Mei I Lai
- Genetics top 5%
- Molecular Biology
- Hematology top 5%
- Physiology
- Pediatrics, Perinatology and Child Health
- Co-authors
- Nicholas SilverSwee Lay TheinSteve BestStephan MenzelJie JiangDaisuke SugiyamaKeai Sinn TanWai Feng Lim
- Topics
- Hemoglobinopathies and Related Disorders (23 papers)Iron Metabolism and Disorders (19 papers)CRISPR and Genetic Engineering (6 papers)
- Partner nations
- MalaysiaUnited KingdomNigeria
In The Last Decade
Mei I Lai
31 papers receiving 534 citations
Peers
Comparison fields: 5 of 65
- Genetics 292
- Molecular Biology 239
- Hematology 218
- Physiology 86
- Pediatrics, Perinatology and Child Health 82
Countries citing papers authored by Mei I Lai
This map shows the geographic impact of Mei I Lai'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 Mei I Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei I Lai more than expected).
Fields of papers citing papers by Mei I Lai
This network shows the impact of papers produced by Mei I Lai. 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 Mei I Lai. The network helps show where Mei I Lai may publish in the future.
Co-authorship network of co-authors of Mei I Lai
This figure shows the co-authorship network connecting the top 25 collaborators of Mei I Lai. A scholar is included among the top collaborators of Mei I Lai 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 Mei I Lai. Mei I Lai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 32 | |
| 4 | 5 | |
| 5 | Co-inheritance of Southeast Asian Ovalocytosis and Hb E: Does it affect the red blood cells indices? | 0 |
| 6 | 15 | |
| 7 | 3 | |
| 8 | EVALUATION OF RED BLOOD CELL INDICES RELATED DISORDERS AMONG ELIGIBLE BLOOD DONORS AT THE UNIVERSITI PUTRA MALAYSIA (UPM). | 3 |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 23 | |
| 12 | 17 | |
| 13 | Beta Thalassaemia Mutations in Malays: A Simplified Cost-effective Strategy To Identify the Mutations | 7 |
| 14 | 28 | |
| 15 | 12 | |
| 16 | 5 | |
| 17 | 2 | |
| 18 | 54 | |
| 19 | Alpha haemoglobin stabilizing protein expression in thalassaemia intermedia | 1 |
| 20 | 0 |
About Mei I Lai
Mei I Lai is a scholar working on Genetics, Hematology and Management of Technology and Innovation, having authored 34 papers that have together received 547 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (23 papers), Iron Metabolism and Disorders (19 papers) and CRISPR and Genetic Engineering (6 papers). The work is most often cited by research in Genetics (292 citations), Hematology (218 citations) and Pediatrics, Perinatology and Child Health (82 citations). Mei I Lai has collaborated with scholars based in Malaysia, United Kingdom and Nigeria. Frequent co-authors include Nicholas Silver, Swee Lay Thein, Steve Best, Stephan Menzel, Jie Jiang, Daisuke Sugiyama, Keai Sinn Tan, Wai Feng Lim, Gabriela Surdulescu and Tim D. Spector. Their work appears in journals such as Blood, PLoS ONE and Gene.
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.