Fang Gao

2.1k total citations
97 papers, 1.6k citations indexed

About

Fang Gao is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Fang Gao has authored 97 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 19 papers in Surgery and 13 papers in Physiology. Recurrent topics in Fang Gao's work include Anesthesia and Neurotoxicity Research (8 papers), Diabetic Foot Ulcer Assessment and Management (8 papers) and Spaceflight effects on biology (7 papers). Fang Gao is often cited by papers focused on Anesthesia and Neurotoxicity Research (8 papers), Diabetic Foot Ulcer Assessment and Management (8 papers) and Spaceflight effects on biology (7 papers). Fang Gao collaborates with scholars based in China, United States and Canada. Fang Gao's co-authors include Yaoming Xue, Min Zheng, Hua Han, Ying Cao, Qijian Yi, Ruixi Liu, Shulong Wang, Xiangrong Luo, Meiping Guan and Yibin Hou and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Fang Gao

90 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang Gao China 24 588 226 218 203 179 97 1.6k
Li Sun China 27 555 0.9× 293 1.3× 181 0.8× 133 0.7× 175 1.0× 105 2.3k
Hyun Ah Kim South Korea 30 866 1.5× 217 1.0× 167 0.8× 132 0.7× 140 0.8× 82 2.5k
Jiqiang Zhang China 29 670 1.1× 152 0.7× 292 1.3× 266 1.3× 352 2.0× 124 2.2k
Munehisa Shimamura Japan 31 957 1.6× 345 1.5× 333 1.5× 185 0.9× 142 0.8× 97 2.6k
Zhou Fei China 31 1.1k 1.9× 329 1.5× 270 1.2× 171 0.8× 139 0.8× 127 2.7k
Chung-Lan Kao Taiwan 31 856 1.5× 474 2.1× 253 1.2× 137 0.7× 102 0.6× 74 2.6k
Weiping Liu China 26 892 1.5× 163 0.7× 326 1.5× 377 1.9× 312 1.7× 119 2.2k
Sajjad Muhammad Germany 27 857 1.5× 482 2.1× 185 0.8× 217 1.1× 164 0.9× 139 3.2k
Wei Cai China 26 868 1.5× 300 1.3× 159 0.7× 184 0.9× 46 0.3× 70 2.9k

Countries citing papers authored by Fang Gao

Since Specialization
Citations

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

Fields of papers citing papers by Fang Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Gao. A scholar is included among the top collaborators of Fang Gao 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 Fang Gao. Fang Gao 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.
Bi, X. J., S. L. Lai, Yuan Dong, et al.. (2025). An Amygdala‐hippocampus Circuit for Endocannabinoid Modulation of Anxiety Avoidance. Advanced Science. 12(34). e05121–e05121.
2.
Gao, Fang, et al.. (2024). New recognition of the heart–brain axis and its implication in the pathogenesis and treatment of PTSD. European Journal of Neuroscience. 60(4). 4661–4683. 4 indexed citations
3.
Wen, Xin, et al.. (2023). Subject-Independent EEG Classification of Motor Imagery Based on Dual-Branch Feature Fusion. Brain Sciences. 13(7). 1109–1109. 6 indexed citations
4.
Xi, Bao, et al.. (2023). Arelative position descriptor for multi-agent reinforcement learning. 5506–5510. 1 indexed citations
5.
Liu, Xiaoqing, Fang Gao, Yaru Wang, et al.. (2023). Exploring the cellulolytic and hemicellulolytic activities of manganese peroxidase for lignocellulose deconstruction. SHILAP Revista de lepidopterología. 16(1). 139–139. 5 indexed citations
6.
Liu, Xiaoqing, Fang Gao, Yaru Wang, et al.. (2023). Characterization of a novel thermostable α-l-arabinofuranosidase for improved synergistic effect with xylanase on lignocellulosic biomass hydrolysis without prior pretreatment. Bioresource Technology. 394. 130177–130177. 8 indexed citations
7.
Li, Shuxian, Jiali Huang, Xiangrong Luo, et al.. (2023). Gram-Negative Bacteria and Lipopolysaccharides as Risk Factors for the Occurrence of Diabetic Foot. The Journal of Clinical Endocrinology & Metabolism. 108(10). 2604–2614. 5 indexed citations
8.
Zhang, Bing, Xuedong Liu, Ya Mei Bai, et al.. (2022). High-Frequency Repetitive Transcranial Magnetic Stimulation Regulates Astrocyte Activation by Modulating the Endocannabinoid System in Parkinson’s Disease. Molecular Neurobiology. 59(8). 5121–5134. 9 indexed citations
9.
Song, Changgeng, Fang Yang, Jiajia Zhang, et al.. (2021). Endocannabinoid system in the neurodevelopment of GABAergic interneurons: implications for neurological and psychiatric disorders. Reviews in the Neurosciences. 32(8). 803–831. 6 indexed citations
10.
Cui, Mengzhao, Xiaokun Gang, Fang Gao, et al.. (2020). Risk Assessment of Sarcopenia in Patients With Type 2 Diabetes Mellitus Using Data Mining Methods. Frontiers in Endocrinology. 11. 123–123. 18 indexed citations
11.
Gao, Fang, Si Chen, Mingqiang Li, & Bincheng Huang. (2019). MaCA: a Multi-agent Reinforcement Learning Platform for Collective Intelligence. 108–111. 5 indexed citations
12.
Wang, Ying, Ning Gu, Tingting Duan, et al.. (2016). Monoacylglycerol lipase inhibitors produce pro- or antidepressant responses via hippocampal CA1 GABAergic synapses. Molecular Psychiatry. 22(2). 215–226. 49 indexed citations
13.
Lü, Ying, Ju Li, Jia Wang, et al.. (2015). Glial cell line-derived neurotrophic factor induced the differentiation of amniotic fluid-derived stem cells into vascular endothelial-like cells in vitro. Journal of Molecular Histology. 47(1). 9–19. 15 indexed citations
14.
Zhang, Yongfeng, et al.. (2015). Value of human brain natriuretic peptide in treatment of acute anterior myocardial infarction evaluated via three-dimensional speckle tracking imaging. Genetics and Molecular Research. 14(2). 5699–5709. 1 indexed citations
15.
Guan, Meiping, et al.. (2014). Circulating levels of miR-146a and IL-17 are significantly correlated with the clinical activity of Graves’ ophthalmopathy. Endocrine Journal. 61(11). 1087–1092. 55 indexed citations
16.
Nie, Huang, Zhengwu Peng, Huaning Wang, et al.. (2014). Rosmarinic acid ameliorates PTSD-like symptoms in a rat model and promotes cell proliferation in the hippocampus. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 51. 16–22. 45 indexed citations
17.
18.
Gao, Fang, Jie Bao, Jiao Huang, et al.. (2009). Regional specificity of adaptation change in large elastic arteries of simulated microgravity rats. Acta Physiologica Hungarica. 96(2). 167–187. 14 indexed citations
19.
Li, Jun, et al.. (2009). Coexpression and characterization of the human large-conductance Ca2+-activated K+ channel α + β1 subunits in HEK293 cells. Molecular and Cellular Biochemistry. 331(1-2). 117–126. 5 indexed citations
20.
Gao, Fang, et al.. (1997). Effect of total alkaloid ofPeganum harmala L. in the treatment of experimental haemosporidian infections in cattle. Tropical Animal Health and Production. 29(S4). 77S–83S. 18 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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