Devin Kwok
Impact in
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- IoT and Edge/Fog Computing
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- Genetic Associations and Epidemiology
Papers in
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- Bioinformatics and Genomic Networks 3
- Genomics and Phylogenetic Studies 1
- Nuclear Structure and Function 1
- Biomedical Text Mining and Ontologies 1
- Genetics 5
- Genetic Associations and Epidemiology 5
- Genetic Mapping and Diversity in Plants and Animals 2
- Genetic and phenotypic traits in livestock 1
- Co-authors
- Chen Cao (7 shared papers)Quan Zou (2 shared papers)Zhao Da (1 shared paper)Zilong Zhang (2 shared papers)Feifei Cui (2 shared papers)Mulin Jun Li (1 shared paper)Jianhua Wang (1 shared paper)Quan Long (4 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Briefings in Bioinformatics (1 paper)Molecular Biology and Evolution (1 paper)Human Molecular Genetics (1 paper)Genetics (1 paper)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Devin Kwok
8 papers receiving 455 citations
Devin Kwok's Hit Papers
Peers
Comparison fields: 5 of 103
- Computer Networks and Communications 75
- Genetics 86
- Molecular Biology 208
- Statistical and Nonlinear Physics 32
- Cancer Research 39
Countries citing papers authored by Devin Kwok
This map shows the geographic impact of Devin Kwok'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 Devin Kwok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devin Kwok more than expected).
Fields of papers citing papers by Devin Kwok
This network shows the impact of papers produced by Devin Kwok. 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 Devin Kwok. The network helps show where Devin Kwok may publish in the future.
Co-authors
The 25 scholars most cited alongside Devin Kwok, 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 | webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study Hit paper breakdown → | 2021 | 316 |
| 2 | 2021 | 39 | |
| 3 | 2020 | 34 | |
| 4 | 2011 | 27 | |
| 5 | 2021 | 19 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 10 | |
| 8 | 2021 | 10 |
About Devin Kwok
Devin Kwok is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Rheumatology and Infectious Diseases, having authored 8 papers that have together received 466 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Bioinformatics and Genomic Networks (3 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Genetic and phenotypic traits in livestock (1 paper), Genomics and Phylogenetic Studies (1 paper), Nuclear Structure and Function (1 paper), Text and Document Classification Technologies (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Computer Networks and Communications (75 citations), Genetics (86 citations), Molecular Biology (208 citations), Statistical and Nonlinear Physics (32 citations) and Cancer Research (39 citations). Devin Kwok has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Chen Cao, Quan Zou, Zhao Da, Zilong Zhang, Feifei Cui, Mulin Jun Li, Jianhua Wang, Quan Long, Qing Li and Jingjing Wu. Their work appears in journals such as Nucleic Acids Research, Briefings in Bioinformatics, Molecular Biology and Evolution, Human Molecular Genetics and Genetics.
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.