Nina Kurrle

960 total citations
24 papers, 549 citations indexed

About

Nina Kurrle is a scholar working on Molecular Biology, Cell Biology and Hematology. According to data from OpenAlex, Nina Kurrle has authored 24 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 6 papers in Cell Biology and 5 papers in Hematology. Recurrent topics in Nina Kurrle's work include Caveolin-1 and cellular processes (5 papers), Cancer, Hypoxia, and Metabolism (4 papers) and CRISPR and Genetic Engineering (4 papers). Nina Kurrle is often cited by papers focused on Caveolin-1 and cellular processes (5 papers), Cancer, Hypoxia, and Metabolism (4 papers) and CRISPR and Genetic Engineering (4 papers). Nina Kurrle collaborates with scholars based in Germany, United Kingdom and Spain. Nina Kurrle's co-authors include Frank Schnütgen, Hubert Serve, Ritva Tikkanen, Antje Banning, Islam Alshamleh, Melanie Meister, Harald Schwalbe, Sarah Weber, Ingrid Fleming and Sven Zukunft and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Blood.

In The Last Decade

Nina Kurrle

24 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nina Kurrle Germany 13 345 142 125 94 70 24 549
Jan Moebius Germany 8 388 1.1× 100 0.7× 217 1.7× 97 1.0× 50 0.7× 11 743
Juhie Lee South Korea 13 327 0.9× 132 0.9× 46 0.4× 90 1.0× 34 0.5× 37 574
Rene Pagila United States 5 236 0.7× 95 0.7× 287 2.3× 57 0.6× 30 0.4× 6 557
Maria Nyåkern Italy 7 426 1.2× 62 0.4× 173 1.4× 40 0.4× 53 0.8× 11 585
Ruo-Pan Huang United States 7 341 1.0× 115 0.8× 54 0.4× 26 0.3× 89 1.3× 9 573
Sine Godiksen Denmark 11 220 0.6× 114 0.8× 85 0.7× 49 0.5× 38 0.5× 12 482
Maria Teresa Quaranta Italy 16 482 1.4× 283 2.0× 195 1.6× 44 0.5× 175 2.5× 26 790
Xiaofen Pan China 15 330 1.0× 131 0.9× 141 1.1× 26 0.3× 74 1.1× 35 706
Daniela Di Marcantonio United States 15 417 1.2× 66 0.5× 86 0.7× 37 0.4× 49 0.7× 29 569
Qiansheng Ren United States 9 222 0.6× 32 0.2× 263 2.1× 160 1.7× 126 1.8× 11 593

Countries citing papers authored by Nina Kurrle

Since Specialization
Citations

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

Fields of papers citing papers by Nina Kurrle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Kurrle

