Xiaocui Wu

875 citations
49 papers · 590 · h-index 14

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 25
    • Antimicrobial Resistance in Staphylococcus 10
    • Mycobacterium research and diagnosis 25
    • Pneumocystis jirovecii pneumonia detection and treatment 4

Xiaocui Wu

45 papers receiving 586 citations

Peers

Xiaocui Wu
Comparison fields: 5 of 64
  • Molecular Medicine 130
  • Infectious Diseases 396
  • Microbiology 8
  • Clinical Biochemistry 64
  • Epidemiology 306
Replace Constantin Hays with:
Constantin Hays France
Zayre Erturan Türkiye
Toyoko Oguri Japan
Mohammad Savari Iran
H.‐J. Linde Germany
T. Schülin Netherlands
Suporn Pholwat United States
H. Drugeon France
Ying-Chun Xu China
P.‐M. Rath Germany
Xiaocui Wu relative to Constantin Hays France Constantin Hays's profile →
Citations per field
00.5×
Constantin Hays · 1×
Citations per year

Countries citing papers authored by Xiaocui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaocui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201958
2 201554
3 202345
4 201430
5 202227
6 202024
7 201923
8 202222
9 202021
10 202217
11 202116
12 202214
13 202214
14 202314
15 202213
16 202413
17 201512
18 202112
19 202112
20 202212

About Xiaocui Wu

Xiaocui Wu is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Molecular Medicine and Surgery, having authored 49 papers that have together received 590 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (25 papers), Mycobacterium research and diagnosis (25 papers), Bacterial biofilms and quorum sensing (12 papers), Antimicrobial Resistance in Staphylococcus (10 papers), Antibiotic Resistance in Bacteria (9 papers), Antimicrobial Peptides and Activities (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers) and Bacterial Identification and Susceptibility Testing (4 papers). The work is most often cited by research in Molecular Medicine (130 citations), Infectious Diseases (396 citations), Microbiology (8 citations), Clinical Biochemistry (64 citations) and Epidemiology (306 citations). Xiaocui Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Fangyou Yu, Yinjuan Guo, Yanlei Xu, Lulin Rao, Huilin Zhao, Wei Sha, Jingyi Yu, Haican Liu, Jinghui Yang and Xiuqin Zhao. Their work appears in journals such as Infection and Drug Resistance, International Journal of Infectious Diseases, Microbiology Spectrum, Emerging Microbes & Infections 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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