Tamara Peelen

1.2k total citations
13 papers, 660 citations indexed

About

Tamara Peelen is a scholar working on Molecular Biology, Genetics and Reproductive Medicine. According to data from OpenAlex, Tamara Peelen has authored 13 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Reproductive Medicine. Recurrent topics in Tamara Peelen's work include BRCA gene mutations in cancer (5 papers), Ovarian cancer diagnosis and treatment (4 papers) and Identification and Quantification in Food (3 papers). Tamara Peelen is often cited by papers focused on BRCA gene mutations in cancer (5 papers), Ovarian cancer diagnosis and treatment (4 papers) and Identification and Quantification in Food (3 papers). Tamara Peelen collaborates with scholars based in Netherlands, Norway and South Africa. Tamara Peelen's co-authors include Barbara Gravendeel, Peter Devilee, Hans F. A. Vasen, Cees J. Cornelisse, Martijn Staats, Alfred J. Arulandhu, E.J. Kok, Ingrid M. J. Scholtens, Theo W. Prins and Arne Holst‐Jensen and has published in prestigious journals such as Nature Genetics, British Journal of Cancer and International Journal of Cancer.

In The Last Decade

Tamara Peelen

13 papers receiving 641 citations

Peers

Tamara Peelen
Tamara Peelen
Citations per year, relative to Tamara Peelen Tamara Peelen (= 1×) peers Chih‐Yun Hsu

Countries citing papers authored by Tamara Peelen

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Peelen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamara Peelen. 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 Tamara Peelen. The network helps show where Tamara Peelen may publish in the future.

Co-authorship network of co-authors of Tamara Peelen

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

All Works

13 of 13 papers shown
2.
Arulandhu, Alfred J., et al.. (2019). The application of multi-locus DNA metabarcoding in traditional medicines. Journal of Food Composition and Analysis. 79. 87–94. 12 indexed citations
3.
Staats, Martijn, Alfred J. Arulandhu, Barbara Gravendeel, et al.. (2016). Advances in DNA metabarcoding for food and wildlife forensic species identification. Analytical and Bioanalytical Chemistry. 408(17). 4615–4630. 159 indexed citations
4.
Fan, Wei, Rong Li, Sifan Li, et al.. (2016). The Development of DNA Based Methods for the Reliable and Efficient Identification ofNicotiana tabacumin Tobacco and Its Derived Products. International Journal of Analytical Chemistry. 2016. 1–6. 2 indexed citations
5.
Lammers, Youri, Tamara Peelen, Rutger Vos, & Barbara Gravendeel. (2014). The HTS barcode checkerpipeline, a tool for automated detection of illegally traded species from high-throughput sequencing data. BMC Bioinformatics. 15(1). 44–44. 15 indexed citations
6.
Eurlings, Marcel, et al.. (2013). Forensic Identification of Indian Snakeroot (Rauvolfia serpentina Benth. ex Kurz) Using DNA Barcoding. Journal of Forensic Sciences. 58(3). 822–830. 19 indexed citations
7.
Eurlings, Marcel, et al.. (2013). Forensic identification of Indian Snakeroot (Rauvolfia serpentina Benth. ex Kurz) using DNA barcoding. Data Archiving and Networked Services (DANS). 58(3). 822–830. 1 indexed citations
8.
Niet, Timotheüs van der, et al.. (2013). Forensic Identification of CITES Protected Slimming Cactus (Hoodia) Using DNA Barcoding. Journal of Forensic Sciences. 58(6). 1467–1471. 18 indexed citations
9.
Peelen, Tamara, Hans Morreau, Ronald van Eijk, et al.. (2000). Genetic analysis of a breast-ovarian cancer family, with 7 cases of colorectal cancer linked toBRCA1, fails to support a role forBRCA1 in colorectal tumorigenesis. International Journal of Cancer. 88(5). 778–782. 10 indexed citations
10.
Peelen, Tamara, M. van Vliet, Anne Marie Bosch, et al.. (2000). Screening for BRCA2 mutations in 81 Dutch breast–ovarian cancer families. British Journal of Cancer. 82(1). 151–156. 40 indexed citations
11.
Peelen, Tamara, Margreethe van Vliet, Ronald van Eijk, et al.. (1997). BRCA1 genomic deletions are major founder mutations in Dutch breast cancer patients. Nature Genetics. 17(3). 341–345. 321 indexed citations
12.
Amstel, Hans Kristian Ploos van, Janine Roijers, Tamara Peelen, et al.. (1996). Hereditary tyrosinemia type 1: novel missense, nonsense and splice consensus mutations in the human fumarylacetoacetate hydrolase gene; variability of the genotype-phenotype relationship. Human Genetics. 97(1). 51–59. 45 indexed citations
13.
Peelen, Tamara, Margreethe van Vliet, Anne‐Marie Cleton‐Jansen, et al.. (1996). The Majority of 22 Dutch High-RiskBreast Cancer Families Are due toEither BRCA1 or BRCA2. European Journal of Human Genetics. 4(4). 225–230. 15 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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