Ines Wanke

665 total citations
9 papers, 459 citations indexed

About

Ines Wanke is a scholar working on Molecular Biology, Microbiology and Immunology. According to data from OpenAlex, Ines Wanke has authored 9 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Microbiology and 2 papers in Immunology. Recurrent topics in Ines Wanke's work include Antimicrobial Peptides and Activities (3 papers), Immune Response and Inflammation (2 papers) and Connexins and lens biology (2 papers). Ines Wanke is often cited by papers focused on Antimicrobial Peptides and Activities (3 papers), Immune Response and Inflammation (2 papers) and Connexins and lens biology (2 papers). Ines Wanke collaborates with scholars based in Germany, Switzerland and France. Ines Wanke's co-authors include Birgit Schittek, Martin Schaller, Friedrich Götz, Bernhard Krismer, Andreas Peschel, Michael Schwarz, Albrecht Buchmann, Hubert Kalbacher, Ulrich Wulbrand and Oliver Moennikes and has published in prestigious journals such as Journal of Biological Chemistry, Clinical Cancer Research and International Journal of Cancer.

In The Last Decade

Ines Wanke

9 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ines Wanke Germany 9 223 155 134 76 57 9 459
Katharina Bitschar Germany 8 263 1.2× 85 0.5× 54 0.4× 89 1.2× 31 0.5× 9 490
Marc C. Liggins United States 9 154 0.7× 243 1.6× 51 0.4× 92 1.2× 57 1.0× 10 524
Akiyuki Yamamoto Japan 14 203 0.9× 238 1.5× 40 0.3× 20 0.3× 87 1.5× 38 734
Harald Schwarz Austria 8 101 0.5× 59 0.4× 37 0.3× 209 2.8× 43 0.8× 12 385
Maren Paulmann Germany 11 119 0.5× 115 0.7× 157 1.2× 82 1.1× 28 0.5× 22 456
Alena Egyed Austria 7 130 0.6× 38 0.2× 51 0.4× 210 2.8× 28 0.5× 8 409
Johann Röhrl Germany 9 189 0.8× 35 0.2× 314 2.3× 289 3.8× 11 0.2× 16 529
George W. Agak United States 14 149 0.7× 502 3.2× 23 0.2× 143 1.9× 12 0.2× 32 757
Estelle Loing France 18 312 1.4× 79 0.5× 31 0.2× 285 3.8× 10 0.2× 39 683
Matthew Wickersham United States 6 242 1.1× 38 0.2× 41 0.3× 165 2.2× 7 0.1× 7 426

Countries citing papers authored by Ines Wanke

Since Specialization
Citations

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

Fields of papers citing papers by Ines Wanke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ines Wanke

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

All Works

9 of 9 papers shown
1.
Niessner, Heike, Tobias Sinnberg, Corinna Kosnopfel, et al.. (2017). BRAF Inhibitors Amplify the Proapoptotic Activity of MEK Inhibitors by Inducing ER Stress in NRAS-Mutant Melanoma. Clinical Cancer Research. 23(20). 6203–6214. 34 indexed citations
2.
Niessner, Heike, Corinna Kosnopfel, Tobias Sinnberg, et al.. (2017). Combined activity of temozolomide and the mTOR inhibitor temsirolimus in metastatic melanoma involves DKK1. Experimental Dermatology. 26(7). 598–606. 11 indexed citations
3.
Kempf, W., Gerd Klein, Andreas Maurer, et al.. (2014). Processing of Laminin α Chains Generates Peptides Involved in Wound Healing and Host Defense. Journal of Innate Immunity. 6(4). 467–484. 44 indexed citations
4.
Paulmann, Maren, Thomas Arnold, Dirk Linke, et al.. (2012). Structure-Activity Analysis of the Dermcidin-derived Peptide DCD-1L, an Anionic Antimicrobial Peptide Present in Human Sweat. Journal of Biological Chemistry. 287(11). 8434–8443. 88 indexed citations
5.
Wanke, Ines, Bernhard Krismer, Friedrich Götz, et al.. (2010). Skin Commensals Amplify the Innate Immune Response to Pathogens by Activation of Distinct Signaling Pathways. Journal of Investigative Dermatology. 131(2). 382–390. 220 indexed citations
6.
Hailfinger, Stephan, Maike Jaworski, Philip Marx‐Stoelting, Ines Wanke, & Michael Schwarz. (2007). Regulation of P53 stability in p53 mutated human and mouse hepatoma cells. International Journal of Cancer. 120(7). 1459–1464. 10 indexed citations
7.
Wanke, Ines, Michael Schwarz, & Albrecht Buchmann. (2004). Insulin and dexamethasone inhibit TGF-β-induced apoptosis of hepatoma cells upstream of the caspase activation cascade. Toxicology. 204(2-3). 141–154. 12 indexed citations
8.
Schwarz, Michael, Ines Wanke, Ulrich Wulbrand, Oliver Moennikes, & Albrecht Buchmann. (2003). Role of Connexin32 and beta-Catenin in Tumor Promotion in Mouse Liver. Toxicologic Pathology. 31(1). 99–102. 15 indexed citations
9.
Schwarz, Michael, Ines Wanke, Ulrich Wulbrand, Oliver Moennikes, & Albrecht Buchmann. (2003). Role of Connexin32 and β-Catenin in Tumor Promotion in Mouse Liver. Toxicologic Pathology. 31(1). 99–102. 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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