Jingyi Li

43 total papers · 1.6k total citations
27 papers, 1.2k citations indexed

About

Jingyi Li is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Jingyi Li has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Neurology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Neurology. Recurrent topics in Jingyi Li's work include Parkinson's Disease Mechanisms and Treatments (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Nuclear Receptors and Signaling (5 papers). Jingyi Li is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Nuclear Receptors and Signaling (5 papers). Jingyi Li collaborates with scholars based in China, United States and Romania. Jingyi Li's co-authors include Jintao Zhu, Ke Wang, Kui Wang, Rui Liu, Tao Zhang, Yunlong Lei, Jiangping Xu, Jun Zeng, Jinhua Wu and Yuquan Wei and has published in prestigious journals such as Angewandte Chemie International Edition, Blood and Macromolecules.

In The Last Decade

Jingyi Li

26 papers receiving 1.2k citations

Hit Papers

A systematic review and m... 2023 2026 2024 2023 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Jingyi Li 465 267 240 222 120 27 1.2k
Cheng‐Chieh Tsai 677 1.5× 125 0.5× 88 0.4× 106 0.5× 112 0.9× 41 1.4k
Mohammad S. Alavijeh 416 0.9× 70 0.3× 125 0.5× 143 0.6× 42 0.3× 50 1.5k
Huan Nie 790 1.7× 107 0.4× 64 0.3× 108 0.5× 122 1.0× 56 1.3k
Renu Verma 309 0.7× 186 0.7× 74 0.3× 113 0.5× 397 3.3× 59 1.3k
Nicolino Pala 584 1.3× 136 0.5× 188 0.8× 317 1.4× 162 1.4× 34 1.4k
Mi Zhou 436 0.9× 93 0.3× 225 0.9× 78 0.4× 179 1.5× 72 1.3k
Ranjeet Prasad Dash 436 0.9× 70 0.3× 45 0.2× 121 0.5× 69 0.6× 52 1.2k
Michael Chan 348 0.7× 163 0.6× 53 0.2× 110 0.5× 55 0.5× 37 1.4k
Jin Hu 488 1.0× 203 0.8× 112 0.5× 144 0.6× 78 0.7× 42 1.3k
Jingwen Peng 792 1.7× 80 0.3× 87 0.4× 191 0.9× 124 1.0× 45 1.4k

Countries citing papers authored by Jingyi Li

Since Specialization
Citations

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

Fields of papers citing papers by Jingyi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyi Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jingyi Li. A scholar is included among the top collaborators of Jingyi 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 Jingyi Li. Jingyi 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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