Guofang Xue

1.2k total citations · 1 hit paper
24 papers, 856 citations indexed

About

Guofang Xue is a scholar working on Cellular and Molecular Neuroscience, Neurology and Neurology. According to data from OpenAlex, Guofang Xue has authored 24 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 7 papers in Neurology and 7 papers in Neurology. Recurrent topics in Guofang Xue's work include Parkinson's Disease Mechanisms and Treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Diabetes Treatment and Management (7 papers). Guofang Xue is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Diabetes Treatment and Management (7 papers). Guofang Xue collaborates with scholars based in China, United Kingdom and Canada. Guofang Xue's co-authors include Christian Hölscher, Dongfang Li, Guanglai Li, Peng Feng, Shuo Li, Chenhui Ji, Ziyue Yuan, Lin Li, Lin Li and Jun‐Li Cao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain Research.

In The Last Decade

Guofang Xue

24 papers receiving 842 citations

Hit Papers

The role of neuroinflamma... 2024 2026 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guofang Xue China 14 345 272 257 209 173 24 856
Peng Feng China 12 316 0.9× 213 0.8× 213 0.8× 179 0.9× 123 0.7× 23 642
Luca Zampedri United Kingdom 6 298 0.9× 285 1.0× 248 1.0× 448 2.1× 140 0.8× 10 836
Natalia Budnik United Kingdom 4 298 0.9× 237 0.9× 188 0.7× 406 1.9× 135 0.8× 5 732
Lesya Novikova United States 16 186 0.5× 99 0.4× 213 0.8× 123 0.6× 147 0.8× 34 675
Lærke Egefjord Denmark 10 370 1.1× 135 0.5× 191 0.7× 63 0.3× 331 1.9× 10 834
Sang Su Oh United States 14 84 0.2× 201 0.7× 371 1.4× 235 1.1× 342 2.0× 17 949
Moritz M. Hettich Germany 11 101 0.3× 120 0.4× 384 1.5× 101 0.5× 325 1.9× 12 777
Bindu Pillai United States 22 97 0.3× 226 0.8× 523 2.0× 87 0.4× 162 0.9× 38 1.3k
Judyta K. Juranek Poland 17 146 0.4× 128 0.5× 321 1.2× 269 1.3× 306 1.8× 43 1.1k
Mikiko Kamijo Japan 18 198 0.6× 503 1.8× 219 0.9× 538 2.6× 695 4.0× 31 1.4k

Countries citing papers authored by Guofang Xue

Since Specialization
Citations

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

Fields of papers citing papers by Guofang Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guofang Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Guofang Xue. A scholar is included among the top collaborators of Guofang Xue 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 Guofang Xue. Guofang Xue 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.
Feng, Peng, Donglai Lv, Weidong Hao, et al.. (2025). The novel GLP-1 / GIP dual agonist DA3-CH is more effective than liraglutide in the MPTP mouse model of Parkinson's disease. European Journal of Pharmacology. 1003. 177972–177972. 1 indexed citations
2.
Zhang, Xiaomin, Bo Bai, Peng Feng, et al.. (2025). The GLP-1 receptor agonist liraglutide inhibits necroptosis and neuroinflammation in a mouse model of Parkinson’s disease with diabetes co-morbidity. Frontiers in Neuroscience. 19. 1596506–1596506. 3 indexed citations
3.
Zhang, Xiuping, et al.. (2025). Knowledge, attitudes, and practices of epilepsy patients regarding the ketogenic diet therapy: A cross‐sectional study. Epilepsia Open. 10(3). 866–879. 1 indexed citations
4.
Li, Shuo, et al.. (2024). The role of neuroinflammation in neurodegenerative diseases: current understanding and future therapeutic targets. Frontiers in Aging Neuroscience. 16. 1347987–1347987. 192 indexed citations breakdown →
5.
Li, Shuo, et al.. (2024). (+)-Borneol inhibits neuroinflammation and M1 phenotype polarization of microglia in epileptogenesis through the TLR4-NFκB signaling pathway. Frontiers in Neuroscience. 18. 1497102–1497102. 2 indexed citations
7.
Chen, Rui, et al.. (2023). (+)-Borneol exerts neuroprotective effects via suppressing the NF-κB pathway in the pilocarpine-induced epileptogenesis rat model. Brain Research. 1810. 148382–148382. 7 indexed citations
8.
Chen, Rui, et al.. (2023). Epilepsy in Asian countries. SHILAP Revista de lepidopterología. 5(1). 25–25. 3 indexed citations
9.
Xue, Guofang, et al.. (2023). Association between kidney measurements and cognitive performance in patients with ischemic stroke. PLoS ONE. 18(12). e0292506–e0292506. 3 indexed citations
10.
Chen, Rui, Guofang Xue, & Christian Hölscher. (2021). The role of the TNFα-mediated astrocyte signaling pathway in epilepsy. SHILAP Revista de lepidopterología. 3(1). 15 indexed citations
12.
Cheng, Hui-Feng, et al.. (2020). Amifostine ameliorates cerebral ischaemia-reperfusion injuryvia p38-mediated oxidative stress and mitochondrial dysfunction. Folia Neuropathologica. 58(4). 334–346. 8 indexed citations
13.
Bai, Bo, Dongfang Li, Guofang Xue, et al.. (2020). The novel GLP-1/GIP dual agonist DA3-CH is more effective than liraglutide in reducing endoplasmic reticulum stress in diabetic rats with cerebral ischemia-reperfusion injury. Nutrition Metabolism and Cardiovascular Diseases. 31(1). 333–343. 17 indexed citations
14.
Wang, Ruifang, et al.. (2019). The novel GLP-1/GIP dual receptor agonist DA3-CH is neuroprotective in the pilocarpine-induced epileptogenesis rat model. Epilepsy Research. 154. 97–106. 16 indexed citations
15.
16.
Feng, Peng, Xiangjian Zhang, Dongfang Li, et al.. (2018). Two novel dual GLP-1/GIP receptor agonists are neuroprotective in the MPTP mouse model of Parkinson's disease. Neuropharmacology. 133. 385–394. 93 indexed citations
17.
Yuan, Ziyue, Dongfang Li, Peng Feng, et al.. (2017). A novel GLP-1/GIP dual agonist is more effective than liraglutide in reducing inflammation and enhancing GDNF release in the MPTP mouse model of Parkinson's disease. European Journal of Pharmacology. 812. 82–90. 88 indexed citations
18.
Cao, Jun‐Li, Dongfang Li, Peng Feng, et al.. (2016). A novel dual GLP-1 and GIP incretin receptor agonist is neuroprotective in a mouse model of Parkinson’s disease by reducing chronic inflammation in the brain. Neuroreport. 27(6). 384–391. 79 indexed citations
19.
Han, Ling, Christian Hölscher, Guofang Xue, Guanglai Li, & Dongfang Li. (2015). A novel dual-glucagon-like peptide-1 and glucose-dependent insulinotropic polypeptide receptor agonist is neuroprotective in transient focal cerebral ischemia in the rat. Neuroreport. 27(1). 23–32. 39 indexed citations
20.
Ji, Chenhui, Guofang Xue, Peng Feng, et al.. (2015). A novel dual GLP-1 and GIP receptor agonist is neuroprotective in the MPTP mouse model of Parkinson′s disease by increasing expression of BNDF. Brain Research. 1634. 1–11. 89 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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