Kai Gong

902 total citations
24 papers, 715 citations indexed

About

Kai Gong is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Kai Gong has authored 24 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Physiology. Recurrent topics in Kai Gong's work include Cancer-related gene regulation (5 papers), Bone Metabolism and Diseases (5 papers) and Alzheimer's disease research and treatments (4 papers). Kai Gong is often cited by papers focused on Cancer-related gene regulation (5 papers), Bone Metabolism and Diseases (5 papers) and Alzheimer's disease research and treatments (4 papers). Kai Gong collaborates with scholars based in China, Netherlands and United States. Kai Gong's co-authors include Yandao Gong, Qiang Ao, Xiufang Zhang, Tuo Ma, Yufang Yan, Gan Wang, Bo Song, Fangfang Zhou, Long Zhang and Xian‐Ming Pan and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Frontiers in Immunology.

In The Last Decade

Kai Gong

22 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Gong China 16 368 161 151 138 134 24 715
Qu Xing China 12 275 0.7× 107 0.7× 115 0.8× 117 0.8× 151 1.1× 16 693
Yong Wan China 16 238 0.6× 222 1.4× 140 0.9× 66 0.5× 93 0.7× 38 774
Mi‐Sook Chang South Korea 18 413 1.1× 257 1.6× 107 0.7× 60 0.4× 209 1.6× 39 922
Lingxiao Deng United States 19 312 0.8× 357 2.2× 148 1.0× 65 0.5× 161 1.2× 42 939
Javorina Milošević Germany 17 372 1.0× 197 1.2× 260 1.7× 58 0.4× 89 0.7× 26 767
Gaskon Ibarretxe Spain 19 447 1.2× 212 1.3× 119 0.8× 63 0.5× 317 2.4× 40 1.0k
Il-Shin Lee South Korea 11 277 0.8× 248 1.5× 276 1.8× 144 1.0× 157 1.2× 12 675
Javiera Bravo‐Alegria United States 12 463 1.3× 95 0.6× 115 0.8× 176 1.3× 317 2.4× 16 948
Lisa M. McGinley United States 10 244 0.7× 113 0.7× 120 0.8× 111 0.8× 155 1.2× 15 490
Xiangbing Wu United States 13 515 1.4× 287 1.8× 217 1.4× 62 0.4× 53 0.4× 27 974

Countries citing papers authored by Kai Gong

Since Specialization
Citations

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

Fields of papers citing papers by Kai Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Gong. A scholar is included among the top collaborators of Kai Gong 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 Kai Gong. Kai Gong 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.
Ji, Rong, Kai Gong, Lihong Huang, Wenxian Yang, & Rongshan Yu. (2024). Leveraging LLMs for Automated Analysis of Biomedical Data. 67–71.
2.
Chen, Yuhua, Junhui Chen, Wei Hong, et al.. (2023). Akkermansia muciniphila-Nlrp3 is involved in the neuroprotection of phosphoglycerate mutase 5 deficiency in traumatic brain injury mice. Frontiers in Immunology. 14. 1172710–1172710. 15 indexed citations
3.
Gong, Kai, et al.. (2023). Unified ICH quantification and prognosis prediction in NCCT images using a multi-task interpretable network. Frontiers in Neuroscience. 17. 1118340–1118340. 8 indexed citations
4.
Chen, Yuhua, Kai Gong, Limin Guo, et al.. (2021). Downregulation of phosphoglycerate mutase 5 improves microglial inflammasome activation after traumatic brain injury. Cell Death Discovery. 7(1). 290–290. 23 indexed citations
5.
Gong, Kai, et al.. (2021). Comparing the inter-observer reliability of the Tada formula among neurosurgeons while estimating the intracerebral haematoma volume. Clinical Neurology and Neurosurgery. 205. 106668–106668. 1 indexed citations
6.
Gong, Kai, Yuhua Chen, Wei Liu, & Zhanxiang Wang. (2021). Global research trends of Apolipoprotein E in central nervous system: A scientometric analysis. International Immunopharmacology. 98. 107919–107919. 3 indexed citations
7.
Qu, Bo, Kai Gong, Hongsheng Yang, et al.. (2018). MiR-449 overexpression inhibits osteogenic differentiation of bone marrow mesenchymal stem cells via suppressing Sirt1/Fra-1 pathway in high glucose and free fatty acids microenvironment. Biochemical and Biophysical Research Communications. 496(1). 120–126. 15 indexed citations
8.
Qu, Bo, Kai Gong, Hongsheng Yang, et al.. (2018). SIRT1 suppresses high glucose and palmitate-induced osteoclast differentiation via deacetylating p66Shc. Molecular and Cellular Endocrinology. 474. 97–104. 39 indexed citations
9.
Muheremu, Aikeremujiang, et al.. (2017). Chitosan nerve conduits seeded with autologous bone marrow mononuclear cells for 30 mm goat peroneal nerve defect. Scientific Reports. 7(1). 44002–44002. 28 indexed citations
10.
11.
Gong, Kai, Bo Qu, Da Liu, et al.. (2016). MiR-132 regulates osteogenic differentiation via downregulating Sirtuin1 in a peroxisome proliferator-activated receptor β/δ–dependent manner. Biochemical and Biophysical Research Communications. 478(1). 260–267. 39 indexed citations
12.
Ji, Yuchen, Yujun Wei, Jianyong Wang, et al.. (2015). Decreased expression of microRNA-107 predicts poorer prognosis in glioma. Tumor Biology. 36(6). 4461–4466. 16 indexed citations
13.
14.
Gong, Yandao, Yufang Yan, Tuo Ma, et al.. (2014). Adipose-derived mesenchymal stem cell transplantation promotes adult neurogenesis in the brains of Alzheimer′s disease mice. Neural Regeneration Research. 9(8). 798–798. 97 indexed citations
15.
16.
Gong, Kai, Fangfang Zhou, Huizhe Huang, Yandao Gong, & Long Zhang. (2012). Suppression of GSK3β by ERK mediates lipopolysaccharide induced cell migration in macrophage through β-catenin signaling. Protein & Cell. 3(10). 762–768. 24 indexed citations
17.
Zhou, Fangfang, Kai Gong, Bo Song, et al.. (2012). The APP intracellular domain (AICD) inhibits Wnt signalling and promotes neurite outgrowth. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1823(8). 1233–1241. 44 indexed citations
18.
Wang, Gan, Qiang Ao, Kai Gong, et al.. (2010). The effect of topology of chitosan biomaterials on the differentiation and proliferation of neural stem cells. Acta Biomaterialia. 6(9). 3630–3639. 69 indexed citations
19.
Wang, Gan, Qiang Ao, Kai Gong, et al.. (2010). Synergistic Effect of Neural Stem Cells and Olfactory Ensheathing Cells on Repair of Adult Rat Spinal Cord Injury. Cell Transplantation. 19(10). 1325–1337. 58 indexed citations
20.
Zhou, Fangfang, Long Zhang, Kai Gong, et al.. (2007). LEF-1 activates the transcription of E2F1. Biochemical and Biophysical Research Communications. 365(1). 149–153. 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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