Eberhard Korsching

2.5k total citations
66 papers, 1.8k citations indexed

About

Eberhard Korsching is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Eberhard Korsching has authored 66 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 27 papers in Cancer Research and 16 papers in Oncology. Recurrent topics in Eberhard Korsching's work include Genomics and Chromatin Dynamics (9 papers), Sarcoma Diagnosis and Treatment (9 papers) and Cancer Genomics and Diagnostics (8 papers). Eberhard Korsching is often cited by papers focused on Genomics and Chromatin Dynamics (9 papers), Sarcoma Diagnosis and Treatment (9 papers) and Cancer Genomics and Diagnostics (8 papers). Eberhard Korsching collaborates with scholars based in Germany, Netherlands and Switzerland. Eberhard Korsching's co-authors include Horst Buerger, Werner Boecker, P. J. van Diest, Burkhard Brandt, Jens Packeisen, Anne‐Marie Cleton-Jansen, D. Hungermann, Nicholas A. Athanasou, Helen J. Knowles and Thomas Decker and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Eberhard Korsching

64 papers receiving 1.8k citations

Peers

Eberhard Korsching
María Ángeles López‐García Spain
Kalliopi P. Siziopikou United States
Ji Shin Lee South Korea
Cathy B. Moelans Netherlands
Thomas Botton France
Friedrich Otterbach Germany
Gregory R. Bean United States
Tuula Kuukasjärvi Finland
Nikita Makretsov Canada
Karin D. Berg United States
María Ángeles López‐García Spain
Eberhard Korsching
Citations per year, relative to Eberhard Korsching Eberhard Korsching (= 1×) peers María Ángeles López‐García

Countries citing papers authored by Eberhard Korsching

Since Specialization
Citations

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

Fields of papers citing papers by Eberhard Korsching

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eberhard Korsching

This figure shows the co-authorship network connecting the top 25 collaborators of Eberhard Korsching. A scholar is included among the top collaborators of Eberhard Korsching 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 Eberhard Korsching. Eberhard Korsching 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.
Tang, Yiqun, Nageswara Rao Boggavarapu, Maire Peters, et al.. (2024). miR-193b-5p and miR-374b-5p Are Aberrantly Expressed in Endometriosis and Suppress Endometrial Cell Migration In Vitro. Biomolecules. 14(11). 1400–1400. 2 indexed citations
3.
Schaefer, Christiane, Jochen Seggewiß, Heymut Omran, et al.. (2018). Target discovery screens using pooled shRNA libraries and next-generation sequencing: A model workflow and analytical algorithm. PLoS ONE. 13(1). e0191570–e0191570. 9 indexed citations
4.
Frohwitter, Gesche, Horst Buerger, Eberhard Korsching, et al.. (2017). Site-specific gene expression patterns in oral cancer. Head & Face Medicine. 13(1). 6–6. 22 indexed citations
5.
Frohwitter, Gesche, Horst Buerger, P. J. van Diest, et al.. (2016). Cytokeratin and protein expression patterns in squamous cell carcinoma of the oral cavity provide evidence for two distinct pathogenetic pathways. Oncology Letters. 12(1). 107–113. 29 indexed citations
6.
Potratz, Jenny, Philipp Berning, Eberhard Korsching, et al.. (2015). Receptor tyrosine kinase gene expression profiles of Ewing sarcomas reveal ROR1 as a potential therapeutic target in metastatic disease. Molecular Oncology. 10(5). 677–692. 37 indexed citations
7.
Bürger, Horst, et al.. (2013). Chromosome 16q loss--a genetic key to the understanding of breast carcinogenesis.. PubMed. 28(3). 311–20. 14 indexed citations
8.
Korsching, Eberhard, et al.. (2013). Analyzing the basic principles of tissue microarray data measuring the cooperative phenomena of marker proteins in invasive breast cancer. JuSER (Forschungszentrum Jülich). 5 indexed citations
9.
Smida, Jan, et al.. (2013). How MicroRNA and Transcription Factor Co-regulatory Networks Affect Osteosarcoma Cell Proliferation. PLoS Computational Biology. 9(8). e1003210–e1003210. 59 indexed citations
10.
Hohoff, Christa, Ali Gorji, Sylvia Kaiser, et al.. (2013). Effect of Acute Stressor and Serotonin Transporter Genotype on Amygdala First Wave Transcriptome in Mice. PLoS ONE. 8(3). e58880–e58880. 11 indexed citations
11.
Buerger, Horst, et al.. (2012). Is there ‘progression through grade’ in ductal invasive breast cancer?. Breast Cancer Research and Treatment. 135(3). 693–703. 15 indexed citations
12.
Boecker, Werner, Michael Reusch, Horst Buerger, et al.. (2012). Origin and differentiation of breast nipple syringoma. Scientific Reports. 2(1). 226–226. 7 indexed citations
13.
Hungermann, D., H Schmidt, Rachael Natrajan, et al.. (2011). Influence of whole arm loss of chromosome 16q on gene expression patterns in oestrogen receptor‐positive, invasive breast cancer. The Journal of Pathology. 224(4). 517–528. 27 indexed citations
14.
Weigel, Stefanie, Thomas Decker, Eberhard Korsching, et al.. (2011). Minimal Invasive Biopsy Results of ”Uncertain Malignant Potential” in Digital Mammography Screening: High Prevalence but also High Predictive Value for Malignancy. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 183(8). 743–748. 16 indexed citations
15.
Agelopoulos, Konstantin, Burkhard Greve, Hartmut Schmidt, et al.. (2010). Selective regain of egfr gene copies in CD44+/CD24-/lowbreast cancer cellular model MDA-MB-468. BMC Cancer. 10(1). 78–78. 19 indexed citations
16.
Liedtke, Cornelia, Jens Packeisen, H Schmidt, et al.. (2006). In vitro chemosensitivity testing in invasive breast cancer: Increased sensitivity of the basal subtype is not independent of the tumor proliferation rate. Clinical Cancer Research. 12. 1 indexed citations
17.
Kemming, Dirk, U Vogt, Nicola Tidow, et al.. (2006). Whole Genome Expression Analysis for Biologic Rational Pathway Modeling. Molecular Diagnosis & Therapy. 10(5). 271–280. 8 indexed citations
18.
Klebig, Christiane, Susanne Seitz, Eberhard Korsching, et al.. (2005). Profile of differentially expressed genes after transfer of chromosome 17 into the breast cancer cell line CAl51. Genes Chromosomes and Cancer. 44(3). 233–246. 9 indexed citations
19.
Schaefer, Karl‐Ludwig, Daniel Wai, Yvonne Braun, et al.. (2004). Expression Profiling of t(12;22) Positive Clear Cell Sarcoma of Soft Tissue Cell Lines Reveals Characteristic Up-Regulation of Potential New Marker Genes Including ERBB3 . Cancer Research. 64(10). 3395–3405. 56 indexed citations
20.
Korsching, Eberhard, Jens Packeisen, Konstantin Agelopoulos, et al.. (2002). Cytogenetic Alterations and Cytokeratin Expression Patterns in Breast Cancer: Integrating a New Model of Breast Differentiation into Cytogenetic Pathways of Breast Carcinogenesis. Laboratory Investigation. 82(11). 1525–1533. 208 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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