Wiebke Werft

1.4k total citations
17 papers, 580 citations indexed

About

Wiebke Werft is a scholar working on Molecular Biology, Oncology and Statistics and Probability. According to data from OpenAlex, Wiebke Werft has authored 17 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Statistics and Probability. Recurrent topics in Wiebke Werft's work include Pancreatic and Hepatic Oncology Research (4 papers), Genomic variations and chromosomal abnormalities (3 papers) and Statistical Methods and Bayesian Inference (2 papers). Wiebke Werft is often cited by papers focused on Pancreatic and Hepatic Oncology Research (4 papers), Genomic variations and chromosomal abnormalities (3 papers) and Statistical Methods and Bayesian Inference (2 papers). Wiebke Werft collaborates with scholars based in Germany, United Kingdom and United States. Wiebke Werft's co-authors include Axel Benner, Peter Lichter, Grischa Toedt, Natália Becker, Andreas E. Kulozik, Stefan M. Pfister, Andrea Wittmann, Marc Remke, Stefan Rutkowski and Andrey Korshunov and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Bioinformatics.

In The Last Decade

Wiebke Werft

17 papers receiving 571 citations

Peers

Countries citing papers authored by Wiebke Werft

Since Specialization

Citations

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

Fields of papers citing papers by Wiebke Werft

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wiebke Werft

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

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	Metastatic Acinar Cell Carcinoma of the Pancreas 2021 ·Pancreas ·(unknown), Wiebke Werft, Nina Bougatf, Thilo Hackert, Dirk Jäger, Christoph Springfeld, Anne Berger	5
2	High prevalence of incidental and symptomatic venous thromboembolic events in patients with advanced pancreatic cancer under palliative chemotherapy: A retrospective cohort study 2017 ·Pancreatology ·Anne Berger, (unknown), Wiebke Werft, Alexander Muckenhuber, Martin R. Sprick, Andreas Trumpp, Wilko Weichert, Dirk Jäger, Christoph Springfeld	16
3	A Comprehensive MicroRNA Expression Profile of Liver and Lung Metastases of Colorectal Cancer with Their Corresponding Host Tissue and Its Prognostic Impact on Survival 2016 ·International Journal of Molecular Sciences ·Mathieu Pecqueux, (unknown), Wiebke Werft, Hendrik Dienemann, Thomas Muley, Joachim Pfannschmidt, Benjamin Müssle, Nuh N. Rahbari, Sebastian Schölch, Markus Büchler, Jürgen Weitz, Christoph Reißfelder, Christoph Kahlert	18
4	Mismatch Repair-Deficient Crypt Foci in Lynch Syndrome – Molecular Alterations and Association with Clinical Parameters 2015 ·PLoS ONE ·(unknown), Fabian Echterdiek, (unknown), Axel Benner, Wiebke Werft, Bernd Lahrmann, Niels Grabe, Martin Schneider, Mirjam Tariverdian, Magnus von Knebel Doeberitz, Hendrik Bläker, Matthias Kloor	49
5	Phenotypic differentiation does not affect tumorigenicity of primary human colon cancer initiating cells 2015 ·Cancer Letters ·Taronish D. Dubash, Christopher M. Hoffmann, Felix Oppel, (unknown), Sarah Weber, Sebastian M. Dieter, Jennifer Hüllein, Thorsten Zenz, Friederike Herbst, Claudia Scholl, Wilko Weichert, Wiebke Werft, Axel Benner, Manfred Schmidt, Martin Schneider, Hanno Glimm, Claudia R. Ball	8
6	FGFR4 Arg388 genotype is associated with pathological complete response to neoadjuvant chemotherapy for primary breast cancer 2010 ·Annals of Oncology ·Frederik Marmé, Wiebke Werft, Axel Benner, Barbara Burwinkel, Hans‐Peter Sinn, Christof Sohn, Peter Lichter, Meinhard Hahn, Andreas Schneeweiß	28
7	Soluble iC3b as an Early Marker for Pancreatic Adenocarcinoma Is Superior to CA19.9 and Radiology 2010 ·Journal of Immunotherapy ·Angela Märten, Markus W. Büchler, Wiebke Werft, Moritz N. Wente, Michael Kirschfink, Jan Schmidt	21
8	On the prognostic value of survival models with application to gene expression signatures 2010 ·Statistics in Medicine ·Thomas Hielscher, Manuela Zucknick, Wiebke Werft, Axel Benner	31
9	Adult and Pediatric Medulloblastomas Are Genetically Distinct and Require Different Algorithms for Molecular Risk Stratification 2010 ·Journal of Clinical Oncology ·Andrey Korshunov, Marc Remke, Wiebke Werft, Axel Benner, Marina Ryzhova, Hendrik Witt, Dominik Sturm, Andrea Wittmann, A Schöttler, Jörg Felsberg, Guido Reifenberger, Stefan Rutkowski, Wolfram Scheurlen, Andreas E. Kulozik, Andreas von Deimling, Peter Lichter, Stefan M. Pfister	102
10	glmperm: A Permutation of Regressor Residuals Test for Inference in Generalized Linear Models 2010 ·The R Journal ·Wiebke Werft, Axel Benner	15
11	On the identification of predictive biomarkers: Detecting treatment-by-gene interaction in high-dimensional data 2010 ·Computational Statistics & Data Analysis ·Wiebke Werft, Axel Benner, Annette Kopp‐Schneider	6
12	µTOSS - Multiple hypothesis testing in an open software system. 2010 ·Gilles Blanchard, Thorsten Dickhaus, (unknown), Frank Konietschke, (unknown), Jonathan D. Rosenblatt, Marsel Scheer, Wiebke Werft	6
13	penalizedSVM: a R-package for feature selection SVM classification 2009 ·Bioinformatics ·Natália Becker, Wiebke Werft, Grischa Toedt, Peter Lichter, Axel Benner	65
14	High-resolution genomic profiling of childhood T-ALL reveals frequent copy-number alterations affecting the TGF-β and PI3K-AKT pathways and deletions at 6q15-16.1 as a genomic marker for unfavorable early treatment response 2009 ·Blood ·Marc Remke, Stefan M. Pfister, Corinne Kox, Grischa Toedt, Natália Becker, Axel Benner, Wiebke Werft, Stephen Breit, Shuangyou Liu, Felix B. Engel, Andrea Wittmann, Martin Zimmermann, Martin Stanulla, Martin Schrappe, Wolf-Dieter Ludwig, Claus R. Bartram, Bernhard Radlwimmer, Martina U. Muckenthaler, Peter Lichter, Andreas E. Kulozik	85
15	Off-target effects of siRNA specific for GFP 2008 ·BMC Molecular Biology ·Cordula Tschuch, Angela Schulz, Armin Pscherer, Wiebke Werft, Axel Benner, Agnes Hotz‐Wagenblatt, (unknown), Peter Lichter, Daniel Mertens	70
16	Supratentorial primitive neuroectodermal tumors of the central nervous system frequently harbor deletions of the CDKN2A locus and other genomic aberrations distinct from medulloblastomas 2007 ·Genes Chromosomes and Cancer ·Stefan M. Pfister, Marc Remke, Grischa Toedt, Wiebke Werft, Axel Benner, Frank Mendrzyk, Andrea Wittmann, Frauke Devens, Katja von Hoff, Stefan Rutkowski, Andreas E. Kulozik, Bernhard Radlwimmer, Wolfram Scheurlen, Peter Lichter, Andrey Korshunov	53
17	Data Gold Mining: MIDAS and Journey Time Predictors 2005 ·Significance ·Richard Gibbens, Wiebke Werft	2

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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