Gudrun Pahlke

1.7k total citations
30 papers, 1.3k citations indexed

About

Gudrun Pahlke is a scholar working on Molecular Biology, Biochemistry and Organic Chemistry. According to data from OpenAlex, Gudrun Pahlke has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 13 papers in Biochemistry and 9 papers in Organic Chemistry. Recurrent topics in Gudrun Pahlke's work include Phytochemicals and Antioxidant Activities (13 papers), Genomics, phytochemicals, and oxidative stress (8 papers) and Phosphodiesterase function and regulation (6 papers). Gudrun Pahlke is often cited by papers focused on Phytochemicals and Antioxidant Activities (13 papers), Genomics, phytochemicals, and oxidative stress (8 papers) and Phosphodiesterase function and regulation (6 papers). Gudrun Pahlke collaborates with scholars based in Germany, Austria and United States. Gudrun Pahlke's co-authors include Doris Marko, Marco Conti, Melanie Kern, Nicole Teller, Thomas Hofmann, Jessica Fritz, Veronika Somoza, Markus Fehr, Ute Boettler and Roman Lang and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Agricultural and Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Gudrun Pahlke

30 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gudrun Pahlke Germany 19 664 309 306 290 133 30 1.3k
Young‐Kyoon Kim South Korea 25 621 0.9× 204 0.7× 510 1.7× 204 0.7× 89 0.7× 69 1.6k
E. Bombardelli Italy 20 387 0.6× 301 1.0× 310 1.0× 156 0.5× 124 0.9× 40 1.4k
Makoto Inoue Japan 19 549 0.8× 186 0.6× 201 0.7× 249 0.9× 94 0.7× 76 1.1k
Yih‐Shou Hsieh Taiwan 19 599 0.9× 285 0.9× 224 0.7× 274 0.9× 44 0.3× 35 1.4k
Fumihide Takano Japan 23 459 0.7× 164 0.5× 367 1.2× 194 0.7× 94 0.7× 58 1.3k
Hyun Lim South Korea 24 870 1.3× 139 0.4× 307 1.0× 402 1.4× 78 0.6× 54 1.7k
Amin Ardestani Germany 21 724 1.1× 419 1.4× 500 1.6× 102 0.4× 58 0.4× 43 2.1k
Yuqing Jian China 21 653 1.0× 131 0.4× 391 1.3× 166 0.6× 84 0.6× 64 1.3k
Ivana Stojanović Serbia 23 409 0.6× 230 0.7× 244 0.8× 203 0.7× 58 0.4× 79 1.7k
Dae Joong Kim South Korea 20 474 0.7× 208 0.7× 337 1.1× 75 0.3× 68 0.5× 46 1.3k

Countries citing papers authored by Gudrun Pahlke

Since Specialization
Citations

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

Fields of papers citing papers by Gudrun Pahlke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gudrun Pahlke

This figure shows the co-authorship network connecting the top 25 collaborators of Gudrun Pahlke. A scholar is included among the top collaborators of Gudrun Pahlke 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 Gudrun Pahlke. Gudrun Pahlke 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
1.
2.
Will, Frank, et al.. (2023). In Vitro Inhibitory Potential of Different Anthocyanin-Rich Berry Extracts in Murine CT26 Colon Cancer Cells. Molecules. 28(23). 7684–7684. 6 indexed citations
3.
Pahlke, Gudrun, et al.. (2021). Antioxidant Effects of Elderberry Anthocyanins in Human Colon Carcinoma Cells: A Study on Structure–Activity Relationships. Molecular Nutrition & Food Research. 65(17). e2100229–e2100229. 18 indexed citations
4.
5.
Pahlke, Gudrun, et al.. (2019). Dark coffee consumption protects human blood cells from spontaneous DNA damage. Journal of Functional Foods. 55. 285–295. 9 indexed citations
6.
Gehrke, Helge, et al.. (2013). Role of topoisomerase inhibition and DNA repair mechanisms in the genotoxicity of alternariol and altertoxin-II. World Mycotoxin Journal. 6(3). 233–244. 28 indexed citations
7.
Boettler, Ute, Gudrun Pahlke, Nicole Teller, et al.. (2011). Coffees rich in chlorogenic acid or N‐methylpyridinium induce chemopreventive phase II‐enzymes via the Nrf2/ARE pathway in vitro and in vivo. Molecular Nutrition & Food Research. 55(5). 798–802. 65 indexed citations
8.
Fehr, Markus, Simone A. Baechler, Christian Mielke, et al.. (2010). Repair of DNA damage induced by the mycotoxin alternariol involves tyrosyl-DNA phosphodiesterase 1. Mycotoxin Research. 26(4). 247–256. 17 indexed citations
9.
Boettler, Ute, Gudrun Pahlke, Nicole Teller, et al.. (2010). Coffee constituents as modulators of Nrf2 nuclear translocation and ARE (EpRE)-dependent gene expression. The Journal of Nutritional Biochemistry. 22(5). 426–440. 182 indexed citations
10.
Teller, Nicole, et al.. (2008). Comparison of delphinidin, quercetin and (–)‐epigallocatechin‐3‐gallate as inhibitors of the EGFR and the ErbB2 receptor phosphorylation. Molecular Nutrition & Food Research. 52(7). 815–822. 45 indexed citations
11.
Fehr, Markus, Gudrun Pahlke, Jessica Fritz, et al.. (2008). Alternariol acts as a topoisomerase poison, preferentially affecting the IIα isoform. Molecular Nutrition & Food Research. 53(4). 441–451. 163 indexed citations
12.
13.
Kern, Melanie, et al.. (2007). The epidermal growth factor receptor and human topoisomerases represent potential cellular targets of oligomeric procyanidins. Molecular Nutrition & Food Research. 51(2). 192–200. 19 indexed citations
14.
Kern, Melanie, et al.. (2007). Apple polyphenols diminish the phosphorylation of the epidermal growth factor receptor in HT29 colon carcinoma cells. Molecular Nutrition & Food Research. 51(5). 594–601. 23 indexed citations
15.
Kern, Melanie, et al.. (2005). Inhibitors of the epidermal growth factor receptor in apple juice extract. Molecular Nutrition & Food Research. 49(4). 317–328. 61 indexed citations
16.
Vatter, Sandra, Gudrun Pahlke, Joachim W. Deitmer, & Gerhard Eisenbrand. (2005). Differential phosphodiesterase expression and cytosolic Ca2+ in human CNS tumour cells and in non‐malignant and malignant cells of rat origin. Journal of Neurochemistry. 93(2). 321–329. 8 indexed citations
17.
Marko, Doris, et al.. (2004). The substitution pattern of anthocyanidins affects different cellular signaling cascades regulating cell proliferation. Molecular Nutrition & Food Research. 48(4). 318–325. 84 indexed citations
18.
Verde, Ignácio, Gudrun Pahlke, Michele Salanova, et al.. (2001). Myomegalin Is a Novel Protein of the Golgi/Centrosome That Interacts with a Cyclic Nucleotide Phosphodiesterase. Journal of Biological Chemistry. 276(14). 11189–11198. 171 indexed citations
19.
Lim, Jaeseung, Gudrun Pahlke, & Marco Conti. (1999). Activation of the cAMP-specific Phosphodiesterase PDE4D3 by Phosphorylation. Journal of Biological Chemistry. 274(28). 19677–19685. 75 indexed citations
20.
Schwarz, W. & Gudrun Pahlke. (1953). [Electron-microscopical studies on intercellular substance of human bone marrow].. PubMed. 38(5). 475–87. 25 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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