Yuning Che

558 total citations
8 papers, 471 citations indexed

About

Yuning Che is a scholar working on Neurology, Neurology and Physiology. According to data from OpenAlex, Yuning Che has authored 8 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 4 papers in Neurology and 3 papers in Physiology. Recurrent topics in Yuning Che's work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Adenosine and Purinergic Signaling (3 papers). Yuning Che is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Adenosine and Purinergic Signaling (3 papers). Yuning Che collaborates with scholars based in China and United States. Yuning Che's co-authors include Liyan Hou, Qingshan Wang, Fuqiang Sun, Dan Zhang, Cong Zhang, Hui‐Hua Li, Xiaofang Liu, Ke Wang, Xiulan Zhao and Fengyuan Piao and has published in prestigious journals such as Cell Death and Disease, Toxicology and Redox Biology.

In The Last Decade

Yuning Che

8 papers receiving 470 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuning Che China	7	243	155	123	115	92	8	471
Xiaodi Tian China	11	169 0.7×	237 1.5×	82 0.7×	234 2.0×	37 0.4×	14	613
Emir Malovic United States	9	218 0.9×	152 1.0×	99 0.8×	308 2.7×	70 0.8×	20	656
Yinyi Sun China	10	215 0.9×	106 0.7×	86 0.7×	228 2.0×	62 0.7×	12	638
Tiziana Petrozziello Italy	14	108 0.4×	116 0.7×	96 0.8×	181 1.6×	122 1.3×	25	511
Hariharan Saminathan United States	8	173 0.7×	158 1.0×	99 0.8×	242 2.1×	142 1.5×	11	500
Jeha Jeon South Korea	10	133 0.5×	61 0.4×	101 0.8×	267 2.3×	138 1.5×	12	531
Arianna Tucci United Kingdom	15	134 0.6×	247 1.6×	149 1.2×	309 2.7×	174 1.9×	27	734
Dhruba Pathak United States	9	123 0.5×	44 0.3×	112 0.9×	303 2.6×	109 1.2×	17	562
Loredana Leggio Italy	13	91 0.4×	121 0.8×	68 0.6×	403 3.5×	118 1.3×	23	669
Aanishaa Jhaldiyal United States	6	140 0.6×	143 0.9×	122 1.0×	191 1.7×	100 1.1×	6	437

Countries citing papers authored by Yuning Che

Since Specialization

Citations

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

Fields of papers citing papers by Yuning Che

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuning Che

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Hou, Liyan, Yuning Che, Fuqiang Sun, & Qingshan Wang. (2021). Correction to: Taurine protects noradrenergic locus coeruleus neurons in a mouse Parkinson’s disease model by inhibiting microglial M1 polarization. Amino Acids. 53(2). 321–322. 1 indexed citations

2.

Che, Yuning, Liyan Hou, Fuqiang Sun, et al.. (2018). Taurine protects dopaminergic neurons in a mouse Parkinson’s disease model through inhibition of microglial M1 polarization. Cell Death and Disease. 9(4). 435–435. 124 indexed citations

3.

Zhang, Cong, Liyan Hou, Jie Yang, et al.. (2018). 2,5-Hexanedione induces dopaminergic neurodegeneration through integrin αMβ2/NADPH oxidase axis-mediated microglial activation. Cell Death and Disease. 9(2). 60–60. 26 indexed citations

4.

Hou, Liyan, Yuning Che, Fuqiang Sun, & Qingshan Wang. (2018). Taurine protects noradrenergic locus coeruleus neurons in a mouse Parkinson’s disease model by inhibiting microglial M1 polarization. Amino Acids. 50(5). 547–556. 44 indexed citations

5.

Hou, Liyan, Xueying Zhou, Cong Zhang, et al.. (2017). NADPH oxidase-derived H2O2 mediates the regulatory effects of microglia on astrogliosis in experimental models of Parkinson's disease. Redox Biology. 12. 162–170. 55 indexed citations

6.

Hou, Liyan, Xiu‐Qi Bao, Caixia Zang, et al.. (2017). Integrin CD11b mediates α-synuclein-induced activation of NADPH oxidase through a Rho-dependent pathway. Redox Biology. 14. 600–608. 84 indexed citations

7.

Hou, Liyan, Ke Wang, Cong Zhang, et al.. (2017). Complement receptor 3 mediates NADPH oxidase activation and dopaminergic neurodegeneration through a Src-Erk-dependent pathway. Redox Biology. 14. 250–260. 90 indexed citations

8.

Hou, Liyan, Cong Zhang, Ke Wang, et al.. (2017). Paraquat and maneb co-exposure induces noradrenergic locus coeruleus neurodegeneration through NADPH oxidase-mediated microglial activation. Toxicology. 380. 1–10. 47 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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