Liana C. Chan
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus 17
- Microbiology top 5%
- Antimicrobial Peptides and Activities 2
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing 7
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 4
- Immunology top 10%
- Immune responses and vaccinations 2
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- Streptococcal Infections and Treatments 5
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- Bacterial biofilms and quorum sensing 4
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- Adipose Tissue and Metabolism 2
- Co-authors
- Henry F. ChambersIsrael CharoNoah SaederupSérgio A. LiraLi BasuinoBinh An DiepSom S. ChatterjeeStephanie M. Hamilton
- Journals
- Antibiotics (4 papers)Infection and Immunity (3 papers)Antimicrobial Agents and Chemotherapy (3 papers)
- Partner nations
- United StatesAustraliaArgentina
In The Last Decade
Liana C. Chan
25 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Infectious Diseases 468
- Microbiology 120
- Clinical Biochemistry 115
- Molecular Medicine 83
- Immunology 351
Countries citing papers authored by Liana C. Chan
This map shows the geographic impact of Liana C. Chan'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 Liana C. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liana C. Chan more than expected).
Fields of papers citing papers by Liana C. Chan
This network shows the impact of papers produced by Liana C. Chan. 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 Liana C. Chan. The network helps show where Liana C. Chan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liana C. Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 7 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 19 | |
| 10 | 2021 | 2 | |
| 11 | 2021 | 1 | |
| 12 | 2019 | 37 | |
| 13 | 2016 | 49 | |
| 14 | 2016 | 37 | |
| 15 | 2015 | 44 | |
| 16 | 2015 | 18 | |
| 17 | 2013 | 68 | |
| 18 | 2010 | 175 | |
| 19 | 2007 | 180 | |
| 20 | 2007 | 60 |
About Liana C. Chan
Liana C. Chan is a scholar working on Computational Mathematics, Clinical Biochemistry and Infectious Diseases, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (17 papers), Bacterial Identification and Susceptibility Testing (7 papers), Streptococcal Infections and Treatments (5 papers), Antibiotic Resistance in Bacteria (4 papers), Bacterial biofilms and quorum sensing (4 papers), Antimicrobial Peptides and Activities (2 papers), Immune responses and vaccinations (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Infectious Diseases (468 citations), Microbiology (120 citations) and Clinical Biochemistry (115 citations). Liana C. Chan has collaborated with scholars based in United States, Australia and Argentina. Frequent co-authors include Henry F. Chambers, Israel Charo, Noah Saederup, Sérgio A. Lira, Li Basuino, Binh An Diep, Som S. Chatterjee, Stephanie M. Hamilton, Michael R. Yeaman and Meghana Rao. Their work appears in journals such as Antibiotics, Infection and Immunity, Antimicrobial Agents and Chemotherapy, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.