Renyi Kong

659 total citations
11 papers, 494 citations indexed

About

Renyi Kong is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Renyi Kong has authored 11 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Pathology and Forensic Medicine and 5 papers in Neurology. Recurrent topics in Renyi Kong's work include Spinal Cord Injury Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Signaling Pathways in Disease (2 papers). Renyi Kong is often cited by papers focused on Spinal Cord Injury Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Signaling Pathways in Disease (2 papers). Renyi Kong collaborates with scholars based in China. Renyi Kong's co-authors include Hongtao Chen, Xiaojian Cao, Erbao Zhang, Ming Sun, Lijuan Xu, Zhanyang Qian, Xiang-hua Liu, Zixuan Wang, JS Yang and Ran Xia and has published in prestigious journals such as Life Sciences, Cell Death and Disease and Stem Cell Research & Therapy.

In The Last Decade

Renyi Kong

11 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renyi Kong China 10 310 242 68 62 48 11 494
Shengnai Zheng China 13 339 1.1× 277 1.1× 44 0.6× 119 1.9× 40 0.8× 27 585
Nicholas K. Kawasaki United States 7 285 0.9× 147 0.6× 38 0.6× 49 0.8× 60 1.3× 7 533
Aijun Ma China 17 429 1.4× 317 1.3× 42 0.6× 15 0.2× 32 0.7× 33 678
Fengshou Chen China 15 414 1.3× 331 1.4× 89 1.3× 109 1.8× 47 1.0× 29 673
Guangfu Di China 14 289 0.9× 163 0.7× 31 0.5× 13 0.2× 48 1.0× 34 490
Hualin Yu China 11 145 0.5× 93 0.4× 41 0.6× 33 0.5× 22 0.5× 21 369
Chunlei Zhang China 13 164 0.5× 78 0.3× 24 0.4× 61 1.0× 43 0.9× 21 443
Miho Otani Japan 6 268 0.9× 120 0.5× 55 0.8× 26 0.4× 37 0.8× 10 462
Yilin Pang China 10 243 0.8× 161 0.7× 35 0.5× 130 2.1× 55 1.1× 22 479

Countries citing papers authored by Renyi Kong

Since Specialization
Citations

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

Fields of papers citing papers by Renyi Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renyi Kong

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

All Works

11 of 11 papers shown
1.
Chang, Jie, Zhanyang Qian, Binyu Wang, et al.. (2023). Transplantation of A2 type astrocytes promotes neural repair and remyelination after spinal cord injury. Cell Communication and Signaling. 21(1). 37–37. 56 indexed citations
2.
Qian, Zhanyang, Hongtao Chen, Mingjie Xia, et al.. (2022). Activation of glucagon-like peptide-1 receptor in microglia attenuates neuroinflammation-induced glial scarring via rescuing Arf and Rho GAP adapter protein 3 expressions after nerve injury. International Journal of Biological Sciences. 18(4). 1328–1346. 44 indexed citations
3.
4.
Jiang, Shuai, Suhui Ye, Renyi Kong, et al.. (2021). Silencing TAK1 reduces MAPKs-MMP2/9 expression to reduce inflammation-driven neurohistological disruption post spinal cord injury. Cell Death Discovery. 7(1). 96–96. 16 indexed citations
5.
Jiang, Fan, Jiang Cao, Renyi Kong, et al.. (2021). MICAL2 regulates myofibroblasts differentiation in epidural fibrosis via SRF/MRTF-A signaling pathway. Life Sciences. 269. 119045–119045. 8 indexed citations
6.
7.
Li, Haibo, Renyi Kong, Bowen Wan, et al.. (2020). Initiation of PI3K/AKT pathway by IGF-1 decreases spinal cord injury-induced endothelial apoptosis and microvascular damage. Life Sciences. 263. 118572–118572. 29 indexed citations
8.
Zhang, Sheng, Hongtao Chen, Wanshun Liu, et al.. (2020). miR-766-3p Targeting BCL9L Suppressed Tumorigenesis, Epithelial-Mesenchymal Transition, and Metastasis Through the β-Catenin Signaling Pathway in Osteosarcoma Cells. Frontiers in Cell and Developmental Biology. 8. 594135–594135. 14 indexed citations
9.
Hong, Xin, Fan Jiang, You Li, et al.. (2020). Treatment with 5-methoxytryptophan attenuates microglia-induced neuroinflammation in spinal cord trauma. International Immunopharmacology. 88. 106988–106988. 13 indexed citations
10.
Zou, Haiyan, et al.. (2016). Activation of p38-mitogen-activated protein kinase contributes to ischemia reperfusion in rat brain. Genetics and Molecular Research. 15(3). 11 indexed citations
11.
Sun, Ming, Xiang-hua Liu, Ran Xia, et al.. (2014). EZH2-mediated epigenetic suppression of long noncoding RNA SPRY4-IT1 promote s NSCLC cell proliferation and metastasis by affecting the epithelial–mesenchymal transition. Cell Death and Disease. 5(6). e1298–e1298. 212 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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