Dylan H. de Vries

3.6k total citations
8 papers, 368 citations indexed

About

Dylan H. de Vries is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Dylan H. de Vries has authored 8 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Infectious Diseases. Recurrent topics in Dylan H. de Vries's work include Single-cell and spatial transcriptomics (4 papers), Genetic Associations and Epidemiology (2 papers) and Gene Regulatory Network Analysis (2 papers). Dylan H. de Vries is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Genetic Associations and Epidemiology (2 papers) and Gene Regulatory Network Analysis (2 papers). Dylan H. de Vries collaborates with scholars based in Netherlands, United States and Romania. Dylan H. de Vries's co-authors include Lude Franke, Monique G.P. van der Wijst, Harm Brugge, Morris A. Swertz, Patrick Deelen, Harm-Jan Westra, Roy Oelen, Martijn Vochteloo, Chun Ye and M. Grace Gordon and has published in prestigious journals such as Nature Communications, Nature Genetics and Scientific Reports.

In The Last Decade

Dylan H. de Vries

8 papers receiving 366 citations

Peers

Dylan H. de Vries

MB

GENET

IMMUN

CR

EPIDE

Lilit Nersisyan Armenia

YoSon Park United States

Helia N. Sanchez United States

Justin B. Moroney United States

Kyra Minahan Australia

Akhilesh Kumar Bajpai United States

Douglas K. Brubaker United States

Ergün Pınarbaşı Türkiye

Rutger J. Wierda Netherlands

A M Corraliza Spain

Lilit Nersisyan Armenia

Dylan H. de Vries

237 ×0.8

MB

44 ×0.4

GENET

57 ×1.0

IMMUN

30 ×0.7

CR

23 ×0.7

EPIDE

Citations per year, relative to Dylan H. de Vries Dylan H. de Vries (= 1×) peers Lilit Nersisyan

Countries citing papers authored by Dylan H. de Vries

Since Specialization

Citations

This map shows the geographic impact of Dylan H. de Vries'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 Dylan H. de Vries with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dylan H. de Vries more than expected).

Fields of papers citing papers by Dylan H. de Vries

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dylan H. de Vries. 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 Dylan H. de Vries. The network helps show where Dylan H. de Vries may publish in the future.

Co-authorship network of co-authors of Dylan H. de Vries

This figure shows the co-authorship network connecting the top 25 collaborators of Dylan H. de Vries. A scholar is included among the top collaborators of Dylan H. de Vries 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 Dylan H. de Vries. Dylan H. de Vries is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Dam, Sipko van, et al.. (2023). The necessity of incorporating non-genetic risk factors into polygenic risk score models. Scientific Reports. 13(1). 1351–1351. 4 indexed citations

2.

Kokkorakis, Michail, Sipko van Dam, Shahrad Taheri, et al.. (2023). Effective questionnaire-based prediction models for type 2 diabetes across several ethnicities: a model development and validation study. EClinicalMedicine. 64. 102235–102235. 8 indexed citations

3.

Li, Shuang, Katharina Schmid, Dylan H. de Vries, et al.. (2023). Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data. Genome biology. 24(1). 80–80. 12 indexed citations

4.

Oelen, Roy, Dylan H. de Vries, Harm Brugge, et al.. (2022). Single-cell RNA-sequencing of peripheral blood mononuclear cells reveals widespread, context-specific gene expression regulation upon pathogenic exposure. Nature Communications. 13(1). 3267–3267. 53 indexed citations

5.

Wejryd, Erik, Giovanna Marchini, Baldvin Jónsson, et al.. (2021). Lactobacillus reuteri Colonisation of Extremely Preterm Infants in a Randomised Placebo-Controlled Trial. Microorganisms. 9(5). 915–915. 17 indexed citations

6.

Vries, Dylan H. de, Vasiliki Matzaraki, Olivier B. Bakker, et al.. (2020). Integrating GWAS with bulk and single-cell RNA-sequencing reveals a role for LY86 in the anti-Candida host response. PLoS Pathogens. 16(4). e1008408–e1008408. 14 indexed citations

7.

Wijst, Monique G.P. van der, Harm Brugge, Dylan H. de Vries, et al.. (2018). Single-cell RNA sequencing identifies celltype-specific cis-eQTLs and co-expression QTLs. Nature Genetics. 50(4). 493–497. 205 indexed citations

8.

Wijst, Monique G.P. van der, Dylan H. de Vries, Harm Brugge, Harm-Jan Westra, & Lude Franke. (2018). An integrative approach for building personalized gene regulatory networks for precision medicine. Genome Medicine. 10(1). 96–96. 55 indexed citations

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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