M M Lai
- Infectious Diseases top 2%
- Hepatology top 1%
- Animal Science and Zoology top 0.5%
- Epidemiology top 5%
- Molecular Biology
- Co-authors
- Ching‐Len LiaoToshihiro ItoYujing LinStephen A. StohlmanXiao‐Ou ZhangSusan C. BakerKyoko YokomoriDing‐Shinn Chen
- Topics
- Hepatitis C virus research (15 papers)Animal Virus Infections Studies (15 papers)Viral gastroenteritis research and epidemiology (14 papers)
- Partner nations
- United StatesTaiwan
In The Last Decade
M M Lai
27 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 64
- Infectious Diseases 919
- Hepatology 911
- Animal Science and Zoology 889
- Epidemiology 880
- Molecular Biology 440
Countries citing papers authored by M M Lai
This map shows the geographic impact of M M 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 M M Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M M Lai more than expected).
Fields of papers citing papers by M M Lai
This network shows the impact of papers produced by M M 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 M M Lai. The network helps show where M M Lai may publish in the future.
Co-authorship network of co-authors of M M Lai
This figure shows the co-authorship network connecting the top 25 collaborators of M M Lai. A scholar is included among the top collaborators of M M 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 M M Lai. M M 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 | On-treatment predictors of sustained biochemical and virological response in patients with HBeAg-negative chronic hepatitis B (CHB) treated with peginterferon alpha-2a (40 kDa) (Pegasys (R)) | 17 |
| 2 | 289 | |
| 3 | 93 | |
| 4 | 19 | |
| 5 | 153 | |
| 6 | 178 | |
| 7 | 12 | |
| 8 | 74 | |
| 9 | 43 | |
| 10 | 101 | |
| 11 | 92 | |
| 12 | Comparison of the presence of two forms of delta antigen in liver tissues of acute versus chronic delta hepatitis. | 7 |
| 13 | 99 | |
| 14 | RNA-Binding Activity of Hepatitis Delta Antigen Involves Two Arginine-Rich Motifs and is Required for Hepatitis Delta Virus RNA Replication | 2 |
| 15 | 84 | |
| 16 | 47 | |
| 17 | 86 | |
| 18 | 100 | |
| 19 | 158 | |
| 20 | 93 |
About M M Lai
M M Lai is a scholar working on Hepatology, Animal Science and Zoology and Infectious Diseases, having authored 27 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hepatitis C virus research (15 papers), Animal Virus Infections Studies (15 papers) and Viral gastroenteritis research and epidemiology (14 papers). The work is most often cited by research in Hepatology (911 citations), Animal Science and Zoology (889 citations) and Infectious Diseases (919 citations). M M Lai has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Ching‐Len Liao, Toshihiro Ito, Yujing Lin, Stephen A. Stohlman, Xiao‐Ou Zhang, Susan C. Baker, Kyoko Yokomori, Ding‐Shinn Chen, Ming‐Fu Chang and L H Soe. Their work appears in journals such as Proceedings of the National Academy of Sciences, Hepatology and Journal of Virology.
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.