Juergen Borlak

1.2k total citations
32 papers, 909 citations indexed

About

Juergen Borlak is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Juergen Borlak has authored 32 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Juergen Borlak's work include Congenital heart defects research (7 papers), Epigenetics and DNA Methylation (5 papers) and Molecular Biology Techniques and Applications (4 papers). Juergen Borlak is often cited by papers focused on Congenital heart defects research (7 papers), Epigenetics and DNA Methylation (5 papers) and Molecular Biology Techniques and Applications (4 papers). Juergen Borlak collaborates with scholars based in Germany, Italy and United States. Juergen Borlak's co-authors include Stella Marie Reamon-Buettner, Alberto Inga, Katharina Spanel‐Borowski, Hartmut Hecker, Yari Ciribilli, Norbert Knebel, Michael A. Resnick, Michela A. Denti, Mathias Locher and Valerio Del Vescovo and has published in prestigious journals such as PLoS ONE, Cancer Research and Human Molecular Genetics.

In The Last Decade

Juergen Borlak

32 papers receiving 894 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juergen Borlak Germany 18 668 269 161 153 115 32 909
Lewis Waber United States 14 552 0.8× 377 1.4× 60 0.4× 135 0.9× 54 0.5× 20 1.7k
Longjiang Shao United States 16 405 0.6× 63 0.2× 196 1.2× 75 0.5× 199 1.7× 24 834
Benjamin J. Madden United States 9 997 1.5× 91 0.3× 49 0.3× 281 1.8× 70 0.6× 21 1.2k
Indrika Ratnayaka United Kingdom 18 537 0.8× 116 0.4× 56 0.3× 81 0.5× 179 1.6× 23 1.0k
Pasquale Piccolo Italy 17 372 0.6× 169 0.6× 83 0.5× 259 1.7× 68 0.6× 39 1.1k
Zachary Oaks United States 15 390 0.6× 173 0.6× 28 0.2× 108 0.7× 85 0.7× 20 1.0k
Yaara Ber Israel 14 380 0.6× 309 1.1× 301 1.9× 70 0.5× 114 1.0× 34 883
M. Vijay Kumar United States 21 541 0.8× 47 0.2× 199 1.2× 213 1.4× 88 0.8× 25 917
Linda L. Pelleymounter United States 17 418 0.6× 65 0.2× 82 0.5× 275 1.8× 148 1.3× 26 972
J Turner United Kingdom 12 510 0.8× 164 0.6× 51 0.3× 152 1.0× 29 0.3× 16 797

Countries citing papers authored by Juergen Borlak

Since Specialization
Citations

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

Fields of papers citing papers by Juergen Borlak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juergen Borlak

