porphyromonas gingivalis Enriching Cancer Stem Cells by Inhibiting Programmed Cell Death Factor 4 in Esophageal Squamous Cell Carcinoma. ACS Infectious Diseases. 9(10). 1846–1857. 4 indexed citations
5.
Yang, Hong, Yiwen Liu, & Jinyu Kong. (2021). Effect of aerobic exercise on acquired gefitinib resistance in lung adenocarcinoma. Translational Oncology. 14(11). 101204–101204. 11 indexed citations
6.
Chen, Xiaojie, Shegan Gao, Zhiwei Zhao, et al.. (2020). MicroRNA-320d regulates tumor growth and invasion by promoting FoxM1 and predicts poor outcome in gastric cardiac adenocarcinoma. Cell & Bioscience. 10(1). 80–80. 22 indexed citations
7.
Wang, Yu, Ben Liu, Jinyu Kong, et al.. (2020). SNP rs17079281 decreases lung cancer risk through creating an YY1-binding site to suppress DCBLD1 expression. Oncogene. 39(20). 4092–4102. 38 indexed citations
8.
Wang, Jian, et al.. (2020). Circular RNA Hsa_circ_0066755 as an Oncogene via sponging miR-651 and as a Promising Diagnostic Biomarker for Nasopharyngeal Carcinoma. International Journal of Medical Sciences. 17(11). 1499–1507. 22 indexed citations
9.
Yuan, Xiang, Kuisheng Chen, Fuyou Zhou, et al.. (2020). Clinical significance and prognostic value of Porphyromonas gingivalis infection in lung cancer. Translational Oncology. 14(1). 100972–100972. 40 indexed citations
10.
Hu, Xiaochen, Yiwen Liu, Jinyu Kong, et al.. (2020). The anti-B7-H4 checkpoint synergizes trastuzumab treatment to promote phagocytosis and eradicate breast cancer. Neoplasia. 22(11). 539–553. 15 indexed citations
11.
Yuan, Xiang, Yiwen Liu, Guifang Li, et al.. (2019). Blockade of Immune-Checkpoint B7-H4 and Lysine Demethylase 5B in Esophageal Squamous Cell Carcinoma Confers Protective Immunity against P. gingivalis Infection. Cancer Immunology Research. 7(9). 1440–1456. 29 indexed citations
13.
Kong, Jinyu, Xiaojie Chen, Jian Wang, et al.. (2019). Genetic Polymorphisms in the Vitamin D Pathway and Non-small Cell Lung Cancer Survival. Pathology & Oncology Research. 26(3). 1709–1715. 15 indexed citations
15.
Yuan, Xiang, Yiwen Liu, Jinyu Kong, et al.. (2017). Different frequencies of Porphyromonas gingivalis infection in cancers of the upper digestive tract. Cancer Letters. 404. 1–7. 61 indexed citations
16.
Yuan, Xiang, Jinyu Kong, Zhikun Ma, et al.. (2016). KDM4C, a H3K9me3 Histone Demethylase, is Involved in the Maintenance of Human ESCC-Initiating Cells by Epigenetically Enhancing SOX2 Expression. Neoplasia. 18(10). 594–609. 21 indexed citations
17.
Xu, Fangxiu, et al.. (2015). DNA Repair Gene Polymorphisms in Relation to Non-Small Cell Lung Cancer Survival. Cellular Physiology and Biochemistry. 36(4). 1419–1429. 20 indexed citations
18.
Chen, Xiaojie, Jinyu Kong, Zhikun Ma, Shegan Gao, & Xiaoshan Feng. (2015). Up regulation of the long non-coding RNA NEAT1 promotes esophageal squamous cell carcinoma cell progression and correlates with poor prognosis.. PubMed. 5(9). 2808–15. 101 indexed citations
19.
Xu, Fangxiu, et al.. (2014). Prognostic Implications for High Expression of MiR-25 in Lung Adenocarcinomas of Female Non-smokers. Asian Pacific Journal of Cancer Prevention. 15(3). 1197–1203. 29 indexed citations
20.
Zhang, Huan, et al.. (2013). Circulating MicroRNAs in Relation to EGFR Status and Survival of Lung Adenocarcinoma in Female Non-Smokers. PLoS ONE. 8(11). e81408–e81408. 41 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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