Danny Tsai
Impact in
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- Antibiotic Use and Resistance
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
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- Antibiotics Pharmacokinetics and Efficacy 8
- Cannabis and Cannabinoid Research 1
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- Pneumonia and Respiratory Infections 3
- Sepsis Diagnosis and Treatment 2
- Co-authors
- Jeffrey Lipman (9 shared papers)Jason A. Roberts (11 shared papers)Saliya Hewagama (6 shared papers)Sushena Krishnaswamy (4 shared papers)Steven C. Wallis (6 shared papers)Chris Rissel (1 shared paper)Stephen A. Gourley (4 shared papers)Janattul‐Ain Jamal (1 shared paper)
- Journals
- Anaesthesia and Intensive Care (2 papers)International Journal of Antimicrobial Agents (2 papers)Journal of Antimicrobial Chemotherapy (2 papers)Antibiotics (1 paper)Infection Disease & Health (1 paper)
- Partner nations
- AustraliaMalaysiaUnited States
In The Last Decade
Danny Tsai
17 papers receiving 281 citations
Peers
Comparison fields: 5 of 63
- Applied Microbiology and Biotechnology 71
- Molecular Medicine 52
- Pharmacology 139
- Epidemiology 77
- Infectious Diseases 39
Countries citing papers authored by Danny Tsai
This map shows the geographic impact of Danny Tsai'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 Danny Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny Tsai more than expected).
Fields of papers citing papers by Danny Tsai
This network shows the impact of papers produced by Danny Tsai. 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 Danny Tsai. The network helps show where Danny Tsai may publish in the future.
Co-authors
The 25 scholars most cited alongside Danny Tsai, 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 | 2015 | 70 | |
| 2 | 2021 | 43 | |
| 3 | 2014 | 40 | |
| 4 | 2016 | 31 | |
| 5 | 2016 | 23 | |
| 6 | 2016 | 17 | |
| 7 | 2021 | 13 | |
| 8 | 2018 | 12 | |
| 9 | 2018 | 10 | |
| 10 | 2024 | 8 | |
| 11 | 2020 | 7 | |
| 12 | 2021 | 5 | |
| 13 | 2024 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 0 |
About Danny Tsai
Danny Tsai is a scholar working on Pharmacology, Epidemiology, Applied Microbiology and Biotechnology, Clinical Biochemistry and Molecular Medicine, having authored 18 papers that have together received 289 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (8 papers), Antibiotic Use and Resistance (4 papers), Pneumonia and Respiratory Infections (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Antibiotic Resistance in Bacteria (3 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Sepsis Diagnosis and Treatment (2 papers) and Cannabis and Cannabinoid Research (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (71 citations), Molecular Medicine (52 citations), Pharmacology (139 citations), Epidemiology (77 citations) and Infectious Diseases (39 citations). Danny Tsai has collaborated with scholars based in Australia, Malaysia and United States. Frequent co-authors include Jeffrey Lipman, Jason A. Roberts, Saliya Hewagama, Sushena Krishnaswamy, Steven C. Wallis, Chris Rissel, Stephen A. Gourley, Janattul‐Ain Jamal, Joshua S. Davis and Fabian Chiong. Their work appears in journals such as Anaesthesia and Intensive Care, International Journal of Antimicrobial Agents, Journal of Antimicrobial Chemotherapy, Antibiotics and Infection Disease & Health.
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.