Susann Weissmueller

1.6k total citations · 1 hit paper
6 papers, 992 citations indexed

About

Susann Weissmueller is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Susann Weissmueller has authored 6 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in Susann Weissmueller's work include Pancreatic and Hepatic Oncology Research (2 papers), Cancer-related Molecular Pathways (2 papers) and Cancer Genomics and Diagnostics (2 papers). Susann Weissmueller is often cited by papers focused on Pancreatic and Hepatic Oncology Research (2 papers), Cancer-related Molecular Pathways (2 papers) and Cancer Genomics and Diagnostics (2 papers). Susann Weissmueller collaborates with scholars based in United States, Germany and United Kingdom. Susann Weissmueller's co-authors include Scott W. Lowe, John P. Morris, Eusebio Manchado, Thomas Kitzing, Amaia Lujambio, Elisa de Stanchina, Justin F. Gainor, Ryan B. Corcoran, Jeffrey A. Engelman and Charles M. Rudin and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Susann Weissmueller

6 papers receiving 978 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mutant p53 Drives Pancreatic Cancer Metastasis through Cell-Autonomous PDGF Receptor β Signaling

2014 362 citations Susann Weissmueller, Eusebio Manchado et al. Cell profile →

Peers

Countries citing papers authored by Susann Weissmueller

Since Specialization

Citations

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

Fields of papers citing papers by Susann Weissmueller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susann Weissmueller

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

All Works

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6 of 6 papers shown

#	Work	Indexed citations
1	p53-Dependent Nestin Regulation Links Tumor Suppression to Cellular Plasticity in Liver Cancer 2016 ·Cell ·Darjus F. Tschaharganeh, Wen Xue, Diego F. Calvisi, Matthias Evert, Tatyana V. Michurina, Lukas E. Dow, Ana Banito, (unknown), Edward R. Kastenhuber, Susann Weissmueller, Chun‐Hao Huang, André Lechel, Jesper B. Andersen, David Capper, Lars Zender, Thomas Longerich, Grigori Enikolopov, Scott W. Lowe	21
2	A combinatorial strategy for treating KRAS-mutant lung cancer 2016 ·Nature ·Eusebio Manchado, Susann Weissmueller, John P. Morris, Chi-Chao Chen, Ramona Wullenkord, Amaia Lujambio, Elisa de Stanchina, John T. Poirier, Justin F. Gainor, Ryan B. Corcoran, Jeffrey A. Engelman, Charles M. Rudin, Neal Rosen, Scott W. Lowe	294
3	Mutant p53 Drives Pancreatic Cancer Metastasis through Cell-Autonomous PDGF Receptor β Signaling breakdown → 2014 ·Cell ·Susann Weissmueller, Eusebio Manchado, Michael Saborowski, John P. Morris, Elvin Wagenblast, Carrie Davis, Sung‐Hwan Moon, Neil T. Pfister, Darjus F. Tschaharganeh, Thomas Kitzing, Daniela E. Aust, Elke Markert, Jianmin Wu, Sean M. Grimmond, Christian Pilarsky, Carol Prives, Andrew V. Biankin, Scott W. Lowe	362
4	Abstract C54: Pdgfrb is an essential mediator of p53(mut)-driven metastasis in pancreatic cancer 2013 ·Cancer Research ·Susann Weissmueller, Michael Saborowski, Eusebio Manchado, Vishal Thapar, Scott W. Lowe	1
5	A cluster of cooperating tumor-suppressor gene candidates in chromosomal deletions 2012 ·Proceedings of the National Academy of Sciences ·Wen Xue, Thomas Kitzing, Stéphanie Roessler, Johannes Zuber, Alexander Krasnitz, Nikolaus Schultz, Kate Revill, Susann Weissmueller, Amy Rappaport, Janelle Simon, Jack Zhang, Weijun Luo, James Hicks, Lars Zender, Xin Wei Wang, Scott Powers, Michael Wigler, Scott W. Lowe	107
6	An integrated approach to dissecting oncogene addiction implicates a Myb-coordinated self-renewal program as essential for leukemia maintenance 2011 ·Genes & Development ·Johannes Zuber, Amy Rappaport, Weijun Luo, Eric Wang, Chong Chen, Angelina V. Vaseva, Junwei Shi, Susann Weissmueller, (unknown), Meredith J. Taylor, (unknown), Thomas G. Graeber, Scott C. Kogan, Christopher R. Vakoc, Scott W. Lowe	207

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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