Kevin Luk
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- CRISPR and Genetic Engineering 11
- RNA and protein synthesis mechanisms 2
- Advanced biosensing and bioanalysis techniques 2
-
- Cytomegalovirus and herpesvirus research 3
- Co-authors
- Scot A. Wolfe (15 shared papers)Jin‐Soo Kim (1 shared paper)Daesik Kim (1 shared paper)Daniel E. Bauer (6 shared papers)Jing Zeng (6 shared papers)Qiuming Yao (4 shared papers)Pengpeng Liu (6 shared papers)Luca Pinello (3 shared papers)
- Journals
- Blood (2 papers)JAMA Cardiology (2 papers)Nature Communications (1 paper)Developmental Cell (1 paper)Journal of Clinical Microbiology (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Kevin Luk
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Aging 70
- Business and International Management 58
- Genetics 127
- Molecular Biology 757
- Genetics 194
Countries citing papers authored by Kevin Luk
This map shows the geographic impact of Kevin 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 Kevin Luk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Luk more than expected).
Fields of papers citing papers by Kevin Luk
This network shows the impact of papers produced by Kevin 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 Kevin Luk. The network helps show where Kevin Luk may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 208 | |
| 2 | 2019 | 128 | |
| 3 | 2019 | 88 | |
| 4 | 2019 | 79 | |
| 5 | 2020 | 65 | |
| 6 | 2022 | 64 | |
| 7 | 2019 | 59 | |
| 8 | 2021 | 54 | |
| 9 | 2021 | 47 | |
| 10 | 2017 | 45 | |
| 11 | 2017 | 41 | |
| 12 | 2022 | 30 | |
| 13 | 2001 | 27 | |
| 14 | 2017 | 25 | |
| 15 | 2013 | 25 | |
| 16 | 2018 | 23 | |
| 17 | 2022 | 17 | |
| 18 | 2015 | 16 | |
| 19 | 2012 | 14 | |
| 20 | 2023 | 12 |
About Kevin Luk
Kevin Luk is a scholar working on Molecular Biology, Epidemiology, Hepatology, Public Health, Environmental and Occupational Health and Genetics, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (11 papers), Hepatitis C virus research (4 papers), Cytomegalovirus and herpesvirus research (3 papers), Mosquito-borne diseases and control (3 papers), Plant Virus Research Studies (3 papers), Immune Cell Function and Interaction (2 papers), RNA and protein synthesis mechanisms (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Aging (70 citations), Business and International Management (58 citations), Genetics (127 citations), Molecular Biology (757 citations) and Genetics (194 citations). Kevin Luk has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Scot A. Wolfe, Jin‐Soo Kim, Daesik Kim, Daniel E. Bauer, Jing Zeng, Qiuming Yao, Pengpeng Liu, Luca Pinello, Anne H. Shen and Chunyan Ren. Their work appears in journals such as Blood, JAMA Cardiology, Nature Communications, Developmental Cell and Journal of Clinical Microbiology.
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.