This map shows the geographic impact of Irmi Wiest'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 Irmi Wiest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irmi Wiest more than expected).
This network shows the impact of papers produced by Irmi Wiest. 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 Irmi Wiest. The network helps show where Irmi Wiest may publish in the future.
Co-authorship network of co-authors of Irmi Wiest
This figure shows the co-authorship network connecting the top 25 collaborators of Irmi Wiest.
A scholar is included among the top collaborators of Irmi Wiest 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 Irmi Wiest. Irmi Wiest is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kühn, Christina, Doris Mayr, Christoph Alexiou, et al.. (2016). Immunohistochemical Evaluation of E6/E7 HPV Oncoproteins Staining in Cervical Cancer.. PubMed. 36(6). 3195–8.23 indexed citations
3.
Tübel, Jutta, Lara Kuntz, Andreas Schmitt, et al.. (2016). Methylation of the ER-alpha Promoter Is Influenced by its Ligand Estrogen in Osteosarcoma Cells SAOS-2 In Vitro.. PubMed. 36(6). 3199–204.5 indexed citations
Pöttler, Marina, Simone Hofmann, Stephan Dürr, et al.. (2016). Effect of BSA-coated Superparamagnetic Iron Oxide Nanoparticles on Granulosa Cells.. PubMed. 36(6). 3147–54.6 indexed citations
6.
Kühn, Christina, Doris Mayr, Christoph Alexiou, et al.. (2016). Immunohistochemical Evaluation of the Role of p53 Mutation in Cervical Cancer: Ser-20 p53-Mutant Correlates with Better Prognosis.. PubMed. 36(6). 3131–7.19 indexed citations
7.
Wiest, Irmi, Christoph Alexiou, Klaus Friese, et al.. (2016). Expression of the Tumor-associated Mucin 1 Epitope Analyzed with the Humanized PankoMab-GEX™ Antibody in Malignant and Normal Tissues of the Head and Neck.. PubMed. 36(6). 3179–84.3 indexed citations
Wiest, Irmi, Christoph Alexiou, Christina Kühn, et al.. (2012). Expression of different carbohydrate tumour markers and galectins 1 and 3 in normal squamous and malignant epithelia of the upper aaerodigestive tract.. PubMed. 32(5). 2023–9.4 indexed citations
13.
Jeschke, Udo, Irmi Wiest, M. Kupka, et al.. (2012). Determination of MUC1 in sera of ovarian cancer patients and in sera of patients with benign changes of the ovaries with CA15-3, CA27.29, and PankoMab.. PubMed. 32(5). 2185–9.18 indexed citations
Wiest, Irmi, Christoph Alexiou, Doris Mayr, et al.. (2010). Expression of the carbohydrate tumor marker Sialyl Lewis a (Ca19-9) in squamous cell carcinoma of the larynx.. PubMed. 30(5). 1849–53.5 indexed citations
16.
Schulze, Sandra, Christina Kühn, Irmi Wiest, et al.. (2007). Expression of inhibins in the endometrial carcinoma cell line RL-95-2 after stimulation with cortisol and estradiol.. PubMed. 27(4A). 1989–93.5 indexed citations
17.
Wiest, Irmi, Sandra Schulze, Christina Kühn, et al.. (2007). Expression of the carbohydrate tumour marker SLeX, SLeA (CA19-9), LeY and Thomsen-Friedenreich (TF) antigen on normal squamous epithelial tissue of the penis and vagina.. PubMed. 27(4A). 1981–8.6 indexed citations
Wiest, Irmi, Christian Seliger, Hermann Walzel, Klaus Friese, & Udo Jeschke. (2005). Induction of apoptosis in human breast cancer and trophoblast tumor cells by galectin-1.. PubMed. 25(3A). 1575–80.24 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.