Brenda Ang

89 papers receiving 2.5k citations

Peers

Brenda Ang
Comparison fields: 5 of 155
  • Applied Microbiology and Biotechnology 258
  • Infectious Diseases 1.2k
  • Molecular Medicine 309
  • Modeling and Simulation 227
  • Clinical Biochemistry 177
Replace James A. McKinnell with:
James A. McKinnell United States
Eu Suk Kim South Korea
Joon‐Sup Yeom South Korea
Woo Joo Kim South Korea
Hee Jin Cheong South Korea
Caroline Quach Canada
Stefan P. Kuster Switzerland
H. Rogier van Doorn Vietnam
Jonathan Hon-Kwan Chen Hong Kong
Emily Sickbert-Bennett United States
Brenda Ang relative to James A. McKinnell United States James A. McKinnell's profile →
Citations per field
00.5×1.5×
James A. McKinnell · 1×
Citations per year

Countries citing papers authored by Brenda Ang

Since Specialization
Citations

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

Fields of papers citing papers by Brenda Ang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999352
2 2013269
3 2003218
4 2018191
5 2004102
6 201080
7 201465
8
Nipah viral encephalitis or Japanese encephalitis? MR findings in a new zoonotic disease.
200054
9 202053
10 200251
11 201948
12 202048
13 201148
14 200542
15 199240
16 201237
17 201035
18 199235
19 201032
20 201831

About Brenda Ang

Brenda Ang is a scholar working on Infectious Diseases, Epidemiology, Molecular Medicine, Applied Microbiology and Biotechnology and Clinical Biochemistry, having authored 91 papers that have together received 2.6k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (20 papers), Antibiotic Use and Resistance (17 papers), Antibiotic Resistance in Bacteria (17 papers), Bacterial Identification and Susceptibility Testing (12 papers), Infection Control and Ventilation (9 papers), COVID-19 epidemiological studies (9 papers), COVID-19 Clinical Research Studies (8 papers) and COVID-19 and healthcare impacts (8 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (258 citations), Infectious Diseases (1.2k citations), Molecular Medicine (309 citations), Modeling and Simulation (227 citations) and Clinical Biochemistry (177 citations). Brenda Ang has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Yee‐Sin Leo, Angela Chow, C. C. Tchoyoson Lim, Lin‐Fa Wang, Paul Anantharajah Tambyah, Moi Lin Ling, Dale Fisher, James S. Molton, Nicholas I. Paton and David Chien Lye. Their work appears in journals such as Infection Control and Hospital Epidemiology, Journal of Hospital Infection, Clinical Infectious Diseases, Emerging infectious diseases and Antimicrobial Resistance and Infection Control.

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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