Raphaela Iris Lau
Impact in
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- Tryptophan and brain disorders
- Infectious Diseases top 10%
- Clostridium difficile and Clostridium perfringens research
- COVID-19 Clinical Research Studies
Papers in
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- Gut microbiota and health 3
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- Clostridium difficile and Clostridium perfringens research 2
- Co-authors
- Qi Su (5 shared papers)Siew C. Ng (6 shared papers)Francis K.L. Chan (5 shared papers)Qin Liu (3 shared papers)Fen Zhang (1 shared paper)Chun Pan Cheung (3 shared papers)Hein M. Tun (2 shared papers)Louis Ho Shing Lau (3 shared papers)
- Journals
- Gut Microbes (1 paper)Cell Host & Microbe (1 paper)The Lancet Infectious Diseases (1 paper)Nature Communications (1 paper)Gastroenterology (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Raphaela Iris Lau
5 papers receiving 308 citations
Raphaela Iris Lau's Hit Papers
Peers
Comparison fields: 5 of 82
- Biological Psychiatry 26
- Infectious Diseases 136
- Critical Care and Intensive Care Medicine 34
- Neurology 98
- Gastroenterology 20
Countries citing papers authored by Raphaela Iris Lau
This map shows the geographic impact of Raphaela Iris Lau'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 Raphaela Iris Lau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaela Iris Lau more than expected).
Fields of papers citing papers by Raphaela Iris Lau
This network shows the impact of papers produced by Raphaela Iris Lau. 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 Raphaela Iris Lau. The network helps show where Raphaela Iris Lau may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphaela Iris Lau, 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 | Gut microbiota in COVID-19: key microbial changes, potential mechanisms and clinical applications Hit paper breakdown → | 2022 | 158 |
| 2 | 2022 | 75 | |
| 3 | 2023 | 54 | |
| 4 | 2024 | 25 | |
| 5 | 2025 | 6 | |
| 6 | 2023 | 0 |
About Raphaela Iris Lau
Raphaela Iris Lau is a scholar working on Molecular Biology, Infectious Diseases, Critical Care and Intensive Care Medicine, Neurology and Clinical Psychology, having authored 6 papers that have together received 318 indexed citations. Recurring topics across this work include Gut microbiota and health (3 papers), Long-Term Effects of COVID-19 (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), COVID-19 and Mental Health (2 papers), Intensive Care Unit Cognitive Disorders (2 papers), Thermal Regulation in Medicine (1 paper), Neurological and metabolic disorders (1 paper) and Tryptophan and brain disorders (1 paper). The work is most often cited by research in Biological Psychiatry (26 citations), Infectious Diseases (136 citations), Critical Care and Intensive Care Medicine (34 citations), Neurology (98 citations) and Gastroenterology (20 citations). Raphaela Iris Lau has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Qi Su, Siew C. Ng, Francis K.L. Chan, Qin Liu, Fen Zhang, Chun Pan Cheung, Hein M. Tun, Louis Ho Shing Lau, Pui Kuan Cheong and Whitney Tang. Their work appears in journals such as Gut Microbes, Cell Host & Microbe, The Lancet Infectious Diseases, Nature Communications and Gastroenterology.
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.