Brian Chu
Impact in
- Microbiology top 1%
- Reproductive tract infections research
- Parasitology top 5%
- Parasites and Host Interactions
Papers in
- Microbiology 16
- Reproductive tract infections research 16
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- Parasitic Diseases Research and Treatment 11
- Co-authors
- Eric A. Ottesen (6 shared papers)Mark Bradley (5 shared papers)Pamela J. Hooper (5 shared papers)Hung D. Nguyen (4 shared papers)Deborah A. McFarland (3 shared papers)G. Machin (3 shared papers)Rebecca M. Flueckiger (13 shared papers)Roger Hardie (6 shared papers)
- Journals
- Ophthalmic Epidemiology (15 papers)PLoS neglected tropical diseases (8 papers)Journal of the American Academy of Dermatology (4 papers)Journal of Neuroscience (4 papers)Biophysical Journal (3 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Brian Chu
79 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 164
- Microbiology 285
- Parasitology 176
- Infectious Diseases 344
- Health Informatics 17
- Biomaterials 94
Countries citing papers authored by Brian Chu
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
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.
All Works
Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 120 | |
| 2 | 2020 | 102 | |
| 3 | 2010 | 86 | |
| 4 | 2016 | 82 | |
| 5 | 2014 | 56 | |
| 6 | 2014 | 55 | |
| 7 | 2013 | 51 | |
| 8 | 2015 | 51 | |
| 9 | 2016 | 44 | |
| 10 | 2020 | 42 | |
| 11 | 2016 | 41 | |
| 12 | 2019 | 40 | |
| 13 | 2021 | 37 | |
| 14 | 2016 | 35 | |
| 15 | 2014 | 34 | |
| 16 | 2016 | 33 | |
| 17 | 2017 | 30 | |
| 18 | 1988 | 30 | |
| 19 | 2009 | 29 | |
| 20 | 2011 | 25 |
About Brian Chu
Brian Chu is a scholar working on Microbiology, Infectious Diseases, Molecular Biology, Aerospace Engineering and Biomedical Engineering, having authored 82 papers that have together received 1.6k indexed citations. Recurring topics across this work include Reproductive tract infections research (16 papers), Parasitic Diseases Research and Treatment (11 papers), Calibration and Measurement Techniques (7 papers), Neurobiology and Insect Physiology Research (5 papers), Advanced Sensor Technologies Research (4 papers), Supramolecular Self-Assembly in Materials (4 papers), Gene Regulatory Network Analysis (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Microbiology (285 citations), Parasitology (176 citations), Infectious Diseases (344 citations), Health Informatics (17 citations) and Biomaterials (94 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, G. Machin, Rebecca M. Flueckiger, Roger Hardie, Rebecca Willis and Anthony W. Solomon. 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.