Devin Kwok

586 citations
7 papers · 473 · 1 hit paper · h-index 7

Impact in

Papers in

Devin Kwok

7 papers receiving 456 citations

Devin Kwok's Hit Papers

webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study 2021 · 321 citations
3210+1+3Years since publication100200300

Peers

Devin Kwok
Comparison fields: 5 of 70
  • Drug Discovery 3
  • Genetics 93
  • Statistical and Nonlinear Physics 28
  • Computer Networks and Communications 46
  • Molecular Biology 119
Replace Bingbo Wang with:
Bingbo Wang China
Juan Felipe Beltrán United States
Sarvenaz Choobdar Portugal
Matteo Ré Italy
Sivan Sabato A Israel
Zhenhua Yu China
Nikita A. Sakhanenko United States
Ayush Singhal United States
Petteri Sevón Finland
Ioannis Lestas United Kingdom
Devin Kwok relative to Bingbo Wang China Bingbo Wang's profile →
Citations per field
00.5×2×4×6.1×
Bingbo Wang · 1×
Citations per year

Countries citing papers authored by Devin Kwok

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Devin Kwok Line = papers co-authored together Devin Kwok links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study
Hit paper breakdown →
2021321
2 202150
3 202040
4 202122
5 202318
6 202112
7 202310

About Devin Kwok

Devin Kwok is a scholar working on Genetics, Artificial Intelligence, Molecular Biology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 7 papers that have together received 473 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Topic Modeling (1 paper), Machine Learning in Healthcare (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Drug Discovery (3 citations), Genetics (93 citations), Statistical and Nonlinear Physics (28 citations), Computer Networks and Communications (46 citations) and Molecular Biology (119 citations). Devin Kwok has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Chen Cao, Quan Zou, Feifei Cui, Zilong Zhang, Zhao Da, Mulin Jun Li, Jianhua Wang, Quan Long, Qing Li and Jingjing Wu. Their work appears in journals such as Nucleic Acids Research, Molecular Biology and Evolution, IEEE Journal of Biomedical and Health Informatics, Briefings in Bioinformatics and PLoS 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.

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