Tsu‐Lan Wu

106 papers receiving 3.1k citations

Peers

Tsu‐Lan Wu
Comparison fields: 5 of 134
  • Molecular Medicine 1.1k
  • Endocrinology 593
  • Applied Microbiology and Biotechnology 150
  • Clinical Biochemistry 328
  • Infectious Diseases 530
Replace Antonio Toniolo with:
Antonio Toniolo Italy
Neelam Taneja India
Young Bae Kim South Korea
Payam Behzadi Iran
Kwen‐Tay Luh Taiwan
Ye Feng China
Alban Le Monnier France
Jeanine P. Wiener-Kronish United States
J. M. Andrews United Kingdom
Mehdi Goudarzi Iran
Tsu‐Lan Wu relative to Antonio Toniolo Italy Antonio Toniolo's profile →
Citations per field
00.5×1.7×
Antonio Toniolo · 1×
Citations per year

Countries citing papers authored by Tsu‐Lan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tsu‐Lan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002191
2 2002174
3 2013107
4 201488
5 200287
6 200584
7 201372
8 200572
9 200271
10 201370
11 201665
12 200664
13 201164
14 200364
15 200357
16 200054
17 201550
18 200345
19 200645
20 201245

About Tsu‐Lan Wu

Tsu‐Lan Wu is a scholar working on Epidemiology, Molecular Medicine, Infectious Diseases, Molecular Biology and Endocrinology, having authored 107 papers that have together received 3.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (36 papers), Antimicrobial Resistance in Staphylococcus (13 papers), Salmonella and Campylobacter epidemiology (12 papers), Antibiotics Pharmacokinetics and Efficacy (12 papers), Vibrio bacteria research studies (11 papers), Bacterial Identification and Susceptibility Testing (10 papers), Bacterial biofilms and quorum sensing (9 papers) and Mycobacterium research and diagnosis (9 papers). The work is most often cited by research in Molecular Medicine (1.1k citations), Endocrinology (593 citations), Applied Microbiology and Biotechnology (150 citations), Clinical Biochemistry (328 citations) and Infectious Diseases (530 citations). Tsu‐Lan Wu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chien‐Feng Sun, Kuo‐Chien Tsao, Ju‐Hsin Chia, James T. Wu, Lin‐Hui Su, An-Jing Kuo, Cheng‐Hsun Chiu, Pi‐Yueh Chang, Chishih Chu and L. Kristopher Siu. Their work appears in journals such as Journal of Microbiology Immunology and Infection, Journal of Clinical Laboratory Analysis, Clinica Chimica Acta, PLoS ONE and Journal of Antimicrobial Chemotherapy.

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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