Kevin Luk

52 total papers · 2.7k total citations
26 papers, 1.0k citations indexed

About

Kevin Luk is a scholar working on Molecular Biology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kevin Luk has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Epidemiology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kevin Luk's work include CRISPR and Genetic Engineering (11 papers), Cytomegalovirus and herpesvirus research (3 papers) and Plant Virus Research Studies (3 papers). Kevin Luk is often cited by papers focused on CRISPR and Genetic Engineering (11 papers), Cytomegalovirus and herpesvirus research (3 papers) and Plant Virus Research Studies (3 papers). Kevin Luk collaborates with scholars based in United States, Canada and France. Kevin Luk's co-authors include Scot A. Wolfe, Jin‐Soo Kim, Daesik Kim, Daniel E. Bauer, Jing Zeng, Qiuming Yao, Luca Pinello, Pengpeng Liu, Chunyan Ren and Yuxuan Wu and has published in prestigious journals such as Nature, Nucleic Acids Research and Circulation.

In The Last Decade

Kevin Luk

25 papers receiving 991 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kevin Luk 711 201 149 125 112 26 1.0k
M. Kyle Cromer 981 1.4× 441 2.2× 125 0.8× 46 0.4× 68 0.6× 17 1.2k
Virginie Mariot 859 1.2× 204 1.0× 80 0.5× 234 1.9× 147 1.3× 38 1.1k
Sarah Krausz 574 0.8× 86 0.4× 78 0.5× 43 0.3× 37 0.3× 26 1.2k
Rosa Romano 759 1.1× 328 1.6× 63 0.4× 24 0.2× 57 0.5× 23 1.0k
Hsiang‐Ying Lee 723 1.0× 87 0.4× 78 0.5× 114 0.9× 40 0.4× 33 1.1k
Rita Gallo 722 1.0× 126 0.6× 78 0.5× 54 0.4× 25 0.2× 27 1.0k
Paul Clark 586 0.8× 148 0.7× 81 0.5× 42 0.3× 28 0.3× 25 1.0k
Yao-Qi Huang 443 0.6× 73 0.4× 54 0.4× 239 1.9× 127 1.1× 17 1.2k
Hanqin Lei 350 0.5× 104 0.5× 368 2.5× 32 0.3× 75 0.7× 22 975
Nassim Arouche 568 0.8× 109 0.5× 30 0.2× 68 0.5× 34 0.3× 20 1.2k

Countries citing papers authored by Kevin Luk

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kevin Luk

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Luk. A scholar is included among the top collaborators of Kevin Luk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin Luk. Kevin Luk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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