Lii-Tzu Wu

662 citations
32 papers · 533 · h-index 15

Impact in

Papers in

    • Antibiotic Resistance in Bacteria 20
    • Infections and bacterial resistance 6
    • Vibrio bacteria research studies 6
    • Escherichia coli research studies 3

Lii-Tzu Wu

31 papers receiving 520 citations

Peers

Lii-Tzu Wu
Comparison fields: 5 of 82
  • Molecular Medicine 254
  • Endocrinology 164
  • Applied Microbiology and Biotechnology 18
  • Microbiology 37
  • Clinical Biochemistry 38
Replace Xiangkuo Zheng with:
Xiangkuo Zheng China
Haifei Yang China
Xiucai Zhang China
Vincent Trebosc Switzerland
JoAnn Dzink-Fox United States
Isamu Nakasone Japan
Reza Ranjbar Iran
Brendan W. Corey United States
Chen Huang China
Sohidul Islam Bangladesh
Lii-Tzu Wu relative to Xiangkuo Zheng China Xiangkuo Zheng's profile →
Citations per field
00.5×10×20×26×
Xiangkuo Zheng · 1×
Citations per year

Countries citing papers authored by Lii-Tzu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lii-Tzu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200759
2 200737
3 201535
4 201134
5 200431
6 201831
7 201727
8 200325
9 202323
10 200522
11 201622
12 201720
13 200617
14 200917
15 200117
16 200614
17 201614
18 200314
19 202213
20 201012

About Lii-Tzu Wu

Lii-Tzu Wu is a scholar working on Molecular Medicine, Endocrinology, Molecular Biology, Infectious Diseases and Pharmacology, having authored 32 papers that have together received 533 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (20 papers), Infections and bacterial resistance (6 papers), Vibrio bacteria research studies (6 papers), Bacterial biofilms and quorum sensing (5 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers) and Escherichia coli research studies (3 papers). The work is most often cited by research in Molecular Medicine (254 citations), Endocrinology (164 citations), Applied Microbiology and Biotechnology (18 citations), Microbiology (37 citations) and Clinical Biochemistry (38 citations). Lii-Tzu Wu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Wen‐Liang Yu, Tsuey‐Ching Yang, Chih‐Ming Chen, Chih‐Ho Lai, Yin-Ching Chuang, Rouh-Mei Hu, Jing‐Gung Chung, Mei‐Fen Tsou, Yi‐Jiun Pan and Ronald N. Jones. Their work appears in journals such as Biomedicine, Diagnostic Microbiology and Infectious Disease, Microbial Drug Resistance, Antimicrobial Agents and Chemotherapy and Journal of Medical 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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