Daniela Haase

506 total citations
19 papers, 367 citations indexed

About

Daniela Haase is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, Daniela Haase has authored 19 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Oncology. Recurrent topics in Daniela Haase's work include Peptidase Inhibition and Analysis (3 papers), Cancer-related gene regulation (3 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Daniela Haase is often cited by papers focused on Peptidase Inhibition and Analysis (3 papers), Cancer-related gene regulation (3 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Daniela Haase collaborates with scholars based in Germany, Austria and France. Daniela Haase's co-authors include Christian Mawrin, Gerburg Keilhoff, Roland Hartig, Elmar Kirches, Thomas Kalinski, P. Christian Schulze, Raimund Firsching, Anita Lal, Werner Paulus and David H. Gutmann and has published in prestigious journals such as Oncogene, International Journal of Molecular Sciences and PLoS Pathogens.

In The Last Decade

Daniela Haase

19 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Haase Germany 12 172 79 61 59 54 19 367
Fang Cui China 11 132 0.8× 44 0.6× 38 0.6× 41 0.7× 47 0.9× 46 352
Mohamed Adam Canada 16 290 1.7× 64 0.8× 28 0.5× 44 0.7× 76 1.4× 18 520
Daniela Grothe Canada 10 248 1.4× 111 1.4× 27 0.4× 52 0.9× 43 0.8× 14 386
Kristen Leslie United States 11 273 1.6× 45 0.6× 57 0.9× 38 0.6× 121 2.2× 14 477
Xiaojiao Sun China 10 187 1.1× 58 0.7× 73 1.2× 37 0.6× 46 0.9× 17 399
Genmao Cao China 7 126 0.7× 55 0.7× 35 0.6× 25 0.4× 47 0.9× 13 344
Junlan Zhou China 13 234 1.4× 76 1.0× 32 0.5× 62 1.1× 80 1.5× 31 411
Zheng‐Da Pang China 13 225 1.3× 78 1.0× 37 0.6× 70 1.2× 34 0.6× 20 454

Countries citing papers authored by Daniela Haase

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Haase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Haase

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

All Works

19 of 19 papers shown
1.
Bekfani, Tarek, Mohamed M. Bekhite, Sophie Neugebauer, et al.. (2022). Metabolomic Profiling in Patients with Heart Failure and Exercise Intolerance: Kynurenine as a Potential Biomarker. Cells. 11(10). 1674–1674. 16 indexed citations
2.
Yang, Wentao, Rania Nakad, Daniela Haase, et al.. (2021). The effects of nested miRNAs and their host genes on immune defense against Bacillus thuringiensis infection in Caenorhabditis elegans. Developmental & Comparative Immunology. 123. 104144–104144. 3 indexed citations
3.
Pistulli, Rudin, Marcus Franz, Tarek Bekfani, et al.. (2021). Analysis of Metabolic Markers in Patients with Chronic Heart Failure before and after LVAD Implantation. Metabolites. 11(9). 615–615. 2 indexed citations
4.
Bekhite, Mohamed M., Jasmine Wu, Daniela Haase, et al.. (2021). Long-Chain and Very Long-Chain Ceramides Mediate Doxorubicin-Induced Toxicity and Fibrosis. International Journal of Molecular Sciences. 22(21). 11852–11852. 12 indexed citations
5.
Bekfani, Tarek, Mohamed M. Bekhite, Steffen Derlien, et al.. (2020). Skeletal Muscle Function, Structure, and Metabolism in Patients With Heart Failure With Reduced Ejection Fraction and Heart Failure With Preserved Ejection Fraction. Circulation Heart Failure. 13(12). e007198–e007198. 57 indexed citations
6.
Yang, Wentao, Barbara Pees, Daniela Haase, et al.. (2020). The C. elegans GATA transcription factor elt-2 mediates distinct transcriptional responses and opposite infection outcomes towards different Bacillus thuringiensis strains. PLoS Pathogens. 16(9). e1008826–e1008826. 22 indexed citations
7.
Haase, Daniela, Tarek Bekfani, Sophie Neugebauer, et al.. (2020). Metabolomic profiling of patients with high gradient aortic stenosis undergoing transcatheter aortic valve replacement. Clinical Research in Cardiology. 110(3). 399–410. 10 indexed citations
8.
Nenkov, Miljana, Yunxia Ma, Daniela Haase, et al.. (2020). Growth inhibitory role of the p53 activator SCH�529074 in non‑small cell lung cancer cells expressing mutant�p53. Oncology Reports. 43(6). 2073–2082. 6 indexed citations
9.
Haase, Daniela, Tiantian Cui, Linlin Yang, et al.. (2019). Plakophilin 1 is methylated and has a tumor suppressive activity in human lung cancer. Experimental and Molecular Pathology. 108. 73–79. 10 indexed citations
10.
Li, Yong, Yuan Chen, Yunxia Ma, et al.. (2017). Collagen prolyl hydroxylase 3 has a tumor suppressive activity in human lung cancer. Experimental Cell Research. 363(1). 121–128. 13 indexed citations
11.
12.
Kirches, Elmar, Roland Hartig, Daniela Haase, et al.. (2012). Sunitinib targets PDGF-receptor and Flt3 and reduces survival and migration of human meningioma cells. European Journal of Cancer. 48(12). 1831–1841. 48 indexed citations
13.
Haase, Daniela, Christian Ewald, Rolf Kalff, et al.. (2010). Fatty acid synthase as a novel target for meningioma therapy. Neuro-Oncology. 12(8). 844–854. 28 indexed citations
14.
Haase, Daniela, Andrea Wetzel, Kamal K. Balavenkatraman, et al.. (2010). Loss of the Protein‐Tyrosine Phosphatase DEP‐1/PTPRJ Drives Meningioma Cell Motility. Brain Pathology. 21(4). 405–418. 38 indexed citations
15.
Mawrin, Christian, Carmen Wolke, Daniela Haase, et al.. (2009). Reduced Activity of CD13/Aminopeptidase N (APN) in Aggressive Meningiomas Is Associated with Increased Levels of SPARC. Brain Pathology. 20(1). 200–210. 28 indexed citations
16.
Haase, Daniela, Silke Keiner, Christian Mawrin, & Günter Wolf. (2009). Reduced Morg1 expression in ischemic human brain. Neuroscience Letters. 455(1). 46–50. 7 indexed citations
17.
Haase, Daniela, Michael Meister, T. Muley, et al.. (2007). FRMD3, a novel putative tumour suppressor in NSCLC. Oncogene. 26(30). 4464–4468. 27 indexed citations
18.
Fritzenwanger, Michael, Friedhelm Kuethe, Daniela Haase, Enrico Jandt, & Hans‐R. Figulla. (2006). Cardiotrophin-1 induces monocyte chemoattractant protein-1 synthesis in human umbilical vein endothelial cells. Cytokine. 33(1). 46–51. 13 indexed citations
19.
Haase, Daniela, Michael H. Lehmann, Michael Körner, et al.. (2002). Identification and Validation of Selective Upregulation of Ventricular Myosin Light Chain Type 2 mRNA in Idiopathic Dilated Cardiomyopathy. European Journal of Heart Failure. 4(1). 23–31. 25 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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