Brian Chu

76 papers receiving 1.4k citations

Peers

Brian Chu
Comparison fields: 5 of 161
  • Microbiology 281
  • Parasitology 233
  • Infectious Diseases 338
  • Health Informatics 20
  • Epidemiology 247
Replace Bruce E. Dunn with:
Bruce E. Dunn United States
Andrew W. Taylor‐Robinson Australia
Jocelyne Piret Canada
Gong Cheng China
Rebecca L. Smith United States
David J. Lynn Australia
C. Elizabeth Shaaban United States
Martin Eichner Germany
Ivan M. Roitt United Kingdom
Debrah I. Boeras United States
Brian Chu relative to Bruce E. Dunn United States Bruce E. Dunn's profile →
Citations per field
00.5×3.6×
Bruce E. Dunn · 1×
Citations per year

Countries citing papers authored by Brian Chu

Since Specialization
Citations

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

Fields of papers citing papers by Brian Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018115
2 202096
3 201078
4 201454
5 201452
6 201550
7 201348
8 201643
9 201639
10 202137
11 201935
12 201634
13 202034
14 201630
15 201429
16 200928
17 201728
18 198827
19 201125
20 201624

About Brian Chu

Brian Chu is a scholar working on Microbiology, Parasitology, Infectious Diseases, Health Informatics and Emergency Medical Services, having authored 80 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reproductive tract infections research (16 papers), Parasitic Diseases Research and Treatment (11 papers), Parasites and Host Interactions (10 papers), Cervical Cancer and HPV Research (10 papers), Parasite Biology and Host Interactions (7 papers), Calibration and Measurement Techniques (7 papers), Adolescent Sexual and Reproductive Health (6 papers) and Neurobiology and Insect Physiology Research (5 papers). The work is most often cited by research in Microbiology (281 citations), Parasitology (233 citations), Infectious Diseases (338 citations), Health Informatics (20 citations) and Epidemiology (247 citations). Brian Chu has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Eric A. Ottesen, Mark Bradley, Pamela J. Hooper, Hung D. Nguyen, Deborah A. McFarland, Rebecca M. Flueckiger, G. Machin, Roger Hardie, Anthony W. Solomon and Rebecca Willis. Their work appears in journals such as Ophthalmic Epidemiology, PLoS neglected tropical diseases, Journal of the American Academy of Dermatology, Journal of Neuroscience and Biophysical Journal.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026