Willem van Snippenberg

445 total citations
10 papers, 222 citations indexed

About

Willem van Snippenberg is a scholar working on Molecular Biology, Infectious Diseases and Virology. According to data from OpenAlex, Willem van Snippenberg has authored 10 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Infectious Diseases and 4 papers in Virology. Recurrent topics in Willem van Snippenberg's work include HIV Research and Treatment (4 papers), HIV/AIDS drug development and treatment (3 papers) and RNA modifications and cancer (2 papers). Willem van Snippenberg is often cited by papers focused on HIV Research and Treatment (4 papers), HIV/AIDS drug development and treatment (3 papers) and RNA modifications and cancer (2 papers). Willem van Snippenberg collaborates with scholars based in Belgium, United States and Australia. Willem van Snippenberg's co-authors include Linos Vandekerckhove, Wim Trypsteen, Sarah Gerlo, Jolien Van Cleemput, Sofie Rutsaert, Ward De Spiegelaere, Marion Pardons, Annemarie M. J. Wensing, Petra M. van Ham and Jerel Vega and has published in prestigious journals such as Nature Communications, International Journal of Molecular Sciences and Clinical Chemistry.

In The Last Decade

Willem van Snippenberg

10 papers receiving 215 citations

Peers

Willem van Snippenberg

ID

MB

VIROL

NEURO

BE

Matteo Augello Italy

Lena Hansen Norway

Jun-Sun Park South Korea

Íñigo Sagastagoitia Spain

Farbod Alinezhad Iran

Andrew Berglund United States

Giacomo S. Frattari Denmark

Enrico Richter Germany

Tien-Ying Hsiang United States

Line K. Vibholm Denmark

Matteo Augello Italy

Willem van Snippenberg

102 ×0.8

ID

28 ×0.5

MB

37 ×0.9

VIROL

27 ×0.8

NEURO

4 ×0.1

BE

Citations per year, relative to Willem van Snippenberg Willem van Snippenberg (= 1×) peers Matteo Augello

Countries citing papers authored by Willem van Snippenberg

Since Specialization

Citations

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

Fields of papers citing papers by Willem van Snippenberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Willem van Snippenberg. 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 Willem van Snippenberg. The network helps show where Willem van Snippenberg may publish in the future.

Co-authorship network of co-authors of Willem van Snippenberg

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

All Works

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10 of 10 papers shown

1.

Snippenberg, Willem van, Sofie Rutsaert, Marie‐Angélique De Scheerder, et al.. (2024). Integrative Assessment of Total and Intact HIV-1 Reservoir by a 5-Region Multiplexed Rainbow DNA Digital PCR Assay. Clinical Chemistry. 71(1). 203–214. 3 indexed citations

2.

Snippenberg, Willem van, Kimberly Verniers, Gwendolyn Μ. Jang, et al.. (2024). Interactome of the HIV-1 proteome and human host RNA. EMBO Reports. 25(9). 4078–4090. 1 indexed citations

3.

Chen, Yao, et al.. (2023). Measuring DNA quality by digital PCR using probability calculations. Analytica Chimica Acta. 1279. 341822–341822. 6 indexed citations

4.

Pardons, Marion, Willem van Snippenberg, Sofie Rutsaert, et al.. (2023). Potent latency reversal by Tat RNA-containing nanoparticle enables multi-omic analysis of the HIV-1 reservoir. Nature Communications. 14(1). 8397–8397. 22 indexed citations

5.

Snippenberg, Willem van, et al.. (2023). Evaluating lncRNA Expression Patterns during HIV-1 Treatment Interruption. International Journal of Molecular Sciences. 24(2). 1031–1031. 2 indexed citations

6.

Bony, Eric James de, Nurten Yigit, Jasper Anckaert, et al.. (2022). A 3′‐end capture sequencing method for high‐throughput targeted gene expression profiling. Biotechnology Journal. 17(9). e2100660–e2100660. 1 indexed citations

7.

Snippenberg, Willem van, et al.. (2021). Triplex digital PCR assays for the quantification of intact proviral HIV-1 DNA. Methods. 201. 41–48. 19 indexed citations

8.

Tang, Maoxing, Willem van Snippenberg, Annekatrien Boel, et al.. (2021). Digital Polymerase Chain Reaction for Assessment of Mutant Mitochondrial Carry-over after Nuclear Transfer for In Vitro Fertilization. Clinical Chemistry. 67(7). 968–976. 5 indexed citations

9.

Trypsteen, Wim, Jolien Van Cleemput, Willem van Snippenberg, Sarah Gerlo, & Linos Vandekerckhove. (2020). On the whereabouts of SARS-CoV-2 in the human body: A systematic review. PLoS Pathogens. 16(10). e1009037–e1009037. 146 indexed citations

10.

Wensing, Annemarie M. J., et al.. (2018). Development of sensitive ddPCR assays to reliably quantify the proviral DNA reservoir in all common circulating HIV subtypes and recombinant forms. Journal of the International AIDS Society. 21(9). e25185–e25185. 17 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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