Sibylle Liebmann

545 total citations
10 papers, 444 citations indexed

About

Sibylle Liebmann is a scholar working on Oncology, Molecular Biology and Cell Biology. According to data from OpenAlex, Sibylle Liebmann has authored 10 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Sibylle Liebmann's work include Cancer Genomics and Diagnostics (3 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Sibylle Liebmann is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Sibylle Liebmann collaborates with scholars based in Germany, United States and Hong Kong. Sibylle Liebmann's co-authors include Andreas Jung, Thomas Kirchner, Jens Neumann, David Horst, Evelyn Zeindl‐Eberhart, Peter R. Jungblut, H. Rabes, Doris Mayer, Stephanie Lamer and Steffen Ormanns and has published in prestigious journals such as PLoS ONE, Hepatology and Annals of Oncology.

In The Last Decade

Sibylle Liebmann

10 papers receiving 437 citations

Peers

Sibylle Liebmann

ONCOL

MB

CR

PRM

CB

Micaela Montanari Italy

Jillian M. Silva United States

Jia Min Loo Singapore

Yuji Tai Japan

Adam Naguib United States

Umar Raza China

Thomas Frogne Denmark

Eugenio Zoni Switzerland

Georgia Agiostratidou Greece

Micaela Montanari Italy

Sibylle Liebmann

131 ×0.6

ONCOL

344 ×2.0

MB

155 ×1.0

CR

116 ×1.2

PRM

49 ×0.6

CB

Citations per year, relative to Sibylle Liebmann Sibylle Liebmann (= 1×) peers Micaela Montanari

Countries citing papers authored by Sibylle Liebmann

Since Specialization

Citations

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

Fields of papers citing papers by Sibylle Liebmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sibylle Liebmann

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

All Works

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10 of 10 papers shown

1.

Baumgarten, Louisa von, Jörg Kumbrink, Andreas Jung, et al.. (2019). Therapeutic management of neuro-oncologic patients - potential relevance of CSF liquid biopsy. Theranostics. 10(2). 856–866. 21 indexed citations

2.

Krüger, Stephan, Volker Heinemann, Frank Diehl, et al.. (2018). Repeated mutKRAS ctDNA measurements represent a novel and promising tool for early response prediction and therapy monitoring in advanced pancreatic cancer. Annals of Oncology. 29(12). 2348–2355. 116 indexed citations

3.

Krüger, Stephan, Volker Heinemann, Frank Diehl, et al.. (2018). Repeated mutKRAS ctDNA measurements in patients with advanced pancreatic cancer patients: Kinetics, response prediction and therapy monitoring in comparison to protein-based tumor markers. Annals of Oncology. 29. viii241–viii241. 1 indexed citations

4.

Zeindl‐Eberhart, Evelyn, Lydia Brandl, Sibylle Liebmann, et al.. (2014). Epithelial-Mesenchymal Transition Induces Endoplasmic-Reticulum-Stress Response in Human Colorectal Tumor Cells. PLoS ONE. 9(1). e87386–e87386. 21 indexed citations

5.

Schuster, Claudia, Katharina Malinowsky, Sibylle Liebmann, et al.. (2012). Antibody validation by combining immunohistochemistry and protein extraction from formalin‐fixed paraffin‐embedded tissues. Histopathology. 60(6B). E37–50. 16 indexed citations

6.

Zeindl‐Eberhart, Evelyn, Sibylle Liebmann, Peter R. Jungblut, et al.. (2010). Influence of RET/PTC1 and RET/PTC3 oncoproteins in radiation-induced papillary thyroid carcinomas on amounts of cytoskeletal protein species. Amino Acids. 41(2). 415–425. 7 indexed citations

7.

Horst, David, et al.. (2009). The cancer stem cell marker CD133 has high prognostic impact but unknown functional relevance for the metastasis of human colon cancer. The Journal of Pathology. 219(4). 427–434. 148 indexed citations

8.

Liebmann, Sibylle, et al.. (2006). Stem Cells and Experimental Leukemia Can Be Distinguished by Lipid Raft Protein Composition. Stem Cells and Development. 15(5). 677–686. 13 indexed citations

9.

Zeindl‐Eberhart, Evelyn, Sibylle Haraida, Sibylle Liebmann, et al.. (2004). Detection and identification of tumor-associated protein variants in human hepatocellular carcinomas. Hepatology. 39(2). 540–549. 86 indexed citations

10.

Pierson, M & Sibylle Liebmann. (1992). Noise exposure-induced audiogenic seizure susceptibility in Sprague-Dawley rats. Epilepsy Research. 13(1). 35–42. 15 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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