Zhuo‐Xun Wu

5.2k citations
53 papers · 3.5k indexed · 2 hit papers · h-index 25

Zhuo‐Xun Wu

53 papers receiving 3.4k citations

Hit Papers

Tumor cell plasticity in targeted therapy-induced resista...125202220262023202450010001.5k

Peers

Zhuo‐Xun Wu
Comparison fields: 5 of 145
  • Biological Psychiatry 104
  • Molecular Biology 2.1k
  • Oncology 836
  • Cancer Research 367
  • Infectious Diseases 416
Replace Jing‐Quan Wang with:
Jing‐Quan Wang China
Tianyu Liu China
Hyun‐Jeong Ko South Korea
Harry Cheuk-Hay Lau Hong Kong
Marcello Chieppa Italy
Glauben Landskron Chile
Hung‐Rong Yen Taiwan
Jia Sun China
Venkatakrishna R. Jala United States
Hang Thi Thu Nguyen United States
Zhuo‐Xun Wu relative to Jing‐Quan Wang China Jing‐Quan Wang's profile →
Citations per field
00.5×1.6×
Jing‐Quan Wang · 1×
Citations per year

Countries citing papers authored by Zhuo‐Xun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhuo‐Xun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Zhuo‐Xun 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 Zhuo‐Xun Wu Line = papers co-authored together Zhuo‐Xun Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202510
2 20246
3 20237
4
Tumor cell plasticity in targeted therapy-induced resistance: mechanisms and new strategiesbreakdown →
2023125
5 202274
6 202277
7 2021105
8 202117
9 202113
10 202123
11 202136
12 202126
13 202111
14 2020101
15 202028
16 202033
17 202096
18 202038
19 202035
20 201957

About Zhuo‐Xun Wu

Zhuo‐Xun Wu is a scholar working on Oncology, Infectious Diseases and Molecular Medicine, having authored 53 papers that have together received 3.5k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (32 papers), HIV/AIDS drug development and treatment (16 papers), Cancer therapeutics and mechanisms (12 papers), Pharmacological Effects and Toxicity Studies (8 papers), Epigenetics and DNA Methylation (5 papers), DNA and Nucleic Acid Chemistry (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Biological Psychiatry (104 citations), Molecular Biology (2.1k citations) and Oncology (836 citations). Zhuo‐Xun Wu has collaborated with scholars based in United States, China and Iran. Frequent co-authors include Zhe‐Sheng Chen, Jing‐Quan Wang, Kejun Hou, Xuan-Yu Chen, Liuya Wei, Jagadish Koya, Chuanxing Xiao, Dan Zhu, Dongya Zhang and Jilin Li. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Frontiers in Microbiology.

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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