Zhiqi Wu

3.9k citations
27 papers · 3.2k indexed · 2 hit papers · h-index 12
Topics
Ubiquitin and proteasome pathways (6 papers)Microtubule and mitosis dynamics (5 papers)14-3-3 protein interactions (4 papers)

In The Last Decade

Zhiqi Wu

24 papers receiving 3.1k citations

Hit Papers

Mitotic and G 2 Checkpoint Control: Regulation of 14-3-3 ...1997202620062016199719972505007501000

Peers

Zhiqi Wu
Comparison fields: 5 of 105
  • Molecular Biology 2.7k
  • Cell Biology 1.3k
  • Oncology 1.2k
  • Cancer Research 253
  • Genetics 146
Replace Eiman Aleem with:
Eiman Aleem United States
Daniele Bergamaschi United Kingdom
Toru Ouchi United States
Utpal P. Davé United States
Christine Blattner Germany
Edit Tarcsa United States
Lin Feng Chen United States
Molly Kulesz‐Martin United States
Yizhou He United States
Laëtitia K. Linares France
Zhiqi Wu relative to Eiman Aleem United States Eiman Aleem's profile →
Citations per field
00.5×3.0×
Eiman Aleem · 1×
Citations per year

Countries citing papers authored by Zhiqi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhiqi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiqi Wu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 0
3 17
4 3
5 22
6 6
7 6
8 12
9 1
10 19
11 13
12 3
13 4
14 6
15 16
16 298
17
C-TAK1 protein kinase phosphorylates human Cdc25C on serine 216 and promotes 14-3-3 protein binding.
190
18 61
19
Conservation of the Chk1 Checkpoint Pathway in Mammals: Linkage of DNA Damage to Cdk Regulation Through Cdc25breakdown →
1061
20 283

About Zhiqi Wu

Zhiqi Wu is a scholar working on Cell Biology, Nephrology and Hematology, having authored 27 papers that have together received 3.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Microtubule and mitosis dynamics (5 papers) and 14-3-3 protein interactions (4 papers). The work is most often cited by research in Cell Biology (1.3k citations), Oncology (1.2k citations) and Molecular Biology (2.7k citations). Zhiqi Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Helen Piwnica‐Worms, Richard S. Thoma, Paul R. Graves, Andréy S. Shaw, Cheng‐Yuan Peng, Yolanda Sánchez, Ron Richman, Stephen J. Elledge, Calvin Wong and Feng Liu. Their work appears in journals such as Nature, Science and PLoS ONE.

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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