Christian Vay

822 total citations
14 papers, 468 citations indexed

About

Christian Vay is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Christian Vay has authored 14 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 6 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Christian Vay's work include Cancer Cells and Metastasis (5 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Cancer Genomics and Diagnostics (3 papers). Christian Vay is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Cancer Genomics and Diagnostics (3 papers). Christian Vay collaborates with scholars based in Germany. Christian Vay's co-authors include Nikolas H. Stoecklein, Wolfram Trudo Knoefel, Christoph A. Klein, Jakob R. Izbicki, Stefan B. Hosch, P. Scheunemann, Daniel Vallböhmer, Claudia Hartmann, Martin Bezler and Uta Reichelt and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Christian Vay

14 papers receiving 463 citations

Peers

Christian Vay
Christian Vay
Citations per year, relative to Christian Vay Christian Vay (= 1×) peers George Koutsodontis

Countries citing papers authored by Christian Vay

Since Specialization
Citations

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

Fields of papers citing papers by Christian Vay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Vay

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

All Works

14 of 14 papers shown
1.
Vay, Christian, Levent Dizdar, Alexander Rehders, et al.. (2022). Clinicopathological and Prognostic Value of Survivin Expression in Surgically Resected Pancreatic Ductal Adenocarcinoma. Cancers. 14(14). 3494–3494. 5 indexed citations
2.
Alexander, A., Stephen Fung, Martin Eichler, et al.. (2022). Quality of Life in Patients with Pancreatic Cancer before and during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health. 19(6). 3731–3731. 8 indexed citations
3.
Vay, Christian, Levent Dizdar, Iréne Esposito, et al.. (2021). Targeting abundant survivin expression in liposarcoma: subtype dependent therapy responses to YM155 treatment. Journal of Cancer Research and Clinical Oncology. 148(3). 633–645. 3 indexed citations
4.
Martin, Ole, Johannes Boos, Joel Aissa, et al.. (2020). Impact of different iterative metal artifact reduction (iMAR) algorithms on PET/CT attenuation correction after port implementation. European Journal of Radiology. 129. 109065–109065. 4 indexed citations
5.
Schumacher, Sarah, Christoph Bartenhagen, Martin Hoffmann, et al.. (2017). Disseminated tumour cells with highly aberrant genomes are linked to poor prognosis in operable oesophageal adenocarcinoma. British Journal of Cancer. 117(5). 725–733. 16 indexed citations
7.
Vay, Christian, Stefan B. Hosch, Nikolas H. Stoecklein, et al.. (2014). Integrin Expression in Esophageal Squamous Cell Carcinoma: Loss of the Physiological Integrin Expression Pattern Correlates with Disease Progression. PLoS ONE. 9(11). e109026–e109026. 22 indexed citations
8.
Driemel, Christiane, Sarah Schumacher, Brigitte Mack, et al.. (2013). Context-dependent adaption of EpCAM expression in early systemic esophageal cancer. Oncogene. 33(41). 4904–4915. 75 indexed citations
9.
Vallböhmer, Daniel, Helene Geddert, Andreas Krieg, et al.. (2013). High EpCAM expression is linked to proliferation and lauren classification in gastric cancer. BMC Research Notes. 6(1). 253–253. 27 indexed citations
10.
Fluegen, Georg, Stephan Baldus, Christian Vay, et al.. (2012). Down-Regulation of CDH1 Is Associated with Expression of SNAI1 in Colorectal Adenomas. PLoS ONE. 7(9). e46665–e46665. 51 indexed citations
11.
Stoecklein, Nikolas H., Dieter Niederacher, Stefan A. Topp, et al.. (2012). Effect of leukapheresis on efficient CTC enrichment for comprehensive molecular characterization and clinical diagnostics.. Journal of Clinical Oncology. 30(15_suppl). e21020–e21020. 2 indexed citations
12.
Stoecklein, Nikolas H., Stefan B. Hosch, Martin Bezler, et al.. (2008). Direct Genetic Analysis of Single Disseminated Cancer Cells for Prediction of Outcome and Therapy Selection in Esophageal Cancer. Cancer Cell. 13(5). 441–453. 162 indexed citations
13.
Fuhrmann, Christine, Oleg Schmidt‐Kittler, Nikolas H. Stoecklein, et al.. (2008). High-resolution array comparative genomic hybridization of single micrometastatic tumor cells. Nucleic Acids Research. 36(7). e39–e39. 45 indexed citations
14.
Sienel, Wulf, Bernhard Polzer, Michael Lindner, et al.. (2008). Cellular localization of EMMPRIN predicts prognosis of patients with operable lung adenocarcinoma independent from MMP-2 and MMP-9. Modern Pathology. 21(9). 1130–1138. 44 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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