Li‐Mei Pai
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Biochemical and Molecular Research 9
- Developmental Biology and Gene Regulation 8
- Wnt/β-catenin signaling in development and cancer 6
- Cancer-related gene regulation 4
-
- Cellular transport and secretion 3
- Cellular Mechanics and Interactions 3
- Co-authors
- Mark Peifer (8 shared papers)Sandra Oršulić (3 shared papers)Michael J. Casey (1 shared paper)Amy Bejsovec (1 shared paper)Chien‐Kuo Lee (4 shared papers)Trudi Schüpbach (2 shared papers)Gail Barcelo (2 shared papers)Catherine Kirkpatrick (2 shared papers)
- Journals
- Development (6 papers)Journal of Biomedical Science (4 papers)Fly (2 papers)Genetics (2 papers)PLoS ONE (2 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Li‐Mei Pai
34 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 92
- Physiology 99
- Cell Biology 307
- Molecular Biology 1.2k
- Aging 22
- Immunology 192
Countries citing papers authored by Li‐Mei Pai
This map shows the geographic impact of Li‐Mei Pai'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 Li‐Mei Pai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐Mei Pai more than expected).
Fields of papers citing papers by Li‐Mei Pai
This network shows the impact of papers produced by Li‐Mei Pai. 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 Li‐Mei Pai. The network helps show where Li‐Mei Pai may publish in the future.
Co-authors
The 25 scholars most cited alongside Li‐Mei Pai, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 256 | |
| 2 | 1994 | 219 | |
| 3 | 2000 | 112 | |
| 4 | 1996 | 89 | |
| 5 | 2019 | 86 | |
| 6 | 2014 | 73 | |
| 7 | 1999 | 71 | |
| 8 | 2015 | 70 | |
| 9 | 1993 | 64 | |
| 10 | 2018 | 59 | |
| 11 | 2017 | 51 | |
| 12 | 2013 | 48 | |
| 13 | 2009 | 48 | |
| 14 | 1999 | 46 | |
| 15 | 2015 | 39 | |
| 16 | 2008 | 36 | |
| 17 | 2020 | 35 | |
| 18 | 2019 | 23 | |
| 19 | 2009 | 22 | |
| 20 | 2006 | 22 |
About Li‐Mei Pai
Li‐Mei Pai is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Immunology and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (9 papers), Developmental Biology and Gene Regulation (8 papers), Wnt/β-catenin signaling in development and cancer (6 papers), Cancer-related gene regulation (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Cellular transport and secretion (3 papers), HIV/AIDS drug development and treatment (3 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Physiology (99 citations), Cell Biology (307 citations), Molecular Biology (1.2k citations), Aging (22 citations) and Immunology (192 citations). Li‐Mei Pai has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Mark Peifer, Sandra Oršulić, Michael J. Casey, Amy Bejsovec, Chien‐Kuo Lee, Trudi Schüpbach, Gail Barcelo, Catherine Kirkpatrick, Chia‐Chun Chang and Ji‐Long Liu. Their work appears in journals such as Development, Journal of Biomedical Science, Fly, Genetics and PLoS ONE.
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.