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Kurrle. A scholar is included among the top collaborators of Nina Kurrle 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 Nina Kurrle. Nina Kurrle 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.
Koschade, Sebastian E., Björn Häupl, Frank Wempe, et al.. (2023). The MYC-Regulated RNA-Binding Proteins hnRNPC and LARP1 Are Drivers of Multiple Myeloma Cell Growth and Disease Progression and Negatively Predict Patient Survival. Cancers. 15(23). 5508–5508. 6 indexed citations
2.
Häupl, Björn, Dominik C. Fuhrmann, Frank Wempe, et al.. (2022). Identification of the Cysteine Protease Legumain as a Potential Chronic Hypoxia-Specific Multiple Myeloma Target Gene. Cells. 11(2). 292–292. 5 indexed citations
3.
Weber, Sarah, et al.. (2021). The Clinical Significance of Iron Overload and Iron Metabolism in Myelodysplastic Syndrome and Acute Myeloid Leukemia. Frontiers in Immunology. 11. 627662–627662. 62 indexed citations
4.
Foguet, Carles, Nina Kurrle, Frank Schnütgen, et al.. (2021). Genome-scale integration of transcriptome and metabolome unveils squalene synthase and dihydrofolate reductase as targets against AML cells resistant to chemotherapy. Computational and Structural Biotechnology Journal. 19. 4059–4066. 7 indexed citations
5.
Kurrle, Nina, et al.. (2021). Amino acid sensory complex proteins in mTORC1 and macroautophagy regulation. Matrix Biology. 100-101. 65–83. 12 indexed citations
6.
Kurrle, Nina, Marta Casado, Dominik C. Fuhrmann, et al.. (2020). Metabolic Plasticity Is an Essential Requirement of Acquired Tyrosine Kinase Inhibitor Resistance in Chronic Myeloid Leukemia. Cancers. 12(11). 3443–3443. 10 indexed citations
7.
Kurrle, Nina, et al.. (2019). CRISPR/Cas9-mediated generic protein tagging in mammalian cells. Methods. 164-165. 59–66. 3 indexed citations
8.
Fuhrmann, Dominik C., Catherine Olesch, Nina Kurrle, et al.. (2019). Chronic Hypoxia Enhances β-Oxidation-Dependent Electron Transport via Electron Transferring Flavoproteins. Cells. 8(2). 172–172. 18 indexed citations
9.
Alshamleh, Islam, Christian Richter, Nina Kurrle, et al.. (2019). Real‐Time NMR Spectroscopy for Studying Metabolism. Angewandte Chemie. 132(6). 2324–2328. 12 indexed citations
10.
Alshamleh, Islam, Christian Richter, Nina Kurrle, et al.. (2019). Real‐Time NMR Spectroscopy for Studying Metabolism. Angewandte Chemie International Edition. 59(6). 2304–2308. 34 indexed citations
11.
Namgaladze, Dmitry, Sven Zukunft, Frank Schnütgen, et al.. (2018). Polarization of Human Macrophages by Interleukin-4 Does Not Require ATP-Citrate Lyase. Frontiers in Immunology. 9. 2858–2858. 35 indexed citations
12.
Sürün, Duran, Joachim Schwäble, Ana Tomasovic, et al.. (2017). High Efficiency Gene Correction in Hematopoietic Cells by Donor-Template-Free CRISPR/Cas9 Genome Editing. Molecular Therapy — Nucleic Acids. 10. 1–8. 33 indexed citations
13.
Sürün, Duran, Nina Kurrle, Hubert Serve, Harald von Melchner, & Frank Schnütgen. (2017). High efficiency gene correction in hematopoietic cells by donor-template-free CRISPR/Cas9 genome editing. Experimental Hematology. 53. S64–S64. 4 indexed citations
14.
15.
Tomasovic, Ana, Nina Kurrle, Frank Wempe, et al.. (2016). Ltbp4 regulates Pdgfrβ expression via TGFβ-dependent modulation of Nrf2 transcription factor function. Matrix Biology. 59. 109–120. 11 indexed citations
16.
Rezende, Flávia, Oliver Löwe, Ilka Wittig, et al.. (2016). Cytochrome P450 enzymes but not NADPH oxidases are the source of the NADPH-dependent lucigenin chemiluminescence in membrane assays. Free Radical Biology and Medicine. 102. 57–66. 37 indexed citations
17.
Tomasovic, Ana, Nina Kurrle, Duran Sürün, et al.. (2015). Sestrin 2 Protein Regulates Platelet-derived Growth Factor Receptor β (Pdgfrβ) Expression by Modulating Proteasomal and Nrf2 Transcription Factor Functions. Journal of Biological Chemistry. 290(15). 9738–9752. 19 indexed citations
18.
Banning, Antje, Nina Kurrle, Melanie Meister, & Ritva Tikkanen. (2014). Flotillins in Receptor Tyrosine Kinase Signaling and Cancer. Cells. 3(1). 129–149. 49 indexed citations
19.
20.
Kurrle, Nina, et al.. (2013). Flotillins Directly Interact with γ-Catenin and Regulate Epithelial Cell-Cell Adhesion. PLoS ONE. 8(12). e84393–e84393. 23 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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