Devin Kwok
Impact in
-
- Genetic Associations and Epidemiology
-
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Gene expression and cancer classification
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
Papers in
-
- Bioinformatics and Genomic Networks 3
- Epigenetics and DNA Methylation 1
- Gene expression and cancer classification 1
- Genetics 5
- Genetic Associations and Epidemiology 5
- Genetic Mapping and Diversity in Plants and Animals 2
- Genomics and Rare Diseases 1
- Genetic Syndromes and Imprinting 1
- Co-authors
- Chen Cao (7 shared papers)Quan Zou (2 shared papers)Zilong Zhang (2 shared papers)Feifei Cui (2 shared papers)Jianhua Wang (1 shared paper)Mulin Jun Li (1 shared paper)Zhao Da (1 shared paper)Quan Long (4 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Genetics (1 paper)Molecular Biology and Evolution (1 paper)Human Molecular Genetics (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Devin Kwok
8 papers receiving 479 citations
Devin Kwok's Hit Papers
Peers
Comparison fields: 5 of 103
- Genetics 88
- Molecular Biology 207
- Computer Networks and Communications 75
- Cancer Research 35
- Statistical and Nonlinear Physics 32
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 | 321 |
| 2 | 2021 | 44 | |
| 3 | 2020 | 37 | |
| 4 | 2011 | 32 | |
| 5 | 2021 | 20 | |
| 6 | 2023 | 14 | |
| 7 | 2021 | 11 | |
| 8 | 2023 | 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 489 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), Folate and B Vitamins Research (1 paper), Genomics and Rare Diseases (1 paper), Epigenetics and DNA Methylation (1 paper), Gene expression and cancer classification (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Genetics (88 citations), Molecular Biology (207 citations), Computer Networks and Communications (75 citations), Cancer Research (35 citations) and Statistical and Nonlinear Physics (32 citations). Devin Kwok has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Chen Cao, Quan Zou, Zilong Zhang, Feifei Cui, Jianhua Wang, Mulin Jun Li, Zhao Da, Quan Long, Qing Li and Jingjing Wu. Their work appears in journals such as Nucleic Acids Research, Genetics, Molecular Biology and Evolution, Human Molecular Genetics and IEEE Journal of Biomedical and Health Informatics.
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.