Leo J. Lee
- Molecular Biology top 1%
- RNA Research and Splicing 10
- RNA modifications and cancer 9
- RNA and protein synthesis mechanisms 6
- Molecular Biology Techniques and Applications 4
- vaccines and immunoinformatics approaches 2
- Metabolomics and Mass Spectrometry Studies 1
- Glycosylation and Glycoproteins Research 1
- Cancer Research top 2%
- Aging top 5%
- Genetics top 5%
- Health Informatics top 10%
-
- interferon and immune responses 1
- Co-authors
- Brendan J. FreyBenjamin J. BlencoweQun PanOfer ShaiHui XiongSerge GueroussovMichael K. K. LeungQuaid Morris
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Leo J. Lee
16 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Molecular Biology 4.3k
- Cancer Research 830
- Aging 56
- Genetics 443
- Health Informatics 15
Countries citing papers authored by Leo J. Lee
This map shows the geographic impact of Leo J. Lee'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 Leo J. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leo J. Lee more than expected).
Fields of papers citing papers by Leo J. Lee
This network shows the impact of papers produced by Leo J. Lee. 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 Leo J. Lee. The network helps show where Leo J. Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Leo J. Lee, 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 | 2022 | 22 | |
| 2 | 2022 | 5 | |
| 3 | 2020 | 6 | |
| 4 | 2019 | 1 | |
| 5 | 2016 | 7 | |
| 6 | The human splicing code reveals new insights into the genetic determinants of diseasebreakdown → | 2014 | 829 |
| 7 | 2014 | 329 | |
| 8 | 2013 | 31 | |
| 9 | The Evolutionary Landscape of Alternative Splicing in Vertebrate Speciesbreakdown → | 2012 | 710 |
| 10 | 2012 | 40 | |
| 11 | 2011 | 9 | |
| 12 | 2010 | 128 | |
| 13 | 2009 | 127 | |
| 14 | 2009 | 17 | |
| 15 | Deep surveying of alternative splicing complexity in the human transcriptome by high-throughput sequencingbreakdown → | 2008 | 2791 |
| 16 | 2006 | 35 |
About Leo J. Lee
Leo J. Lee is a scholar working on Aging, Molecular Biology and Oncology, having authored 16 papers that have together received 5.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (10 papers), RNA modifications and cancer (9 papers), RNA and protein synthesis mechanisms (6 papers), Molecular Biology Techniques and Applications (4 papers), vaccines and immunoinformatics approaches (2 papers), Metabolomics and Mass Spectrometry Studies (1 paper), interferon and immune responses (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Molecular Biology (4.3k citations), Cancer Research (830 citations) and Aging (56 citations). Leo J. Lee has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Brendan J. Frey, Benjamin J. Blencowe, Qun Pan, Ofer Shai, Hui Xiong, Serge Gueroussov, Michael K. K. Leung, Quaid Morris, Nebojša Jojić and Yoseph Barash. Their work appears in journals such as Science, Nature Genetics and Genes & Development.
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.