Feng Kong

4.4k total citations
123 papers, 2.7k citations indexed

About

Feng Kong is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Feng Kong has authored 123 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 20 papers in Oncology and 19 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Feng Kong's work include Epigenetics and DNA Methylation (17 papers), Telomeres, Telomerase, and Senescence (10 papers) and Renal and related cancers (10 papers). Feng Kong is often cited by papers focused on Epigenetics and DNA Methylation (17 papers), Telomeres, Telomerase, and Senescence (10 papers) and Renal and related cancers (10 papers). Feng Kong collaborates with scholars based in China, United States and Sweden. Feng Kong's co-authors include Yun Luan, Dawei Xu, Chao Sun, Guanghui Cheng, Mingtan Hai, Xu Zhang, Kailin Li, Magnus Björkholm, Zhao‐Min Lin and Xiaotian Yuan and has published in prestigious journals such as Advanced Materials, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Feng Kong

119 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Kong China 32 1.4k 414 410 374 330 123 2.7k
Jawed A. Siddiqui United States 31 1.5k 1.1× 268 0.6× 353 0.9× 673 1.8× 236 0.7× 79 2.8k
Rezvan Najafi Iran 27 1.3k 0.9× 222 0.5× 680 1.7× 540 1.4× 209 0.6× 122 2.7k
Jian Yang China 33 2.0k 1.5× 449 1.1× 804 2.0× 315 0.8× 205 0.6× 122 3.2k
Mehryar Habibi Roudkenar Iran 30 1.3k 1.0× 438 1.1× 473 1.2× 204 0.5× 421 1.3× 147 2.9k
Liang Zhou China 28 1.7k 1.3× 363 0.9× 821 2.0× 615 1.6× 398 1.2× 166 3.0k
Bo Yu China 26 1.3k 0.9× 311 0.8× 606 1.5× 232 0.6× 255 0.8× 94 2.4k
Silvia Zappavigna Italy 35 1.7k 1.3× 366 0.9× 856 2.1× 805 2.2× 292 0.9× 100 3.6k
Çığır Biray Avcı Türkiye 29 1.5k 1.1× 298 0.7× 769 1.9× 503 1.3× 236 0.7× 169 3.0k
Ji‐Young Lee South Korea 26 1.1k 0.8× 172 0.4× 422 1.0× 243 0.6× 216 0.7× 79 2.8k

