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 5
- Cancer-related gene regulation 3
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- Cytomegalovirus and herpesvirus research 5
- Co-authors
- Mark Peifer (6 shared papers)Sandra Oršulić (3 shared papers)Amy Bejsovec (1 shared paper)Chien‐Kuo Lee (4 shared papers)Gail Barcelo (2 shared papers)Trudi Schüpbach (2 shared papers)Catherine Kirkpatrick (2 shared papers)Ji‐Long Liu (5 shared papers)
- Journals
- Development (6 papers)Journal of Biomedical Science (4 papers)Fly (2 papers)Journal of Cell Science (2 papers)Genetics (2 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Li‐Mei Pai
31 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 93
- Physiology 96
- Cell Biology 263
- Molecular Biology 1.1k
- Aging 17
- Immunology 191
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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 252 | |
| 2 | 2000 | 106 | |
| 3 | 1996 | 87 | |
| 4 | 2019 | 83 | |
| 5 | 2014 | 73 | |
| 6 | 1999 | 69 | |
| 7 | 2015 | 69 | |
| 8 | 1993 | 62 | |
| 9 | 2018 | 58 | |
| 10 | 2017 | 48 | |
| 11 | 2013 | 48 | |
| 12 | 2009 | 47 | |
| 13 | 1999 | 45 | |
| 14 | 2015 | 39 | |
| 15 | 2020 | 34 | |
| 16 | 2008 | 34 | |
| 17 | 2019 | 23 | |
| 18 | 2009 | 22 | |
| 19 | 2006 | 20 | |
| 20 | 2014 | 15 |
About Li‐Mei Pai
Li‐Mei Pai is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Immunology and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 1.3k 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 (5 papers), Cytomegalovirus and herpesvirus research (5 papers), Neurobiology and Insect Physiology Research (4 papers), HIV/AIDS drug development and treatment (4 papers), Immunotherapy and Immune Responses (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Physiology (96 citations), Cell Biology (263 citations), Molecular Biology (1.1k citations), Aging (17 citations) and Immunology (191 citations). Li‐Mei Pai has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Mark Peifer, Sandra Oršulić, Amy Bejsovec, Chien‐Kuo Lee, Gail Barcelo, Trudi Schüpbach, Catherine Kirkpatrick, Ji‐Long Liu, Chia‐Chun Chang and Rachel T. Cox. Their work appears in journals such as Development, Journal of Biomedical Science, Fly, Journal of Cell Science and Genetics.
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.