Eric C. Lai
- Cancer Research top 0.02%
- MicroRNA in disease regulation 82
- Aging top 0.5%
- Molecular Biology top 0.1%
- RNA Research and Splicing 74
- RNA modifications and cancer 42
- Developmental Biology and Gene Regulation 34
- RNA Interference and Gene Delivery 32
- Circular RNAs in diseases 25
- RNA and protein synthesis mechanisms 24
- Plant Science top 0.5%
- Chromosomal and Genetic Variations 28
- Immunology top 2%
- Co-authors
- Katsutomo OkamuraJakub Orzechowski WestholmGerald M. RubinAlex S. FlyntJr-Shiuan YangDavid M. TylerHong DuanJoshua W. Hagen
- Journals
- Development (15 papers)RNA (14 papers)Proceedings of the National Academy of Sciences (13 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Eric C. Lai
197 papers receiving 21.0k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Cancer Research 10.0k
- Aging 529
- Molecular Biology 17.2k
- Plant Science 3.4k
- Immunology 1.5k
Countries citing papers authored by Eric C. Lai
This map shows the geographic impact of Eric C. 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 Eric C. Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric C. Lai more than expected).
Fields of papers citing papers by Eric C. Lai
This network shows the impact of papers produced by Eric C. 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 Eric C. Lai. The network helps show where Eric C. Lai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric C. Lai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 7 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 13 | |
| 5 | 2022 | 17 | |
| 6 | 2021 | 34 | |
| 7 | 2021 | 3 | |
| 8 | 2015 | 58 | |
| 9 | 2014 | 35 | |
| 10 | 2013 | 12 | |
| 11 | 2013 | 115 | |
| 12 | 2012 | 17 | |
| 13 | 2012 | 48 | |
| 14 | 2011 | 214 | |
| 15 | Virus discovery by deep sequencing and assembly of virus-derived small silencing RNAsbreakdown → | 2010 | 375 |
| 16 | 2010 | 368 | |
| 17 | 2009 | 1 | |
| 18 | 2007 | 80 | |
| 19 | 2005 | 246 | |
| 20 | 2000 | 89 |
About Eric C. Lai
Eric C. Lai is a scholar working on Cancer Research, Aging and Molecular Biology, having authored 198 papers that have together received 21.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (82 papers), RNA Research and Splicing (74 papers), RNA modifications and cancer (42 papers), Developmental Biology and Gene Regulation (34 papers), RNA Interference and Gene Delivery (32 papers), Chromosomal and Genetic Variations (28 papers), Circular RNAs in diseases (25 papers) and RNA and protein synthesis mechanisms (24 papers). The work is most often cited by research in Cancer Research (10.0k citations), Aging (529 citations) and Molecular Biology (17.2k citations). Eric C. Lai has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Katsutomo Okamura, Jakub Orzechowski Westholm, Gerald M. Rubin, Alex S. Flynt, Jr-Shiuan Yang, David M. Tyler, Hong Duan, Joshua W. Hagen, James W. Posakony and Pavel Tomančák. Their work appears in journals such as Development, RNA, Proceedings of the National Academy of Sciences, Current Biology and Molecular Cell.
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.