Fann Wu

1.7k citations
42 papers · 1.2k · h-index 20

Impact in

Papers in

    • Antimicrobial Resistance in Staphylococcus 15
    • Antifungal resistance and susceptibility 7
    • Fungal Infections and Studies 5
    • Infective Endocarditis Diagnosis and Management 4

Fann Wu

40 papers receiving 1.2k citations

Peers

Fann Wu
Comparison fields: 5 of 75
  • Clinical Biochemistry 376
  • Molecular Medicine 250
  • Applied Microbiology and Biotechnology 99
  • Infectious Diseases 612
  • Endocrinology 116
Replace Ellen M. Mascini with:
Ellen M. Mascini Netherlands
Gesuèle Renzi Switzerland
Karina Kennedy Australia
Tracy Ross United States
John Segreti United States
Kathleen Riederer United States
Savita Gossain United Kingdom
Marian Matushek United States
W. R. Gransden United Kingdom
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Citations per field
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Ellen M. Mascini · 1×
Citations per year

Countries citing papers authored by Fann Wu

Since Specialization
Citations

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

Fields of papers citing papers by Fann Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004125
2 2003115
3 2005110
4 2007100
5 200255
6 201053
7 200352
8 200749
9 201149
10 200545
11 201243
12 202041
13 200234
14 200433
15 200728
16 201225
17 201022
18 200421
19 200820
20 201120

About Fann Wu

Fann Wu is a scholar working on Infectious Diseases, Epidemiology, Clinical Biochemistry, Public Health, Environmental and Occupational Health and Molecular Medicine, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (15 papers), Bacterial Identification and Susceptibility Testing (13 papers), Streptococcal Infections and Treatments (11 papers), Antibiotic Resistance in Bacteria (10 papers), Neonatal and Maternal Infections (9 papers), Antifungal resistance and susceptibility (7 papers), Fungal Infections and Studies (5 papers) and Infective Endocarditis Diagnosis and Management (4 papers). The work is most often cited by research in Clinical Biochemistry (376 citations), Molecular Medicine (250 citations), Applied Microbiology and Biotechnology (99 citations), Infectious Diseases (612 citations) and Endocrinology (116 citations). Fann Wu has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Phyllis Della‐Latta, Lisa Saiman, David Rubenstein, Janet Haas, Juyan Zhou, Elaine Larson, Alicia Cronquist, Jeannie P. Cimiotti, Betsy Todd and Archana Gupta. Their work appears in journals such as Journal of Clinical Microbiology, Infection Control and Hospital Epidemiology, American Journal of Clinical Pathology, American Journal of Infection Control and Open Forum Infectious Diseases.

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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