Silke Reinartz

2.6k total citations
47 papers, 2.0k citations indexed

About

Silke Reinartz is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Silke Reinartz has authored 47 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Immunology, 25 papers in Molecular Biology and 14 papers in Oncology. Recurrent topics in Silke Reinartz's work include Immune cells in cancer (11 papers), Immune Cell Function and Interaction (10 papers) and Immunotherapy and Immune Responses (8 papers). Silke Reinartz is often cited by papers focused on Immune cells in cancer (11 papers), Immune Cell Function and Interaction (10 papers) and Immunotherapy and Immune Responses (8 papers). Silke Reinartz collaborates with scholars based in Germany, United States and Bangladesh. Silke Reinartz's co-authors include Uwe Wagner, Rolf Müller, Florian Finkernagel, Julia M. Jansen, Elke Pogge von Strandmann, Till Adhikary, Sabine Müller‐Brüsselbach, Thomas Worzfeld, Andrea Nist and Thorsten Stiewe and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Silke Reinartz

44 papers receiving 1.9k citations

Peers

Silke Reinartz
Marion Zillhardt United States
Mika K. Derynck United States
Peter Horak Germany
Adam J. Krieg United States
Shaozhen Xie United States
Silke Reinartz
Citations per year, relative to Silke Reinartz Silke Reinartz (= 1×) peers Ingrid Hedenfalk

Countries citing papers authored by Silke Reinartz

Since Specialization
Citations

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

Fields of papers citing papers by Silke Reinartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silke Reinartz

This figure shows the co-authorship network connecting the top 25 collaborators of Silke Reinartz. A scholar is included among the top collaborators of Silke Reinartz 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 Silke Reinartz. Silke Reinartz 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.
Szymański, Witold, et al.. (2026). Isolation Defines Identity: Functional Consequences of Extracellular Vesicle Purification Strategies. Advanced Healthcare Materials. e04684–e04684.
2.
Preußer, Christian, Johannes Graumann, Witold Szymański, et al.. (2025). Extracellular vesicles from ovarian cancer tumor spheroids harbor disease-related and survival-associated proteins. PubMed. 6(4). 677–86.
3.
Reinartz, Silke, et al.. (2025). Elucidating the mechanistic role of ovarian cancer biomarkers: Lessons learnt from affinity-proteomics. Critical Reviews in Oncology/Hematology. 214. 104823–104823.
4.
Lieber, Sonja, Hartmann Raifer, Florian Finkernagel, et al.. (2024). Reciprocal crosstalk between Th17 and mesothelial cells promotes metastasis‐associated adhesion of ovarian cancer cells. Clinical and Translational Medicine. 14(4). e1604–e1604. 14 indexed citations
5.
Lieber, Sonja, Anna M. Sokòl, Andrea Nist, et al.. (2023). The lysophosphatidic acid-regulated signal transduction network in ovarian cancer cells and its role in actomyosin dynamics, cell migration and entosis. Theranostics. 13(6). 1921–1948. 7 indexed citations
6.
Preußer, Christian, Tobias Tertel, Witold Szymański, et al.. (2022). Isolation of native EVs from primary biofluids—Free‐flow electrophoresis as a novel approach to purify ascites‐derived EVs. SHILAP Revista de lepidopterología. 1(12). e71–e71. 6 indexed citations
7.
Dietze, Raimund, María Gómez‐Serrano, Florian Finkernagel, et al.. (2020). Phosphoproteomics identify arachidonic-acid-regulated signal transduction pathways modulating macrophage functions with implications for ovarian cancer. Theranostics. 11(3). 1377–1395. 34 indexed citations
8.
Finkernagel, Florian, Silke Reinartz, Julia M. Jansen, et al.. (2019). Dual-platform affinity proteomics identifies links between the recurrence of ovarian carcinoma and proteins released into the tumor microenvironment. Theranostics. 9(22). 6601–6617. 41 indexed citations
9.
Bartsch, Detlef K., Konstantin Strauch, Elvira Matthäi, et al.. (2018). The Combination of MiRNA-196b, LCN2, and TIMP1 is a Potential Set of Circulating Biomarkers for Screening Individuals at Risk for Familial Pancreatic Cancer. Journal of Clinical Medicine. 7(10). 295–295. 29 indexed citations
10.
Finkernagel, Florian, Barbara Joos, Andrea Nist, et al.. (2018). Chromatin Binding of c-REL and p65 Is Not Limiting for Macrophage IL12B Transcription During Immediate Suppression by Ovarian Carcinoma Ascites. Frontiers in Immunology. 9. 1425–1425. 11 indexed citations
11.
Worzfeld, Thomas, Elke Pogge von Strandmann, Magdalena Huber, et al.. (2017). The Unique Molecular and Cellular Microenvironment of Ovarian Cancer. Frontiers in Oncology. 7. 24–24. 206 indexed citations
12.
Adhikary, Till, Annika Wortmann, Florian Finkernagel, et al.. (2017). Interferon signaling in ascites-associated macrophages is linked to a favorable clinical outcome in a subgroup of ovarian carcinoma patients. BMC Genomics. 18(1). 243–243. 47 indexed citations
13.
Reinartz, Silke, Florian Finkernagel, Till Adhikary, et al.. (2016). A transcriptome-based global map of signaling pathways in the ovarian cancer microenvironment associated with clinical outcome. Genome biology. 17(1). 108–108. 86 indexed citations
14.
Adhikary, Till, Annika Wortmann, Tim Schumann, et al.. (2015). The transcriptional PPARβ/δ network in human macrophages defines a unique agonist-induced activation state. Nucleic Acids Research. 43(10). 5033–5051. 66 indexed citations
15.
Adhikary, Till, Dominique T. Brandt, Kerstin Kaddatz, et al.. (2012). Inverse PPARβ/δ agonists suppress oncogenic signaling to the ANGPTL4 gene and inhibit cancer cell invasion. Oncogene. 32(44). 5241–5252. 75 indexed citations
16.
Reinartz, Silke, et al.. (2011). CA125 (MUC16) gene silencing suppresses growth properties of ovarian and breast cancer cells. European Journal of Cancer. 48(10). 1558–1569. 56 indexed citations
17.
Reinartz, Silke, Jacobus Pfisterer, Andreas du Bois, et al.. (2009). Suppressive activity rather than frequency of FoxP3+ regulatory T cells is essential for CA-125–specific T-cell activation after abagovomab treatment. Human Immunology. 71(1). 36–44. 5 indexed citations
18.
Pfisterer, Jacobus, Andreas du Bois, Jalid Sehouli, et al.. (2006). The anti-idiotypic antibody abagovomab in patients with recurrent ovarian cancer. A phase I trial of the AGO-OVAR. Annals of Oncology. 17(10). 1568–1577. 50 indexed citations
19.
Reinartz, Silke, et al.. (2005). Development of a Delivery System for the Continuous Endogenous Release of an Anti-Idiotypic Antibody Against Ovarian Carcinoma. Hybridoma. 24(3). 133–140. 2 indexed citations
20.
Reinartz, Silke, et al.. (2000). Immunological properties of a single-chain fragment of the anti-idiotypic antibody ACA125. Cancer Immunology Immunotherapy. 49(4-5). 186–192. 18 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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