Caizhi Wu

4.5k total citations · 1 hit paper
13 papers, 3.1k citations indexed

About

Caizhi Wu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Caizhi Wu has authored 13 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Cognitive Neuroscience. Recurrent topics in Caizhi Wu's work include Epigenetics and DNA Methylation (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Neural dynamics and brain function (4 papers). Caizhi Wu is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Neural dynamics and brain function (4 papers). Caizhi Wu collaborates with scholars based in United States, Switzerland and Israel. Caizhi Wu's co-authors include Henry Markram, Gilad Silberberg, Maria Toledo‐Rodriguez, Anirudh Gupta, Yun Wang, Yun Wang, Junyi Luo, Z. Josh Huang, Fabrice Ango and Graham Knott and has published in prestigious journals such as Nature, Nature Communications and The EMBO Journal.

In The Last Decade

Caizhi Wu

13 papers receiving 3.1k citations

Hit Papers

Interneurons of the neocortical inhibitory system 2004 2026 2011 2018 2004 500 1000 1.5k 2.0k

Peers

Caizhi Wu
Comparison fields: 5 of 104
  • Cellular and Molecular Neuroscience 2.3k
  • Cognitive Neuroscience 1.9k
  • Molecular Biology 785
  • Neurology 368
  • Developmental Neuroscience 350
Replace Maria Toledo‐Rodriguez with:
Maria Toledo‐Rodriguez United Kingdom
Katalin Tóth Canada
Yumiko Yoshimura Japan
Raymond A. Chitwood United States
Anirudh Gupta Israel
Alison L. Barth United States
Jörg R. P. Geiger Germany
Zsolt Borhegyi Hungary
Bryan M. Hooks United States
Maria Toledo‐Rodriguez United Kingdom View profile →
Citations per field, relative to Caizhi Wu
Caizhi Wu · 1×
Citations per year, relative to Caizhi Wu
Caizhi Wu · 1×

Countries citing papers authored by Caizhi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Caizhi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caizhi Wu

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 2
2 19
3 4
4 11
5 46
6 14
7 87
8 100
9 77
10 351
11 60
12
Interneurons of the neocortical inhibitory system breakdown →
2208
13 138

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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