Chenxi Wu

1.8k citations
63 papers · 1.4k · h-index 21

Impact in

Papers in

    • Wnt/β-catenin signaling in development and cancer 5
    • Ubiquitin and proteasome pathways 4
    • FOXO transcription factor regulation 4
    • RNA Interference and Gene Delivery 3
    • Invertebrate Immune Response Mechanisms 4
    • Immunotherapy and Immune Responses 4

Chenxi Wu

57 papers receiving 1.4k citations

Peers

Chenxi Wu
Comparison fields: 5 of 108
  • Drug Discovery 2
  • Immunology 226
  • Cancer Research 154
  • Biomaterials 137
  • Aging 17
Replace Lulu Han with:
Lulu Han China
Jennifer E. Kay United States
Shane Bruckner United States
Antonio Gaballo Italy
Belal Azab United States
Xiaoling Guo China
Zheng Cui China
Mengting Liu China
Shengsong Tang China
Xiaofeng Wu China
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Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Chenxi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chenxi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chenxi Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chenxi Wu Line = papers co-authored together Chenxi Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014138
2 2022102
3 201191
4 201376
5 202074
6 202073
7 202364
8 201457
9 201750
10 202348
11 201548
12 201741
13 201237
14 201932
15 201830
16 202027
17 202126
18 201922
19 201321
20 202321

About Chenxi Wu

Chenxi Wu is a scholar working on Molecular Biology, Immunology, Cell Biology, Biomedical Engineering and Oncology, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (8 papers), Nanoplatforms for cancer theranostics (7 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Ubiquitin and proteasome pathways (4 papers), Invertebrate Immune Response Mechanisms (4 papers), Immunotherapy and Immune Responses (4 papers), FOXO transcription factor regulation (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Drug Discovery (2 citations), Immunology (226 citations), Cancer Research (154 citations), Biomaterials (137 citations) and Aging (17 citations). Chenxi Wu has collaborated with scholars based in China, United States and Croatia. Frequent co-authors include Tianmeng Sun, Jialiang Wang, Hongmei Chen, Yong‐Guang Yang, Kuirong Mao, Xiuxiu Cong, Gang Niu, Lei Zhu, Zhuang Liu and Xiaolian Sun. Their work appears in journals such as Biomaterials Science, Frontiers in Pharmacology, Biomaterials, Journal of Ethnopharmacology and Proceedings of the National Academy of Sciences.

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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