Qingjuan Wu

24 total papers · 435 total citations
18 papers, 281 citations indexed

About

Qingjuan Wu is a scholar working on Epidemiology, Molecular Biology and Hepatology. According to data from OpenAlex, Qingjuan Wu has authored 18 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Molecular Biology and 5 papers in Hepatology. Recurrent topics in Qingjuan Wu's work include Liver Disease Diagnosis and Treatment (5 papers), Traditional Chinese Medicine Studies (3 papers) and Hepatitis B Virus Studies (3 papers). Qingjuan Wu is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Traditional Chinese Medicine Studies (3 papers) and Hepatitis B Virus Studies (3 papers). Qingjuan Wu collaborates with scholars based in China, United States and Hong Kong. Qingjuan Wu's co-authors include Hengwen Chen, Jun Li, Wenliang Lv, Lixia Wang, Tianzhu Liu, Houping Xu, Ying Wei, Sijin Yang, Lili Zhang and Xinye Li and has published in prestigious journals such as The Journal of Immunology, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Qingjuan Wu

13 papers receiving 278 citations

Hit Papers

Global burden of MAFLD, M... 2025 2026 2025 5 10 15

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Qingjuan Wu 109 55 50 48 40 18 281
Yanfeng Ma 136 1.2× 66 1.2× 43 0.9× 36 0.8× 47 1.2× 18 329
Qubo Chen 84 0.8× 44 0.8× 28 0.6× 44 0.9× 49 1.2× 21 256
Fong‐Lin Chen 109 1.0× 58 1.1× 37 0.7× 50 1.0× 43 1.1× 19 320
Ling Zhang 97 0.9× 48 0.9× 36 0.7× 24 0.5× 18 0.5× 22 293
Feng Li 68 0.6× 34 0.6× 90 1.8× 33 0.7× 48 1.2× 25 301
Lei Shi 126 1.2× 44 0.8× 65 1.3× 19 0.4× 55 1.4× 25 327
Yanfen Li 129 1.2× 65 1.2× 18 0.4× 56 1.2× 45 1.1× 23 314
Lisha He 134 1.2× 31 0.6× 26 0.5× 47 1.0× 38 0.9× 29 313
Lihua Zhu 128 1.2× 37 0.7× 31 0.6× 25 0.5× 52 1.3× 16 324
Ben He 101 0.9× 38 0.7× 43 0.9× 39 0.8× 21 0.5× 16 284

Countries citing papers authored by Qingjuan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Qingjuan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingjuan Wu

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

All Works

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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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