Countries citing papers authored by Feng Kong

Since Specialization
Citations

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

Fields of papers citing papers by Feng Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Kong. A scholar is included among the top collaborators of Feng 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 Feng Kong. Feng 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.
Kong, Feng, et al.. (2024). Ontogenic stage-associated SA response contributes to leaf age-dependent resistance in Arabidopsis and cotton. Frontiers in Plant Science. 15. 1398770–1398770. 1 indexed citations
2.
Yang, Wei, Jianwen Li, Fangchao Jiang, et al.. (2024). Calcium nanoparticles target and activate T cells to enhance anti-tumor function. Nature Communications. 15(1). 10095–10095. 8 indexed citations
3.
Zhang, Denglu, Shuai Liu, Huihui Jiang, Shuang‐De Liu, & Feng Kong. (2024). DIA proteomics analysis reveals the mechanism of folic acid-induced acute kidney injury and the effects of icariin. Chemico-Biological Interactions. 390. 110878–110878. 6 indexed citations
4.
Qi, Peng, et al.. (2023). Distinct function of SPL genes in age-related resistance in Arabidopsis. PLoS Pathogens. 19(3). e1011218–e1011218. 13 indexed citations
5.
Kong, Feng & Li Yang. (2023). Pathogen-triggered changes in plant development: Virulence strategies or host defense mechanism?. Frontiers in Microbiology. 14. 1122947–1122947. 11 indexed citations
6.
Lu, Xukun, Yu Zhang, Lijuan Wang, et al.. (2021). Evolutionary epigenomic analyses in mammalian early embryos reveal species-specific innovations and conserved principles of imprinting. Science Advances. 7(48). eabi6178–eabi6178. 52 indexed citations
7.
Zheng, Xiao‐Tong, et al.. (2019). Regulation of KDM2B and Brg1 on Inflammatory Response of Nasal Mucosa in CRSwNP. Inflammation. 42(4). 1389–1400. 11 indexed citations
8.
Liu, Yong, Fengrui Wu, Ling Zhang, et al.. (2018). Transcriptional defects and reprogramming barriers in somatic cell nuclear reprogramming as revealed by single-embryo RNA sequencing. BMC Genomics. 19(1). 734–734. 23 indexed citations
9.
Yang, Xin, Feng Kong, Tingwei Guo, et al.. (2018). A novel receptor‐like kinase involved in fungal pathogen defence in Arabidopsis thaliana. Journal of Phytopathology. 166(7-8). 506–515. 2 indexed citations
10.
Liu, Yong, Bing Qi, Juan Xie, et al.. (2018). Filtered reproductive long non-coding RNAs by genome-wide analyses of goat ovary at different estrus periods. BMC Genomics. 19(1). 866–866. 21 indexed citations
11.
Zhang, Denglu, Kailin Li, Chao Sun, et al.. (2018). Anti-Cancer Effects of Paris Polyphylla Ethanol Extract by Inducing Cancer Cell Apoptosis and Cycle Arrest in Prostate Cancer Cells. Current Urology. 11(3). 144–150. 17 indexed citations
12.
Yu, Jingya, Xiaotian Yuan, Louise K. Sjöholm, et al.. (2018). Telomerase reverse transcriptase regulates DNMT3B expression/aberrant DNA methylation phenotype and AKT activation in hepatocellular carcinoma. Cancer Letters. 434. 33–41. 47 indexed citations
13.
Zhang, Zhaohua, Yanyan Pan, Yun Luan, et al.. (2016). Protective effects of BMSCs in combination with erythropoietin in bronchopulmonary dysplasia-induced lung injury. Molecular Medicine Reports. 14(2). 1302–1308. 14 indexed citations
14.
Zhang, Xiang, Juchao Ren, Lei Yan, et al.. (2015). Cytoplasmic Expression of Pontin in Renal Cell Carcinoma Correlates with Tumor Invasion, Metastasis and Patients’ Survival. PLoS ONE. 10(3). e0118659–e0118659. 21 indexed citations
15.
Li, Ping, Tiantian Liu, Qing Zhang, et al.. (2014). Promoter Polymorphism in the Serotonin Transporter (5-HTT) Gene Is Significantly Associated with Leukocyte Telomere Length in Han Chinese. PLoS ONE. 9(4). e94442–e94442. 5 indexed citations
16.
Miao, Xinyan, Yun Luan, L.Q. Zhu, et al.. (2014). PAR1‐stimulated platelet releasate promotes angiogenic activities of endothelial progenitor cells more potently than PAR4‐stimulated platelet releasate. Journal of Thrombosis and Haemostasis. 13(3). 465–476. 28 indexed citations
17.
Luan, Yun, et al.. (2012). Mesenchymal stem cell prevention of vascular remodeling in high flow-induced pulmonary hypertension through a paracrine mechanism. International Immunopharmacology. 14(4). 432–437. 35 indexed citations
18.
Wang, Xiaoling, Feng Kong, Tao Shen, et al.. (2011). Sesquiterpenoids from myrrh inhibit androgen receptor expression and function in human prostate cancer cells. Acta Pharmacologica Sinica. 32(3). 338–344. 20 indexed citations
19.
Cui, Kai, Guihua Hou, Ting Liang, et al.. (2011). The potential role of preventing atherosclerosis by induction of neonatal tolerance to VLDL. Cellular Immunology. 272(2). 290–292. 4 indexed citations
20.
Zhang, Jing, et al.. (2009). Ginsenoside Rg3 promotes beta-amyloid peptide degradation by enhancing gene expression of neprilysin. Journal of Pharmacy and Pharmacology. 61(3). 375–380. 25 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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