Susanne Hipp

1.6k total citations
22 papers, 1.2k citations indexed

About

Susanne Hipp is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Susanne Hipp has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 12 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Susanne Hipp's work include Chronic Lymphocytic Leukemia Research (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Advanced Biosensing Techniques and Applications (6 papers). Susanne Hipp is often cited by papers focused on Chronic Lymphocytic Leukemia Research (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Advanced Biosensing Techniques and Applications (6 papers). Susanne Hipp collaborates with scholars based in Germany, Austria and United States. Susanne Hipp's co-authors include Christian Peschel, Thomas Decker, Ingo Ringshausen, Christian Bogner, Folker Schneller, Karl‐Friedrich Becker, Justus Duyster, Heinz Höfler, Madlene Oelsner and Paul J. Adam and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Clinical Cancer Research.

In The Last Decade

Susanne Hipp

22 papers receiving 1.2k citations

Peers

Susanne Hipp
David Wisniewski United States
Yi Hua Qiu United States
Michael R. Burgess United States
Luc Van Rompaey Belgium
Yves Toiron France
Shao Ning Yang United States
Rosa I. Gallagher United States
Roustem Nabioullin Japan
Yoko Ueno Japan
Meaghan Wall Australia
David Wisniewski United States
Susanne Hipp
Citations per year, relative to Susanne Hipp Susanne Hipp (= 1×) peers David Wisniewski

Countries citing papers authored by Susanne Hipp

Since Specialization
Citations

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

Fields of papers citing papers by Susanne Hipp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanne Hipp

This figure shows the co-authorship network connecting the top 25 collaborators of Susanne Hipp. A scholar is included among the top collaborators of Susanne Hipp 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 Susanne Hipp. Susanne Hipp 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.
Auguste, Aurélie, Xiaoyun Liao, K. H. Bauer, et al.. (2022). A Novel B7-H6–Targeted IgG-Like T Cell–Engaging Antibody for the Treatment of Gastrointestinal Tumors. Clinical Cancer Research. 28(23). 5190–5201. 14 indexed citations
2.
Corrales, Leticia, Susanne Hipp, Nicolas Sabarth, et al.. (2022). LY6G6D is a selectively expressed colorectal cancer antigen that can be used for targeting a therapeutic T-cell response by a T-cell engager. Frontiers in Immunology. 13. 1008764–1008764. 8 indexed citations
3.
Hipp, Susanne, Vladimir Voynov, Barbara Drobits, et al.. (2020). A Bispecific DLL3/CD3 IgG-Like T-Cell Engaging Antibody Induces Antitumor Responses in Small Cell Lung Cancer. Clinical Cancer Research. 26(19). 5258–5268. 67 indexed citations
4.
Hipp, Susanne, YT Tai, Diann Blanset, et al.. (2016). A novel BCMA/CD3 bispecific T-cell engager for the treatment of multiple myeloma induces selective lysis in vitro and in vivo. Leukemia. 31(8). 1743–1751. 194 indexed citations
5.
6.
Hipp, Susanne, Daniela Berg, Tibor Schuster, et al.. (2010). Interaction of Snail and p38 mitogen-activated protein kinase results in shorter overall survival of ovarian cancer patients. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 457(6). 705–713. 28 indexed citations
7.
Malinowsky, Katharina, et al.. (2010). UPA and PAI-1 Analysis from Fixed Tissues – New Perspectives for a Known Set of Predictive Markers. Current Medicinal Chemistry. 17(35). 4370–4377. 20 indexed citations
8.
Berg, Daniela, et al.. (2009). Molecular profiling of signalling pathways in formalin-fixed and paraffin-embedded cancer tissues. European Journal of Cancer. 46(1). 47–55. 47 indexed citations
9.
Hipp, Susanne, Axel Walch, Tibor Schuster, Heinz Höfler, & Karl‐Friedrich Becker. (2008). Precise measurement of the E-cadherin repressor Snail in formalin-fixed endometrial carcinoma using protein lysate microarrays. Clinical & Experimental Metastasis. 25(6). 679–683. 17 indexed citations
10.
Hipp, Susanne, Axel Walch, Tibor Schuster, et al.. (2008). Activation of epidermal growth factor receptor results in Snail protein but not mRNA overexpression in endometrial cancer. Journal of Cellular and Molecular Medicine. 13(9b). 3858–3867. 30 indexed citations
11.
Becker, Karl‐Friedrich, Hildegard I. D. Mack, Christina Schott, et al.. (2008). Extraction of Phosphorylated Proteins from Formalin-Fixed Cancer Cells and Tissues. 2(1). 46–52. 13 indexed citations
12.
Becker, Karl‐Friedrich, et al.. (2006). Clinical Proteomics: New Trends for Protein Microarrays. Current Medicinal Chemistry. 13(15). 1831–1837. 23 indexed citations
13.
Hipp, Susanne, Madlene Oelsner, Ingo Ringshausen, et al.. (2006). Mammalian target of rapamycin inhibition induces cell cycle arrest in diffuse large B cell lymphoma (DLBCL) cells and sensitises DLBCL cells to rituximab. British Journal of Haematology. 134(5). 475–484. 102 indexed citations
14.
Becker, Karl‐Friedrich, Christina Schott, Susanne Hipp, et al.. (2006). Quantitative protein analysis from formalin‐fixed tissues: implications for translational clinical research and nanoscale molecular diagnosis. The Journal of Pathology. 211(3). 370–378. 154 indexed citations
15.
Decker, Thomas, Susanne Hipp, Ines N. Hahntow, Folker Schneller, & Christian Peschel. (2004). Expression of cyclin E in resting and activated B‐chronic lymphocytic leukaemia cells: cyclin E/cdk2 as a potential therapeutic target. British Journal of Haematology. 125(2). 141–148. 13 indexed citations
16.
17.
Bogner, Christian, Folker Schneller, Susanne Hipp, et al.. (2003). Cycling B-CLL cells are highly susceptible to inhibition of the proteasome. Experimental Hematology. 31(3). 218–225. 24 indexed citations
18.
Ringshausen, Ingo, Folker Schneller, Christian Bogner, et al.. (2002). Constitutively activated phosphatidylinositol-3 kinase (PI-3K) is involved in the defect of apoptosis in B-CLL: association with protein kinase Cδ. Blood. 100(10). 3741–3748. 217 indexed citations
19.
Decker, Thomas, Folker Schneller, Susanne Hipp, et al.. (2002). Cell cycle progression of chronic lymphocytic leukemia cells is controlled by cyclin D2, cyclin D3, cyclin-dependent kinase (cdk) 4 and the cdk inhibitor p27. Leukemia. 16(3). 327–334. 85 indexed citations
20.
Decker, Thomas, Susanne Hipp, Ingo Ringshausen, et al.. (2002). Rapamycin-induced G1 arrest in cycling B-CLL cells is associated with reduced expression of cyclin D3, cyclin E, cyclin A, and survivin. Blood. 101(1). 278–285. 138 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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