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

All Works

20 of 20 papers shown
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Vescovo, Valerio Del, et al.. (2013). A Cross-Platform Comparison of Affymetrix and Agilent Microarrays Reveals Discordant miRNA Expression in Lung Tumors of c-Raf Transgenic Mice. PLoS ONE. 8(11). e78870–e78870. 39 indexed citations
3.
Spanel‐Borowski, Katharina, Marcin Nowicki, Juergen Borlak, Tom Trapphoff, & Ursula Eichenlaub-Ritter. (2012). Endoplasmic Reticulum-Derived Multilamellar Bodies in Oocytes of Mouse Follicle Cultures under Oxidized Low-Density Lipoprotein Treatment. Cells Tissues Organs. 197(1). 77–88. 2 indexed citations
4.
5.
Spanel, Reinhard, et al.. (2012). MYC‐regulated genes involved in liver cell dysplasia identified in a transgenic model of liver cancer. The Journal of Pathology. 228(4). 520–533. 29 indexed citations
6.
Reamon-Buettner, Stella Marie & Juergen Borlak. (2012). Dissecting Epigenetic Silencing Complexity in the Mouse Lung Cancer Suppressor Gene Cadm1. PLoS ONE. 7(6). e38531–e38531. 4 indexed citations
7.
Hueper, Katja, Florian Laenger, Roman Halter, et al.. (2012). PET/CT Imaging of c-Myc Transgenic Mice Identifies the Genotoxic N-Nitroso-Diethylamine as Carcinogen in a Short-Term Cancer Bioassay. PLoS ONE. 7(2). e30432–e30432. 8 indexed citations
8.
Garaguso, Ignazio & Juergen Borlak. (2012). A Rapid Screening Assay to Search for Phosphorylated Proteins in Tissue Extracts. PLoS ONE. 7(11). e50025–e50025. 1 indexed citations
9.
Borlak, Juergen, et al.. (2011). Correlation versus Causation? Pharmacovigilance of the Analgesic Flupirtine Exemplifies the Need for Refined Spontaneous ADR Reporting. PLoS ONE. 6(10). e25221–e25221. 28 indexed citations
10.
Weltmeier, Fridtjof & Juergen Borlak. (2011). A High Resolution Genome-Wide Scan of HNF4α Recognition Sites Infers a Regulatory Gene Network in Colon Cancer. PLoS ONE. 6(7). e21667–e21667. 14 indexed citations
11.
Rohrbeck, Astrid, Gabriela Salinas, Kerstin Maaser, et al.. (2010). Toxicogenomics Applied to In Vitro Carcinogenicity Testing with Balb/c 3T3 Cells Revealed a Gene Signature Predictive of Chemical Carcinogens. Toxicological Sciences. 118(1). 31–41. 26 indexed citations
12.
Lehner, Frank, et al.. (2010). Inhibition of the Liver Enriched Protein FOXA2 Recovers HNF6 Activity in Human Colon Carcinoma and Liver Hepatoma Cells. PLoS ONE. 5(10). e13344–e13344. 20 indexed citations
13.
Reamon-Buettner, Stella Marie, et al.. (2009). A functional genetic study identifies HAND1 mutations in septation defects of the human heart. Human Molecular Genetics. 18(19). 3567–3578. 54 indexed citations
14.
Reamon-Buettner, Stella Marie & Juergen Borlak. (2008). Epigenetic Silencing of Cell Adhesion Molecule 1 in Different Cancer Progenitor Cells of Transgenic c-Myc and c-Raf Mouse Lung Tumors. Cancer Research. 68(18). 7587–7596. 25 indexed citations
15.
Reymann, Susanne & Juergen Borlak. (2008). Topoisomerase II inhibition involves characteristic chromosomal expression patterns. BMC Genomics. 9(1). 324–324. 6 indexed citations
16.
Borlak, Juergen & Stella Marie Reamon-Buettner. (2006). N-acetyltransferase 2 (NAT2) gene polymorphisms in colon and lung cancer patients. BMC Medical Genetics. 7(1). 58–58. 43 indexed citations
17.
Borlak, Juergen & Stella Marie Reamon-Buettner. (2006). N-acetyltransferase 2 (NAT2) gene polymorphisms in Parkinson's disease. BMC Medical Genetics. 7(1). 30–30. 21 indexed citations
18.
Inga, Alberto, Stella Marie Reamon-Buettner, Juergen Borlak, & Michael A. Resnick. (2005). Functional dissection of sequence-specific NKX2-5 DNA binding domain mutations associated with human heart septation defects using a yeast-based system. Human Molecular Genetics. 14(14). 1965–1975. 30 indexed citations
19.
Reamon-Buettner, Stella Marie, et al.. (2004). Novel NKX2–5 Mutations in Diseased Heart Tissues of Patients with Cardiac Malformations. American Journal Of Pathology. 164(6). 2117–2125. 76 indexed citations
20.
Hermann, Róbert, et al.. (2003). Pharmacokinetic interaction between retigabine and lamotrigine in healthy subjects. European Journal of Clinical Pharmacology. 58(12). 795–802. 46 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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