Emily Mui

424 citations
18 papers · 300 indexed · h-index 7

Impact in

Papers in

Emily Mui

16 papers receiving 290 citations

Peers

Emily Mui
Comparison fields: 5 of 70
  • Applied Microbiology and Biotechnology 59
  • Clinical Biochemistry 78
  • Pharmacology 141
  • Infectious Diseases 154
  • Molecular Medicine 23
Replace Christian Lanckohr with:
Christian Lanckohr Germany
Yoshihiro Shimodozono Japan
Stéphanie Leroux France
Kathryn Daveson Australia
Raymond Yost United States
Jill Butterfield United States
R. Brigg Turner United States
Takumi Umemura Japan
Yuki Hanai Japan
Pelle Hanberg Denmark
Emily Mui relative to Christian Lanckohr Germany Christian Lanckohr's profile →
Citations per field
00.5×1.7×
Christian Lanckohr · 1×
Citations per year

Countries citing papers authored by Emily Mui

Since Specialization
Citations

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

Fields of papers citing papers by Emily Mui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 20241
2 20241
3 202317
4 20231
5 20231
6 20231
7 20224
8 202211
9 202111
10 20200
11 20201
12 202016
13 20191
14 201971
15 2017109
16 20163
17 20141
18 201050

About Emily Mui

Emily Mui is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry, Infectious Diseases, Pharmacology and Epidemiology, having authored 18 papers that have together received 300 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (7 papers), Antibiotic Use and Resistance (7 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Pneumonia and Respiratory Infections (3 papers), Antifungal resistance and susceptibility (3 papers), Fungal Infections and Studies (3 papers) and Urinary Tract Infections Management (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (59 citations), Clinical Biochemistry (78 citations), Pharmacology (141 citations), Infectious Diseases (154 citations) and Molecular Medicine (23 citations). Emily Mui has collaborated with scholars based in United States. Frequent co-authors include Marisa Holubar, Lina Meng, Stan Deresinski, Sharon Huang, Tiffany Wong, Lindsey R. Baden, Francisco M. Marty, Julie M. Bryar, David W. Kubiak and Anne McDonnell. Their work appears in journals such as Open Forum Infectious Diseases, Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy, Clinical Therapeutics, Journal of Clinical Microbiology and BMC 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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