Judith Penkert

654 total citations
8 papers, 113 citations indexed

About

Judith Penkert is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Judith Penkert has authored 8 papers receiving a total of 113 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Genetics. Recurrent topics in Judith Penkert's work include Epigenetics and DNA Methylation (4 papers), BRCA gene mutations in cancer (3 papers) and Cancer-related Molecular Pathways (3 papers). Judith Penkert is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), BRCA gene mutations in cancer (3 papers) and Cancer-related Molecular Pathways (3 papers). Judith Penkert collaborates with scholars based in Germany, France and United States. Judith Penkert's co-authors include Doris Steinemann, Brigitte Schlegelberger, Tim Ripperger, Thomas Illig, Maximilian Schieck, Bernd Auber, Stephanie Schubert, Dorothea Gadzicki, Karl Hackmann and Winfried Hofmann and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Cancer and Oncotarget.

In The Last Decade

Judith Penkert

8 papers receiving 112 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Judith Penkert Germany 4 74 53 37 35 15 8 113
Keith Booher United States 7 75 1.0× 42 0.8× 30 0.8× 32 0.9× 8 0.5× 11 141
Oscar Pellón-Cárdenas United States 9 78 1.1× 39 0.7× 41 1.1× 26 0.7× 32 2.1× 9 139
Deborah Castelletti Switzerland 6 117 1.6× 20 0.4× 21 0.6× 18 0.5× 13 0.9× 6 136
Wendy A. van Zelst-Stams Netherlands 5 87 1.2× 58 1.1× 45 1.2× 53 1.5× 72 4.8× 5 168
Jonathan Beesley Australia 5 70 0.9× 42 0.8× 18 0.5× 76 2.2× 25 1.7× 12 141
Sasi Arunachalam United States 6 48 0.6× 25 0.5× 19 0.5× 25 0.7× 9 0.6× 11 93
Svetlana Tverskaya Russia 4 100 1.4× 50 0.9× 21 0.6× 21 0.6× 6 0.4× 5 126
Paula Rofes Spain 6 65 0.9× 35 0.7× 30 0.8× 52 1.5× 48 3.2× 11 118
Virginia Díez‐Obrero Spain 7 53 0.7× 24 0.5× 24 0.6× 33 0.9× 24 1.6× 10 101
Katherine Sullivan-Reed United States 6 151 2.0× 25 0.5× 78 2.1× 17 0.5× 5 0.3× 8 170

Countries citing papers authored by Judith Penkert

Since Specialization
Citations

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

Fields of papers citing papers by Judith Penkert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Judith Penkert

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

All Works

8 of 8 papers shown
1.
Großhennig, Anika, Valentin Harter, Angela Mastronuzzi, et al.. (2025). Cancer risk in carriers of TP53 germline variants grouped into different functional categories. JNCI Cancer Spectrum. 9(1). 1 indexed citations
2.
Montellier, Emilie, Nicolas Lemonnier, Judith Penkert, et al.. (2024). Clustering of TP53 variants into functional classes correlates with cancer risk and identifies different phenotypes of Li-Fraumeni syndrome. iScience. 27(12). 111296–111296. 3 indexed citations
3.
Penkert, Judith, et al.. (2023). Research on Rare Diseases in Germany - Cancer Predisposition Syndrome Registry. SHILAP Revista de lepidopterología. 8(4). 17–23. 3 indexed citations
4.
Penkert, Judith, Martin Seifert, Bernd Auber, et al.. (2021). Plasma Metabolome Signature Indicative of BRCA1 Germline Status Independent of Cancer Incidence. Frontiers in Oncology. 11. 627217–627217. 3 indexed citations
5.
Penkert, Judith, Gunnar Schmidt, Winfried Hofmann, et al.. (2018). Breast cancer patients suggestive of Li-Fraumeni syndrome: mutational spectrum, candidate genes, and unexplained heredity. Breast Cancer Research. 20(1). 87–87. 6 indexed citations
6.
Schubert, Stephanie, Bernd Auber, Gunnar Schmidt, et al.. (2018). The identification of pathogenic variants in BRCA1/2 negative, high risk, hereditary breast and/or ovarian cancer patients: High frequency of FANCM pathogenic variants. International Journal of Cancer. 144(11). 2683–2694. 41 indexed citations
7.
Penkert, Judith, Tim Ripperger, Maximilian Schieck, et al.. (2016). On metabolic reprogramming and tumor biology: A comprehensive survey of metabolism in breast cancer. Oncotarget. 7(41). 67626–67649. 46 indexed citations
8.
Penkert, Judith, Brigitte Schlegelberger, Doris Steinemann, & Dorothea Gadzicki. (2012). No evidence for breast cancer susceptibility associated with variants of BRD7, a component of p53 and BRCA1 pathways. Familial Cancer. 11(4). 601–606. 10 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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