Kaizhen Li

1.0k total citations · 1 hit paper
16 papers, 680 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 680 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 Neuroscience and Neuropharmacology Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Memory and Neural Mechanisms (4 papers). Kaizhen Li is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (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, Adrián Olmos‐Alonso, Tom Tipton, Zoltán Molnár, Philippa Richardson and V. Hugh Perry and has published in prestigious journals such as Nature Communications, Scientific Reports and Neuroscience.

In The Last Decade

Kaizhen Li

16 papers receiving 675 citations

Hit Papers

Coupled Proliferation and Apoptosis Maintain the Rapid Tu... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers

Kaizhen Li
Comparison fields: 5 of 81
  • Neurology 521
  • Immunology 299
  • Cellular and Molecular Neuroscience 119
  • Molecular Biology 114
  • Developmental Neuroscience 113
Replace Hannah Y. Collins with:
Hannah Y. Collins United States
Philippa Richardson United Kingdom
Huimin Yue China
Morgane Sonia Thion France
Adam D. Kovac Germany
Anto Pavlovic Switzerland
Sunrae E. Taloma United States
Stefano Suzzi Israel
Laura E. Kuil Netherlands
Tatyana Pivneva Ukraine
Hannah Y. Collins United States View profile →
Citations per field, relative to Kaizhen Li
Kaizhen Li · 1×
Citations per year, relative to Kaizhen Li
Kaizhen Li · 1×

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

16 of 16 papers shown
# Work Indexed citations
1 1
2 8
3 13
4 2
5 6
6 7
7 20
8 1
9 9
10
Coupled Proliferation and Apoptosis Maintain the Rapid Turnover of Microglia in the Adult Brain breakdown →
504
11 51
12 8
13 21
14 15
15 3
16 11

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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