Daniel Lai
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
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- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Single-cell and spatial transcriptomics
- RNA Research and Splicing
- Glycosylation and Glycoproteins Research
- Genomics and Phylogenetic Studies
Papers in
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- Single-cell and spatial transcriptomics 6
- RNA and protein synthesis mechanisms 4
- Genomics and Phylogenetic Studies 4
- RNA modifications and cancer 4
- Glycosylation and Glycoproteins Research 2
- Gene expression and cancer classification 2
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- Cancer Genomics and Diagnostics 7
- Co-authors
- Irmtraud M. Meyer (4 shared papers)R. U. Margolis (2 shared papers)Renée K. Margolis (2 shared papers)C. Preti (2 shared papers)Jing Zhu (1 shared paper)Samuel Aparício (6 shared papers)Sohrab P. Shah (6 shared papers)Ivone Leong (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)Brain Research (1 paper)Genome Research (1 paper)PLoS Computational Biology (1 paper)Biochemistry (1 paper)
- Partner nations
- CanadaUnited StatesHong Kong
In The Last Decade
Daniel Lai
21 papers receiving 912 citations
Peers
Comparison fields: 5 of 110
- Cancer Research 191
- Molecular Biology 640
- Cell Biology 94
- Pathology and Forensic Medicine 68
- Genetics 113
Countries citing papers authored by Daniel Lai
This map shows the geographic impact of Daniel 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 Daniel Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lai more than expected).
Fields of papers citing papers by Daniel Lai
This network shows the impact of papers produced by Daniel 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 Daniel Lai. The network helps show where Daniel Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel 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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 162 | |
| 2 | 2013 | 125 | |
| 3 | 1975 | 114 | |
| 4 | 2012 | 95 | |
| 5 | 2015 | 74 | |
| 6 | 2019 | 71 | |
| 7 | 1976 | 62 | |
| 8 | 1988 | 48 | |
| 9 | 2015 | 44 | |
| 10 | 2016 | 37 | |
| 11 | 2011 | 27 | |
| 12 | 2020 | 15 | |
| 13 | 2021 | 14 | |
| 14 | 2013 | 12 | |
| 15 | 2023 | 11 | |
| 16 | 2024 | 11 | |
| 17 | Scheduling engineering works for the MTR corporation in Hong Kong | 2005 | 5 |
| 18 | 2014 | 5 | |
| 19 | 2017 | 3 | |
| 20 | 2024 | 2 |
About Daniel Lai
Daniel Lai is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Cell Biology and Genetics, having authored 21 papers that have together received 938 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Single-cell and spatial transcriptomics (6 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Phylogenetic Studies (4 papers), RNA modifications and cancer (4 papers), Glycosylation and Glycoproteins Research (2 papers), Gene expression and cancer classification (2 papers) and Proteoglycans and glycosaminoglycans research (2 papers). The work is most often cited by research in Cancer Research (191 citations), Molecular Biology (640 citations), Cell Biology (94 citations), Pathology and Forensic Medicine (68 citations) and Genetics (113 citations). Daniel Lai has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include Irmtraud M. Meyer, R. U. Margolis, Renée K. Margolis, C. Preti, Jing Zhu, Samuel Aparício, Sohrab P. Shah, Ivone Leong, Jonathan R. Skinner and Alexander Stuckey. Their work appears in journals such as Nucleic Acids Research, Brain Research, Genome Research, PLoS Computational Biology and Biochemistry.
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.