Raphaela Iris Lau

584 total citations · 1 hit paper
6 papers, 318 citations indexed

About

Raphaela Iris Lau is a scholar working on Molecular Biology, Infectious Diseases and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Raphaela Iris Lau has authored 6 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Raphaela Iris Lau's work include Gut microbiota and health (3 papers), COVID-19 and Mental Health (2 papers) and Intensive Care Unit Cognitive Disorders (2 papers). Raphaela Iris Lau is often cited by papers focused on Gut microbiota and health (3 papers), COVID-19 and Mental Health (2 papers) and Intensive Care Unit Cognitive Disorders (2 papers). Raphaela Iris Lau collaborates with scholars based in Hong Kong, China and United States. Raphaela Iris Lau's co-authors include Qi Su, Siew C. Ng, Francis K.L. Chan, Qin Liu, Fen Zhang, Chun Pan Cheung, Hein M. Tun, Jessica Y. L. Ching, Whitney Tang and Pui Kuan Cheong and has published in prestigious journals such as Nature Communications, Gastroenterology and The Lancet Infectious Diseases.

In The Last Decade

Raphaela Iris Lau

5 papers receiving 308 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Gut microbiota in COVID-19: key microbial changes, potential mechanisms and clinical applications

2022 158 citations Fen Zhang, Raphaela Iris Lau et al. Nature Reviews Gastroenterology & Hepatology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Raphaela Iris Lau Hong Kong	5	180	136	98	34	26	6	318
Birgitte Stiksrud Norway	13	142 0.8×	188 1.4×	91 0.9×	25 0.7×	28 1.1×	18	469
Wenye Xu China	6	193 1.1×	119 0.9×	42 0.4×	8 0.2×	36 1.4×	7	284
Vera Mauro Italy	6	125 0.7×	166 1.2×	79 0.8×	20 0.6×	8 0.3×	7	272
Zhonghan Sun China	8	189 1.1×	88 0.6×	29 0.3×	12 0.4×	18 0.7×	40	399
Ivars Silamiķelis Latvia	11	282 1.6×	86 0.6×	31 0.3×	10 0.3×	36 1.4×	27	446
Gabriella De Girolamo Italy	8	105 0.6×	109 0.8×	31 0.3×	12 0.4×	17 0.7×	12	290
Carlo Romano Settanni Italy	12	335 1.9×	221 1.6×	32 0.3×	17 0.5×	57 2.2×	28	602
Yaya Zhou China	10	153 0.8×	215 1.6×	236 2.4×	60 1.8×	38 1.5×	16	478
Kamla Kant India	9	48 0.3×	218 1.6×	96 1.0×	13 0.4×	4 0.2×	27	338
Vincent J. Maffei United States	7	185 1.0×	60 0.4×	14 0.1×	10 0.3×	23 0.9×	10	305

Countries citing papers authored by Raphaela Iris Lau

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Raphaela Iris Lau

This figure shows the co-authorship network connecting the top 25 collaborators of Raphaela Iris Lau. A scholar is included among the top collaborators of Raphaela Iris Lau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Raphaela Iris Lau. Raphaela Iris Lau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Lau, Raphaela Iris, Qi Su, & Siew C. Ng. (2025). Long COVID and gut microbiome: insights into pathogenesis and therapeutics. Gut Microbes. 17(1). 2457495–2457495. 6 indexed citations

2.

Su, Qi, Raphaela Iris Lau, Qin Liu, et al.. (2024). The gut microbiome associates with phenotypic manifestations of post-acute COVID-19 syndrome. Cell Host & Microbe. 32(5). 651–660.e4. 25 indexed citations

3.

Lau, Raphaela Iris, Jessica Ching, Martin C. S. Wong, et al.. (2023). 913a MODULATION OF GUT MICROBIOME ALLEVIATES POST-ACUTE COVID-19 SYNDROME: A RANDOMISED, TRIPLE-BLIND, PLACEBO-CONTROLLED TRIAL (RECOVERY STUDY). Gastroenterology. 164(6). S–1571.

4.

Lau, Raphaela Iris, Qi Su, Jessica Ching, et al.. (2023). A synbiotic preparation (SIM01) for post-acute COVID-19 syndrome in Hong Kong (RECOVERY): a randomised, double-blind, placebo-controlled trial. The Lancet Infectious Diseases. 24(3). 256–265. 54 indexed citations

5.

Su, Qi, Qin Liu, Raphaela Iris Lau, et al.. (2022). Faecal microbiome-based machine learning for multi-class disease diagnosis. Nature Communications. 13(1). 6818–6818. 75 indexed citations

6.

Zhang, Fen, Raphaela Iris Lau, Qin Liu, et al.. (2022). Gut microbiota in COVID-19: key microbial changes, potential mechanisms and clinical applications. Nature Reviews Gastroenterology & Hepatology. 20(5). 323–337. 158 indexed citations breakdown →

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.

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