Kaizhen Li

22 total papers · 987 total citations
16 papers, 673 citations indexed

About

Kaizhen Li is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Kaizhen Li has authored 16 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 5 papers in Neurology and 4 papers in Cognitive Neuroscience. Recurrent topics in Kaizhen Li's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Memory and Neural Mechanisms (4 papers). Kaizhen Li is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Memory and Neural Mechanisms (4 papers). Kaizhen Li collaborates with scholars based in Germany, Switzerland and China. Kaizhen Li's co-authors include Olga Garaschuk, Yajie Liang, Diego Gómez‐Nicola, Kristoffer Riecken, Katharine E. Askew, V. Hugh Perry, Mark S. Cragg, Philippa Richardson, Amanda Sierra and Fernando García‐Moreno and has published in prestigious journals such as Nature Communications, Scientific Reports and Neuroscience.

In The Last Decade

Kaizhen Li

16 papers receiving 668 citations

Hit Papers

Coupled Proliferation and... 2017 2026 2020 2023 2017 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Kaizhen Li 514 297 117 113 112 16 673
Hannah Y. Collins 580 1.1× 322 1.1× 150 1.3× 157 1.4× 188 1.7× 9 770
Alexander H. De Haas 493 1.0× 289 1.0× 140 1.2× 134 1.2× 130 1.2× 11 754
Hilmar R. J. van Weering 420 0.8× 240 0.8× 139 1.2× 104 0.9× 99 0.9× 15 683
Laura Kracht 444 0.9× 235 0.8× 65 0.6× 145 1.3× 77 0.7× 12 589
Adam D. Kovac 437 0.9× 273 0.9× 152 1.3× 119 1.1× 95 0.8× 10 694
Augustė Vadišiūtė 499 1.0× 192 0.6× 198 1.7× 125 1.1× 142 1.3× 8 691
Ting Fu 363 0.7× 157 0.5× 182 1.6× 217 1.9× 86 0.8× 18 777
Yoko Tohyama 409 0.8× 148 0.5× 239 2.0× 199 1.8× 149 1.3× 22 733
Elizabeth Y. Litvina 306 0.6× 131 0.4× 340 2.9× 237 2.1× 121 1.1× 13 660
Y. Murabe 422 0.8× 145 0.5× 186 1.6× 208 1.8× 115 1.0× 15 621

Countries citing papers authored by Kaizhen Li

Since Specialization
Citations

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

Fields of papers citing papers by Kaizhen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaizhen Li

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