Daniel Luk
Impact in
- Developmental Neuroscience top 5%
-
- Neuroscience and Neuropharmacology Research
Papers in
-
- RNA and protein synthesis mechanisms 6
- Genomics and Chromatin Dynamics 5
- RNA Interference and Gene Delivery 4
- RNA Research and Splicing 4
- DNA and Nucleic Acid Chemistry 3
- DNA Repair Mechanisms 2
- Genetics 10
- Virus-based gene therapy research 3
- Co-authors
- Tom Curran (15 shared papers)C Abate (5 shared papers)Tom K. Kerppola (4 shared papers)Richard J. Smeyne (3 shared papers)Frank J. Rauscher (1 shared paper)Reiner Gentz (1 shared paper)Lily Ng (1 shared paper)Colin L. Stewart (1 shared paper)
- Journals
- Molecular and Cellular Biology (7 papers)Virology (4 papers)Proceedings of the National Academy of Sciences (4 papers)Analytical Biochemistry (3 papers)Neuron (3 papers)
- Partner nations
- United StatesSwitzerlandHong Kong
In The Last Decade
Daniel Luk
34 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 111
- Developmental Neuroscience 158
- Cellular and Molecular Neuroscience 727
- Molecular Biology 1.8k
- Cancer Research 293
- Immunology 404
Countries citing papers authored by Daniel Luk
This map shows the geographic impact of Daniel Luk'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 Luk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Luk more than expected).
Fields of papers citing papers by Daniel Luk
This network shows the impact of papers produced by Daniel Luk. 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 Luk. The network helps show where Daniel Luk may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Luk, 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 | 1994 | 416 | |
| 2 | 1996 | 323 | |
| 3 | 1995 | 278 | |
| 4 | 1990 | 231 | |
| 5 | 1992 | 220 | |
| 6 | 1998 | 189 | |
| 7 | 1991 | 159 | |
| 8 | 1993 | 151 | |
| 9 | 1992 | 118 | |
| 10 | 1975 | 95 | |
| 11 | 1991 | 81 | |
| 12 | 1978 | 79 | |
| 13 | 1990 | 77 | |
| 14 | A ubiquitous nuclear protein stimulates the DNA-binding activity of fos and jun indirectly. | 1990 | 71 |
| 15 | 1986 | 59 | |
| 16 | 1982 | 56 | |
| 17 | 1977 | 46 | |
| 18 | 1990 | 45 | |
| 19 | 2014 | 34 | |
| 20 | A fos-lac Z transgenic mouse that can be used for neuroanatomic mapping. | 1993 | 27 |
About Daniel Luk
Daniel Luk is a scholar working on Molecular Biology, Genetics, Epidemiology, Cellular and Molecular Neuroscience and Immunology, having authored 34 papers that have together received 2.9k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), Genomics and Chromatin Dynamics (5 papers), RNA Interference and Gene Delivery (4 papers), RNA Research and Splicing (4 papers), Virology and Viral Diseases (4 papers), Virus-based gene therapy research (3 papers), DNA and Nucleic Acid Chemistry (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (158 citations), Cellular and Molecular Neuroscience (727 citations), Molecular Biology (1.8k citations), Cancer Research (293 citations) and Immunology (404 citations). Daniel Luk has collaborated with scholars based in United States, Switzerland and Hong Kong. Frequent co-authors include Tom Curran, C Abate, Tom K. Kerppola, Richard J. Smeyne, Frank J. Rauscher, Reiner Gentz, Lily Ng, Colin L. Stewart, Michisuke Yuzaki and Douglas Forrest. Their work appears in journals such as Molecular and Cellular Biology, Virology, Proceedings of the National Academy of Sciences, Analytical Biochemistry and Neuron.
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.