Yunna Li

31 total papers · 662 total citations
21 papers, 472 citations indexed

About

Yunna Li is a scholar working on Neurology, Neurology and Molecular Biology. According to data from OpenAlex, Yunna Li has authored 21 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 5 papers in Neurology and 3 papers in Molecular Biology. Recurrent topics in Yunna Li's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Molten salt chemistry and electrochemical processes (3 papers). Yunna Li is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Molten salt chemistry and electrochemical processes (3 papers). Yunna Li collaborates with scholars based in China and Canada. Yunna Li's co-authors include Fang Wan, Sijia Yin, Yadi Sun, Liang Kou, Junjie Hu, Nian Xiong, Yun Xia, Jiawei Wu, Jinsha Huang and Tao Wang and has published in prestigious journals such as Brain, The Science of The Total Environment and International Journal of Molecular Sciences.

In The Last Decade

Yunna Li

19 papers receiving 467 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yunna Li 156 152 149 76 64 21 472
Jiayong Wu 92 0.6× 175 1.2× 66 0.4× 53 0.7× 141 2.2× 22 455
Yichen Huang 211 1.4× 150 1.0× 73 0.5× 56 0.7× 43 0.7× 27 534
Olga Bragina 94 0.6× 105 0.7× 97 0.7× 63 0.8× 101 1.6× 35 431
Dandan Hong 184 1.2× 126 0.8× 80 0.5× 42 0.6× 50 0.8× 17 496
Xuemei Jin 188 1.2× 131 0.9× 113 0.8× 27 0.4× 63 1.0× 16 420
Wenhui Qu 118 0.8× 176 1.2× 38 0.3× 110 1.4× 123 1.9× 21 462
Je Hoon Seo 120 0.8× 190 1.3× 33 0.2× 73 1.0× 180 2.8× 45 528
Hsiao‐Wen Lin 147 0.9× 117 0.8× 42 0.3× 54 0.7× 56 0.9× 18 463
Keita Kawabata 95 0.6× 110 0.7× 206 1.4× 63 0.8× 61 1.0× 21 474
Regina Hummel 150 1.0× 156 1.0× 185 1.2× 36 0.5× 30 0.5× 20 425

Countries citing papers authored by Yunna Li

Since Specialization
Citations

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

Fields of papers citing papers by Yunna Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunna Li

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

All Works

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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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