Svenja Zapf

898 total citations
17 papers, 714 citations indexed

About

Svenja Zapf is a scholar working on Oncology, Molecular Biology and Pharmacology. According to data from OpenAlex, Svenja Zapf has authored 17 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Molecular Biology and 5 papers in Pharmacology. Recurrent topics in Svenja Zapf's work include Inflammatory mediators and NSAID effects (5 papers), Glioma Diagnosis and Treatment (4 papers) and Estrogen and related hormone effects (4 papers). Svenja Zapf is often cited by papers focused on Inflammatory mediators and NSAID effects (5 papers), Glioma Diagnosis and Treatment (4 papers) and Estrogen and related hormone effects (4 papers). Svenja Zapf collaborates with scholars based in Germany, United States and Slovakia. Svenja Zapf's co-authors include Manfred Westphal, Katrin Lamszus, Carmen Eckerich, Tobias Martens, Alexander Schulte, Regina Fillbrandt, Alf Giese, Sonja Loges, Hauke S. Günther and Michael E. Berens and has published in prestigious journals such as Journal of Clinical Investigation, Clinical Cancer Research and Journal of Neurochemistry.

In The Last Decade

Svenja Zapf

17 papers receiving 703 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Svenja Zapf Germany	14	294	270	254	201	150	17	714
Monica Patanè Italy	11	238 0.8×	225 0.8×	310 1.2×	126 0.6×	171 1.1×	25	704
Satoko Nakada Japan	13	468 1.6×	153 0.6×	178 0.7×	158 0.8×	84 0.6×	38	970
Marianne Kastemar Sweden	12	401 1.4×	288 1.1×	168 0.7×	240 1.2×	132 0.9×	14	740
Yevgeniy Lukyanov United States	12	401 1.4×	272 1.0×	382 1.5×	313 1.6×	280 1.9×	12	950
Menggui Huang United States	14	637 2.2×	226 0.8×	343 1.4×	438 2.2×	301 2.0×	19	1.3k
Tadaaki Kishi Canada	15	295 1.0×	405 1.5×	187 0.7×	137 0.7×	53 0.4×	17	741
Violaine Goidts Germany	15	582 2.0×	214 0.8×	306 1.2×	273 1.4×	105 0.7×	21	878
Mine Esencay United States	8	335 1.1×	300 1.1×	361 1.4×	295 1.5×	252 1.7×	10	861
K. Jason South Korea	17	354 1.2×	192 0.7×	249 1.0×	226 1.1×	135 0.9×	48	814
Margaret Choy United States	8	513 1.7×	103 0.4×	320 1.3×	176 0.9×	108 0.7×	10	861

Countries citing papers authored by Svenja Zapf

Since Specialization

Citations

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

Fields of papers citing papers by Svenja Zapf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Svenja Zapf

This figure shows the co-authorship network connecting the top 25 collaborators of Svenja Zapf. A scholar is included among the top collaborators of Svenja Zapf 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 Svenja Zapf. Svenja Zapf 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

1.

Maire, Cécile L., Malte Mohme, Michael Bockmayr, et al.. (2020). Glioma escape signature and clonal development under immune pressure. Journal of Clinical Investigation. 130(10). 5257–5271. 28 indexed citations

2.

Mohme, Malte, Simon Schliffke, Cécile L. Maire, et al.. (2018). Immunophenotyping of Newly Diagnosed and Recurrent Glioblastoma Defines Distinct Immune Exhaustion Profiles in Peripheral and Tumor-infiltrating Lymphocytes. Clinical Cancer Research. 24(17). 4187–4200. 109 indexed citations

3.

Mohme, Malte, Cécile L. Maire, Kristoffer Riecken, et al.. (2017). Optical Barcoding for Single-Clone Tracking to Study Tumor Heterogeneity. Molecular Therapy. 25(3). 621–633. 31 indexed citations

4.

