Chunjiang Wu

721 citations
15 papers · 514 · h-index 9

Impact in

Papers in

    • PI3K/AKT/mTOR signaling in cancer 4
    • Cancer therapeutics and mechanisms 3
    • Enzyme function and inhibition 2
    • Melanoma and MAPK Pathways 2
    • Synthesis and biological activity 7
    • Quinazolinone synthesis and applications 2

Chunjiang Wu

13 papers receiving 507 citations

Peers

Chunjiang Wu
Comparison fields: 5 of 95
  • Health Informatics 14
  • Organic Chemistry 191
  • Signal Processing 69
  • Artificial Intelligence 169
  • Toxicology 12
Replace Naga Rajiv Lakkaniga with:
Naga Rajiv Lakkaniga United States
Shanshan Liu China
Yafeng Deng China
Kai Zheng China
Tianyi Zang China
Kenneth Lind Sweden
Xiang Yue China
Xiaohong Liu China
Xiaorui Su China
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Citations per field
00.5×10×17.3×
Naga Rajiv Lakkaniga · 1×
Citations per year

Countries citing papers authored by Chunjiang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chunjiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2019235
2 201554
3 201643
4 201437
5 201636
6 201534
7 201629
8 201625
9 201611
10 20234
11 20173
12 20232
13 20251
14 20250
15 20250

About Chunjiang Wu

Chunjiang Wu is a scholar working on Molecular Biology, Organic Chemistry, Pathology and Forensic Medicine, Civil and Structural Engineering and Artificial Intelligence, having authored 15 papers that have together received 514 indexed citations. Recurring topics across this work include Synthesis and biological activity (7 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Cancer therapeutics and mechanisms (3 papers), Quinazolinone synthesis and applications (2 papers), Enzyme function and inhibition (2 papers), Melanoma and MAPK Pathways (2 papers), Cancer Mechanisms and Therapy (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Health Informatics (14 citations), Organic Chemistry (191 citations), Signal Processing (69 citations), Artificial Intelligence (169 citations) and Toxicology (12 citations). Chunjiang Wu has collaborated with scholars based in China. Frequent co-authors include Shilin Qiu, Qihe Liu, Shijie Zhou, Pengwu Zheng, Wufu Zhu, Shan Xu, Qidong Tang, Rong Luo, Chengyu Sun and Le Chen. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Applied Sciences, European Journal of Medicinal Chemistry and IEEE Transactions on Intelligent Transportation Systems.

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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