Lai‐Meng Looi
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Breast Cancer Treatment Studies
- Cancer-related molecular mechanisms research
- Nephrology top 5%
Papers in
-
- Amyloidosis: Diagnosis, Treatment, Outcomes 17
- Oncology 39
- Co-authors
- Phaik‐Leng Cheah (65 shared papers)Michael L. Wilson (4 shared papers)Modupe Kuti (4 shared papers)D.A. Bradley (12 shared papers)E. Sumithran (5 shared papers)Cheng Har Yip (15 shared papers)Way Seah Lee (5 shared papers)K. Prathap (6 shared papers)
- Journals
- Pathology (15 papers)Histopathology (10 papers)The Lancet (4 papers)American Journal of Clinical Pathology (4 papers)Cancer (4 papers)
- Partner nations
- MalaysiaUnited KingdomUnited States
In The Last Decade
Lai‐Meng Looi
203 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 150
- Cancer Research 374
- Nephrology 137
- Oncology 497
- Health Informatics 22
- Epidemiology 390
Countries citing papers authored by Lai‐Meng Looi
This map shows the geographic impact of Lai‐Meng Looi'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 Lai‐Meng Looi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lai‐Meng Looi more than expected).
Fields of papers citing papers by Lai‐Meng Looi
This network shows the impact of papers produced by Lai‐Meng Looi. 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 Lai‐Meng Looi. The network helps show where Lai‐Meng Looi may publish in the future.
Co-authors
The 25 scholars most cited alongside Lai‐Meng Looi, 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 211 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 275 | |
| 2 | 2011 | 188 | |
| 3 | 2018 | 140 | |
| 4 | 2007 | 109 | |
| 5 | 1997 | 88 | |
| 6 | 2018 | 75 | |
| 7 | 2012 | 69 | |
| 8 | Deaths in children during an outbreak of hand, foot and mouth disease in Peninsular Malaysia--clinical and pathological characteristics. | 2005 | 61 |
| 9 | 2018 | 58 | |
| 10 | 2016 | 57 | |
| 11 | 1987 | 57 | |
| 12 | 2012 | 52 | |
| 13 | 2012 | 51 | |
| 14 | 2004 | 50 | |
| 15 | 2021 | 50 | |
| 16 | 2014 | 48 | |
| 17 | 1983 | 46 | |
| 18 | 1993 | 45 | |
| 19 | 2009 | 44 | |
| 20 | 2012 | 41 |
About Lai‐Meng Looi
Lai‐Meng Looi is a scholar working on Molecular Biology, Oncology, Epidemiology, Surgery and Artificial Intelligence, having authored 211 papers that have together received 3.1k indexed citations. Recurring topics across this work include AI in cancer detection (22 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (17 papers), Cervical Cancer and HPV Research (13 papers), Breast Cancer Treatment Studies (13 papers), Digital Imaging for Blood Diseases (10 papers), Cell Image Analysis Techniques (9 papers), Renal Diseases and Glomerulopathies (9 papers) and Systemic Lupus Erythematosus Research (9 papers). The work is most often cited by research in Cancer Research (374 citations), Nephrology (137 citations), Oncology (497 citations), Health Informatics (22 citations) and Epidemiology (390 citations). Lai‐Meng Looi has collaborated with scholars based in Malaysia, United Kingdom and United States. Frequent co-authors include Phaik‐Leng Cheah, Michael L. Wilson, Modupe Kuti, D.A. Bradley, E. Sumithran, Cheng Har Yip, Way Seah Lee, K. Prathap, Kwan Hoong Ng and Sanjay A Pai. Their work appears in journals such as Pathology, Histopathology, The Lancet, American Journal of Clinical Pathology and Cancer.
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.