Schulte, Alexander, Sabine Riethdorf, Svenja Zapf, et al.. (2013). Erlotinib resistance in EGFR-amplified glioblastoma cells is associated with upregulation of EGFRvIII and PI3Kp110 . Neuro-Oncology. 15(10). 1289–1301. 52 indexed citations

5.

Schulte, Alexander, Hauke S. Günther, Tobias Martens, et al.. (2012). Glioblastoma Stem–like Cell Lines with Either Maintenance or Loss of High-Level EGFR Amplification, Generated via Modulation of Ligand Concentration. Clinical Cancer Research. 18(7). 1901–1913. 54 indexed citations

6.

Schulte, Alexander, Hauke S. Günther, Heidi Phillips, et al.. (2011). A distinct subset of glioma cell lines with stem cell‐like properties reflects the transcriptional phenotype of glioblastomas and overexpresses CXCR4 as therapeutic target. Glia. 59(4). 590–602. 98 indexed citations

7.

Eckerich, Carmen, Alexander Schulte, Tobias Martens, et al.. (2009). RON receptor tyrosine kinase in human gliomas: expression, function, and identification of a novel soluble splice variant. Journal of Neurochemistry. 109(4). 969–980. 42 indexed citations

8.

Eckerich, Carmen, Svenja Zapf, Regina Fillbrandt, et al.. (2007). Hypoxia can induce c‐Met expression in glioma cells and enhance SF/HGF‐induced cell migration. International Journal of Cancer. 121(2). 276–283. 110 indexed citations

9.

Eckerich, Carmen, Svenja Zapf, Ulrike Ulbricht, et al.. (2005). Contactin is expressed in human astrocytic gliomas and mediates repulsive effects. Glia. 53(1). 1–12. 26 indexed citations

10.

Zapf, Svenja, et al.. (2004). Inhibition of the arachidonic acid metabolism blocks endothelial cell migration and induces apoptosis. Acta Neurochirurgica. 146(5). 483–494. 22 indexed citations

11.

Yoshizato, Kimio, Svenja Zapf, Manfred Westphal, Michael E. Berens, & Alf Giese. (2002). Thromboxane Synthase Inhibitors Induce Apoptosis in Migration-arrested Glioma Cells. Neurosurgery. 50(2). 343–354. 5 indexed citations

12.

Puchner, Maximilian J. A., Johannes A. Köppen, Svenja Zapf, Cornelius Knabbe, & Manfred Westphal. (2002). The influence of tamoxifen on the secretion of transforming growth factor-beta2 (TGF-beta2) in glioblastomas: in vitro and in vivo findings.. PubMed. 22(1A). 45–51. 8 indexed citations

13.

Yoshizato, Kimio, Svenja Zapf, Manfred Westphal, Michael E. Berens, & Alf Giese. (2002). Thromboxane Synthase Inhibitors Induce Apoptosis in Migration-arrested Glioma Cells. Neurosurgery. 50(2). 343–354. 25 indexed citations

14.

Metzger, Robert P., et al.. (2001). Towards in-vitro prediction of an in-vivo cytostatic response of human tumor cells with a fast chemosensitivity assay. Toxicology. 166(1-2). 97–108. 18 indexed citations

15.

Giese, Alf, Christian Hagel, Ella L. Kim, et al.. (1999). Thromboxane synthase regulates the migratory phenotype of human glioma cells. Neuro-Oncology. 1(1). 3–13. 1 indexed citations

16.

Giese, Alf, Christian Hagel, Ella L. Kim, et al.. (1999). Thromboxane synthase regulates the migratory phenotype of human gliomacells. Neuro-Oncology. 1(1). 3–13. 48 indexed citations

17.

Kaczmarek, Elżbieta, Svenja Zapf, Hakim Bouterfa, et al.. (1999). Dissecting glioma invasion: interrelation of adhesion, migration and intercellular contacts determine the invasive phenotype. International Journal of Developmental Neuroscience. 17(5-6). 625–641. 37 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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