Anniek De Witte

1.7k total citations
3 papers, 118 citations indexed

About

Anniek De Witte is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Anniek De Witte has authored 3 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Epidemiology and 1 paper in Genetics. Recurrent topics in Anniek De Witte's work include Hepatitis B Virus Studies (1 paper), Biochemical and Molecular Research (1 paper) and Hepatitis C virus research (1 paper). Anniek De Witte is often cited by papers focused on Hepatitis B Virus Studies (1 paper), Biochemical and Molecular Research (1 paper) and Hepatitis C virus research (1 paper). Anniek De Witte collaborates with scholars based in United States. Anniek De Witte's co-authors include Karen W. Shannon, Paul K. Wolber, Anne Bergstrom Lucas, Patrick Collins, Vincent Lévêque, Han Ma, Weixing Li, Klaus Klumpp, Nick Cammack and Richard A. Olshen and has published in prestigious journals such as Methods in enzymology on CD-ROM/Methods in enzymology, Human Molecular Genetics and Virology.

In The Last Decade

Anniek De Witte

3 papers receiving 108 citations

Peers

Anniek De Witte
Nilanjan Mukherjee United States
Soree Park South Korea
Anniek De Witte
Citations per year, relative to Anniek De Witte Anniek De Witte (= 1×) peers Hafiz Ullah

Countries citing papers authored by Anniek De Witte

Since Specialization
Citations

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

Fields of papers citing papers by Anniek De Witte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anniek De Witte. 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 Anniek De Witte. The network helps show where Anniek De Witte may publish in the future.

Co-authorship network of co-authors of Anniek De Witte

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

All Works

3 of 3 papers shown
1.
Wolber, Paul K., Patrick Collins, Anne Bergstrom Lucas, Anniek De Witte, & Karen W. Shannon. (2006). [2] The Agilent In Situ‐Synthesized Microarray Platform. Methods in enzymology on CD-ROM/Methods in enzymology. 410. 28–57. 61 indexed citations
2.
Ma, Han, Vincent Lévêque, Anniek De Witte, et al.. (2004). Inhibition of native hepatitis C virus replicase by nucleotide and non-nucleoside inhibitors. Virology. 332(1). 8–15. 52 indexed citations
3.
Olivier, Michael, Chao A. Hsiung, Lee‐Ming Chuang, et al.. (2004). Single nucleotide polymorphisms in protein tyrosine phosphatase 1β (PTPN1) are associated with essential hypertension and obesity. Human Molecular Genetics. 13(20). 2545–2545. 5 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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