Irmi Wiest

406 total citations
20 papers, 338 citations indexed

About

Irmi Wiest is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Irmi Wiest has authored 20 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Immunology and 4 papers in Surgery. Recurrent topics in Irmi Wiest's work include Glycosylation and Glycoproteins Research (8 papers), Galectins and Cancer Biology (7 papers) and Cancer Research and Treatments (3 papers). Irmi Wiest is often cited by papers focused on Glycosylation and Glycoproteins Research (8 papers), Galectins and Cancer Biology (7 papers) and Cancer Research and Treatments (3 papers). Irmi Wiest collaborates with scholars based in Germany. Irmi Wiest's co-authors include Udo Jeschke, Klaus Friese, Sandra Schulze, Christina Kühn, Hermann Walzel, Doris Mayr, Christoph Alexiou, Uwe Karsten, Christina Janko and Bernd Kost and has published in prestigious journals such as International Journal of Molecular Sciences, BMC Cancer and Histochemistry and Cell Biology.

In The Last Decade

Irmi Wiest

20 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Irmi Wiest Germany 12 166 161 64 57 40 20 338
Funian Lu China 13 52 0.3× 197 1.2× 117 1.8× 37 0.6× 41 1.0× 19 359
Nasim Kheshtchin Iran 9 255 1.5× 189 1.2× 151 2.4× 18 0.3× 23 0.6× 16 479
Stephanie Gomez United States 7 128 0.8× 336 2.1× 129 2.0× 56 1.0× 33 0.8× 10 517
Rachel J. Quin Australia 8 140 0.8× 271 1.7× 65 1.0× 28 0.5× 13 0.3× 15 365
María Tristán‐Manzano Spain 11 73 0.4× 163 1.0× 82 1.3× 19 0.3× 29 0.7× 20 318
Daniel Y. Paik United States 9 68 0.4× 140 0.9× 107 1.7× 143 2.5× 12 0.3× 11 350
Lorenzo Alonso-Carrión Spain 6 104 0.6× 101 0.6× 100 1.6× 42 0.7× 15 0.4× 12 295
Wade M. Junker United States 9 76 0.5× 282 1.8× 160 2.5× 18 0.3× 35 0.9× 15 469
Josephine Walton United Kingdom 5 177 1.1× 180 1.1× 248 3.9× 57 1.0× 14 0.3× 10 432
Hanzhen Xiong China 11 214 1.3× 295 1.8× 253 4.0× 33 0.6× 26 0.7× 27 606

Countries citing papers authored by Irmi Wiest

Since Specialization
Citations

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).

Fields of papers citing papers by Irmi Wiest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

All Works

20 of 20 papers shown
1.
Kühn, Christina, Sandra Schulze, Doris Mayr, et al.. (2017). The involvement of E6, p53, p16, MDM2 and Gal-3 in the clinical outcome of patients with cervical cancer. Oncology Letters. 14(4). 4467–4476. 29 indexed citations
2.
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
5.
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
8.
Wiest, Irmi & Christoph Alexiou. (2016). Clinical Evaluation of Mucin-1 (MUC1) and P16 in Laryngeal Cancer. 6(4). 1 indexed citations
9.
Pöttler, Marina, Jan Zaloga, Harald Unterweger, et al.. (2015). Genotoxicity of Superparamagnetic Iron Oxide Nanoparticles in Granulosa Cells. International Journal of Molecular Sciences. 16(11). 26280–26290. 20 indexed citations
10.
Dian, Darius, et al.. (2014). Significance of the tumor protease cathepsin D for the biology of breast cancer.. PubMed. 29(4). 433–8. 16 indexed citations
11.
Dian, Darius, Miriam Lenhard, Doris Mayr, et al.. (2013). Staining of MUC1 in ovarian cancer tissues with PankoMab-GEX detecting the tumour-associated epitope, TA-MUC1, as compared to antibodies HMFG-1 and 115D8.. PubMed. 28(2). 239–44. 19 indexed citations
12.
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
14.
Kupka, M., Christian J. Thaler, Irmi Wiest, et al.. (2011). Induction of G protein-coupled estrogen receptor (GPER) and nuclear steroid hormone receptors by gonadotropins in human granulosa cells. Histochemistry and Cell Biology. 136(3). 289–299. 31 indexed citations
15.
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
18.
Jeschke, Udo, Uwe Karsten, Irmi Wiest, et al.. (2006). Binding of galectin-1 (gal-1) to the Thomsen–Friedenreich (TF) antigen on trophoblast cells and inhibition of proliferation of trophoblast tumor cells in vitro by gal-1 or an anti-TF antibody. Histochemistry and Cell Biology. 126(4). 437–444. 54 indexed citations
19.
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
20.
Jeschke, Udo, Toralf Reimer, Claudia Bergemann, et al.. (2004). Binding of galectin-1 (gal-1) on trophoblast cells and inhibition of hormone production of trophoblast tumor cells in vitro by gal-1. Histochemistry and Cell Biology. 121(6). 501–8. 34 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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