Anne-Kathleen Rupp

2.2k total citations · 1 hit paper
9 papers, 1.8k citations indexed

About

Anne-Kathleen Rupp is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Anne-Kathleen Rupp has authored 9 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cancer Research and 3 papers in Immunology. Recurrent topics in Anne-Kathleen Rupp's work include Extracellular vesicles in disease (7 papers), MicroRNA in disease regulation (6 papers) and Reproductive System and Pregnancy (3 papers). Anne-Kathleen Rupp is often cited by papers focused on Extracellular vesicles in disease (7 papers), MicroRNA in disease regulation (6 papers) and Reproductive System and Pregnancy (3 papers). Anne-Kathleen Rupp collaborates with scholars based in Germany, Israel and Austria. Anne-Kathleen Rupp's co-authors include Peter Altevogt, Sascha Keller, Johannes Ridinger, Johannes W.G. Janssen, Holger Sültmann, Christian Rupp, Frederik Marmé, Julia Starmann, Stefan Momma and Kirsten De Ridder and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS Biology.

In The Last Decade

Anne-Kathleen Rupp

9 papers receiving 1.8k citations

Hit Papers

Body fluid derived exosom... 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne-Kathleen Rupp Germany 8 1.6k 966 350 155 140 9 1.8k
Borbála Aradi Hungary 6 1.7k 1.1× 884 0.9× 354 1.0× 87 0.6× 204 1.5× 7 2.1k
Alanna Sedgwick United States 10 1.5k 1.0× 724 0.7× 265 0.8× 148 1.0× 134 1.0× 13 1.7k
Rafał Szatanek Poland 17 1.5k 1.0× 888 0.9× 382 1.1× 156 1.0× 195 1.4× 41 1.8k
Laurent Müller Switzerland 17 1.9k 1.2× 1.1k 1.2× 649 1.9× 264 1.7× 272 1.9× 31 2.3k
Stephanie N. Hurwitz United States 15 1.4k 0.9× 713 0.7× 242 0.7× 148 1.0× 126 0.9× 23 1.6k
Fengxia Ma China 19 1.3k 0.8× 477 0.5× 620 1.8× 184 1.2× 145 1.0× 48 2.1k
Eduard Willms Australia 10 1.7k 1.1× 917 0.9× 249 0.7× 56 0.4× 226 1.6× 12 1.8k
Barbara W. Sódar Hungary 13 1.6k 1.0× 744 0.8× 277 0.8× 54 0.3× 259 1.9× 14 1.7k
Killian P. O’Brien United States 6 1.5k 1.0× 859 0.9× 188 0.5× 51 0.3× 161 1.1× 9 1.7k

Countries citing papers authored by Anne-Kathleen Rupp

Since Specialization
Citations

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

Fields of papers citing papers by Anne-Kathleen Rupp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne-Kathleen Rupp. 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 Anne-Kathleen Rupp. The network helps show where Anne-Kathleen Rupp may publish in the future.

Co-authorship network of co-authors of Anne-Kathleen Rupp

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

All Works

9 of 9 papers shown
2.
Ridder, Kirsten De, Alexandra Sevko, Anne-Kathleen Rupp, et al.. (2015). Extracellular vesicle-mediated transfer of functional RNA in the tumor microenvironment. OncoImmunology. 4(6). e1008371–e1008371. 232 indexed citations
3.
Ridder, Kirsten De, Sascha Keller, Anne-Kathleen Rupp, et al.. (2014). Extracellular Vesicle-Mediated Transfer of Genetic Information between the Hematopoietic System and the Brain in Response to Inflammation. PLoS Biology. 12(6). e1001874–e1001874. 332 indexed citations
4.
Ridder, Kirsten De, Sascha Keller, Anne-Kathleen Rupp, et al.. (2014). Extracellular vesicle-mediated transfer of genetic information between the hematopoietic system and the brain in response to inflammation. Journal of Neuroimmunology. 275(1-2). 165–165. 6 indexed citations
5.
Schirmer, Uwe, Kai Doberstein, Anne-Kathleen Rupp, et al.. (2014). Role of miR-34a as a suppressor of L1CAM in endometrial carcinoma. Oncotarget. 5(2). 462–472. 57 indexed citations
6.
Nazarenko, Irina, Anne-Kathleen Rupp, & Peter Altevogt. (2013). Exosomes as a Potential Tool for a Specific Delivery of Functional Molecules. Methods in molecular biology. 1049. 495–511. 58 indexed citations
7.
Bretz, Niko P., Johannes Ridinger, Anne-Kathleen Rupp, et al.. (2013). Body Fluid Exosomes Promote Secretion of Inflammatory Cytokines in Monocytic Cells via Toll-like Receptor Signaling. Journal of Biological Chemistry. 288(51). 36691–36702. 209 indexed citations
8.
Keller, Sascha, Johannes Ridinger, Anne-Kathleen Rupp, Johannes W.G. Janssen, & Peter Altevogt. (2011). Body fluid derived exosomes as a novel template for clinical diagnostics. Journal of Translational Medicine. 9(1). 86–86. 621 indexed citations breakdown →
9.
Rupp, Anne-Kathleen, Christian Rupp, Sascha Keller, et al.. (2011). Loss of EpCAM expression in breast cancer derived serum exosomes: Role of proteolytic cleavage. Gynecologic Oncology. 122(2). 437–446. 251 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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