Gu Gong

1.5k total citations
42 papers, 1.3k citations indexed

About

Gu Gong is a scholar working on Physiology, Molecular Biology and Surgery. According to data from OpenAlex, Gu Gong has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 6 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Gu Gong's work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Biochemical effects in animals (4 papers) and Neurological Disease Mechanisms and Treatments (4 papers). Gu Gong is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (4 papers), Biochemical effects in animals (4 papers) and Neurological Disease Mechanisms and Treatments (4 papers). Gu Gong collaborates with scholars based in China, United States and Taiwan. Gu Gong's co-authors include Libang Yuan, Martin Chalfie, Hailong Dong, Liang Yin, Wei Wu, Yi Huang, Keliang Xie, Ling Hu, Guy A. Caldwell and Guolin Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Gu Gong

35 papers receiving 1.3k citations

Peers

Gu Gong
Jingqi Yan United States
Yushu Dong China
Pedro Cisternas Chile
Rajesh Amin United States
Woosuk Kim South Korea
Xiangdong Sun China
Byeong Tak Jeon South Korea
Sandeep Singh India
Ping Zhou China
Jingqi Yan United States
Gu Gong
Citations per year, relative to Gu Gong Gu Gong (= 1×) peers Jingqi Yan

Countries citing papers authored by Gu Gong

Since Specialization
Citations

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

Fields of papers citing papers by Gu Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gu Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Gu Gong. A scholar is included among the top collaborators of Gu 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 Gu Gong. Gu 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.
Gong, Gu, Xiaopeng Wang, Jiahua Zhang, et al.. (2025). MSFF: A Multi-Scale Feature Fusion Convolutional Neural Network for Hyperspectral Image Classification. Electronics. 14(4). 797–797. 3 indexed citations
2.
Gong, Gu, et al.. (2024). Research on AMCL Algorithm Coupled with DWA Algorithm in Logistics Scenarios. 453–458. 1 indexed citations
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Gong, Gu, et al.. (2024). Research on the Application of improved AMCL Algorithm in Robot Obstacle Avoidance in Logistics Sorting Scene. Journal of Physics Conference Series. 2841(1). 12007–12007.
6.
Gong, Gu, et al.. (2024). Cognitive Enhancement of Robot Path Planning and Environmental Perception Based on Gmapping Algorithm Optimization. Electronics. 13(5). 818–818. 1 indexed citations
7.
Ma, Tianyu, et al.. (2024). Exploring multi-scale damage mechanisms in 8Cr4Mo4V alloy by molecular dynamics simulations and experiments. Materials Today Communications. 41. 110862–110862.
8.
Huang, Meng, Gu Gong, Wenyong Long, et al.. (2023). Crosstalk between cancer cells and the nervous system. SHILAP Revista de lepidopterología. 1(3). 173–189. 18 indexed citations
9.
Yuan, Libang, et al.. (2023). USP18 overexpression protects against spinal cord ischemia/reperfusion injury via regulating autophagy. Neuroscience Letters. 810. 137359–137359. 9 indexed citations
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Lin, Rong, Dongjing Yan, Yunxia Zhang, et al.. (2016). Common variants in SIRT1 and human longevity in a Chinese population. BMC Medical Genetics. 17(1). 31–31. 17 indexed citations
12.
Gong, Gu, et al.. (2016). Spinal WNT pathway contributes to remifentanil induced hyperalgesia through regulating fractalkine and CX3CR1 in rats. Neuroscience Letters. 633. 21–27. 15 indexed citations
13.
Dong, Wenpeng, et al.. (2014). Humid heat exposure induced oxidative stress and apoptosis in cardiomyocytes through the angiotensin II signaling pathway. Heart and Vessels. 30(3). 396–405. 32 indexed citations
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Wang, Xiaowu, Keliang Xie, Yi Huang, et al.. (2013). Beneficial effects of hydrogen-rich saline against spinal cord ischemia-reperfusion injury in rabbits. Brain Research. 1517. 150–160. 43 indexed citations
16.
Wu, Wei, et al.. (2012). Association between IL-4 polymorphism and acute rejection of solid organ allograft: A meta-analysis. Gene. 513(1). 14–21. 5 indexed citations
17.
Xie, Keliang, Yonghao Yu, Yi Huang, et al.. (2012). Molecular Hydrogen Ameliorates Lipopolysaccharide-Induced Acute Lung Injury in Mice Through Reducing Inflammation and Apoptosis. Shock. 37(5). 548–555. 165 indexed citations
18.
Huang, Yi, Keliang Xie, Ning Xu, et al.. (2011). Beneficial effects of hydrogen gas against spinal cord ischemia–reperfusion injury in rabbits. Brain Research. 1378. 125–136. 83 indexed citations
19.
Gong, Gu. (2003). Effect of hyperoxia liquid on spinal cord injury induced by ischemia and reperfusion in rabbits. Di-Si Junyi Daxue xuebao.
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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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