Daniela Hartl

888 total citations
26 papers, 628 citations indexed

About

Daniela Hartl is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Daniela Hartl has authored 26 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Physiology. Recurrent topics in Daniela Hartl's work include Alzheimer's disease research and treatments (6 papers), Mitochondrial Function and Pathology (4 papers) and Genetic Neurodegenerative Diseases (4 papers). Daniela Hartl is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Mitochondrial Function and Pathology (4 papers) and Genetic Neurodegenerative Diseases (4 papers). Daniela Hartl collaborates with scholars based in Germany, Luxembourg and France. Daniela Hartl's co-authors include Joachim Klose, Michael Rohe, Claus Zabel, Lei Mao, Thomas E. Willnow, Markus J. Riemenschneider, Sabrina Pichler, Manuel Mayhaus, Eckart Meese and Harald Hampel and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Neurobiology of Aging.

In The Last Decade

Daniela Hartl

26 papers receiving 620 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 Hartl Germany 14 385 207 151 87 86 26 628
Karthik Raju United States 11 447 1.2× 284 1.4× 124 0.8× 54 0.6× 63 0.7× 13 865
Parvathi Rudrabhatla United States 18 513 1.3× 199 1.0× 137 0.9× 60 0.7× 192 2.2× 22 918
Mirsada Čaušević United Kingdom 13 423 1.1× 341 1.6× 85 0.6× 80 0.9× 86 1.0× 19 743
Kang‐Sik Park South Korea 12 334 0.9× 64 0.3× 101 0.7× 73 0.8× 95 1.1× 19 607
Sebastian Hogl Germany 11 347 0.9× 303 1.5× 109 0.7× 31 0.4× 155 1.8× 14 784
Xiang Yin China 17 350 0.9× 90 0.4× 92 0.6× 45 0.5× 67 0.8× 35 688
Bing Bai China 10 789 2.0× 134 0.6× 115 0.8× 88 1.0× 82 1.0× 17 1.0k
Timothy A. Couttas Australia 13 438 1.1× 208 1.0× 74 0.5× 30 0.3× 111 1.3× 25 618
Serena Stanga Italy 17 384 1.0× 237 1.1× 107 0.7× 48 0.6× 54 0.6× 31 649
Keiichi Kadoyama Japan 13 272 0.7× 115 0.6× 121 0.8× 49 0.6× 29 0.3× 36 583

Countries citing papers authored by Daniela Hartl

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Hartl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Hartl

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Hartl. A scholar is included among the top collaborators of Daniela Hartl 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 Hartl. Daniela Hartl 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.
Ciolacu, Monica, et al.. (2020). Education 4.0: Smart Blended Learning Assisted by Artificial Intelligence, Biofeedback and Sensors. 92. 1–4. 8 indexed citations
2.
May, Patrick, Sabrina Pichler, Daniela Hartl, et al.. (2018). Rare ABCA7 variants in 2 German families with Alzheimer disease. Open Repository and Bibliography (University of Luxembourg). 4(2). 2 indexed citations
3.
Pichler, Sabrina, Wei Gu, Daniela Hartl, et al.. (2016). The miRNome of Alzheimer's disease: consistent downregulation of the miR-132/212 cluster. Neurobiology of Aging. 50. 167.e1–167.e10. 99 indexed citations
4.
Hartl, Daniela, Claus‐Eric Ott, Monika Osswald, et al.. (2015). Double NF1 Inactivation Affects Adrenocortical Function in NF1Prx1 Mice and a Human Patient. PLoS ONE. 10(3). e0119030–e0119030. 9 indexed citations
5.
Hartl, Daniela, Stephan Klatt, Zoltán Konthur, et al.. (2013). Soluble Alpha-APP (sAPPalpha) Regulates CDK5 Expression and Activity in Neurons. PLoS ONE. 8(6). e65920–e65920. 30 indexed citations
6.
Rohe, Michael, et al.. (2013). SORLA-Mediated Trafficking of TrkB Enhances the Response of Neurons to BDNF. PLoS ONE. 8(8). e72164–e72164. 28 indexed citations
7.
Gustafsen, Camilla, Guido Mastrobuoni, Morten S. Nielsen, et al.. (2013). The Pro-Neurotrophin Receptor Sortilin Is a Major Neuronal Apolipoprotein E Receptor for Catabolism of Amyloid-β Peptide in the Brain. Journal of Neuroscience. 33(1). 358–370. 78 indexed citations
8.
Klatt, Stephan, Michael Rohe, Kathirvel Alagesan, et al.. (2012). Production of Glycosylated Soluble Amyloid Precursor Protein Alpha (sAPPalpha) in Leishmania tarentolae. Journal of Proteome Research. 12(1). 396–403. 30 indexed citations
9.
Rohe, Michael, Grit Nebrich, Oliver Klein, et al.. (2011). Kainate Promotes Alterations in Neuronal RNA Splicing Machinery. Journal of Proteome Research. 10(4). 1459–1467. 6 indexed citations
10.
Zabel, Claus, et al.. (2010). Proteasome and oxidative phoshorylation changes may explain why aging is a risk factor for neurodegenerative disorders. Journal of Proteomics. 73(11). 2230–2238. 33 indexed citations
11.
Mao, Lei, et al.. (2010). Aging in Mouse Brain Is a Cell/Tissue-Level Phenomenon Exacerbated by Proteasome Loss. Journal of Proteome Research. 9(7). 3551–3560. 12 indexed citations
12.
Nebrich, Grit, Marion Herrmann, Daniela Hartl, et al.. (2009). PROTEOMER: A workflow‐optimized laboratory information management system for 2‐D electrophoresis‐centered proteomics. PROTEOMICS. 9(7). 1795–1808. 6 indexed citations
13.
Irmler, Martin, Daniela Hartl, Thorsten Schmidt, et al.. (2008). An approach to handling and interpretation of ambiguous data in transcriptome and proteome comparisons. PROTEOMICS. 8(6). 1165–1169. 21 indexed citations
14.
Schuchhardt, Johannes, Daniela Hartl, Martin Irmler, et al.. (2008). BrainProfileDB – a platform for integration of functional genomics data. PROTEOMICS. 8(6). 1162–1164. 7 indexed citations
15.
Hartl, Daniela, Michael Rohe, Lei Mao, et al.. (2008). Impairment of Adolescent Hippocampal Plasticity in a Mouse Model for Alzheimer's Disease Precedes Disease Phenotype. PLoS ONE. 3(7). e2759–e2759. 25 indexed citations
16.
Zabel, Claus, et al.. (2008). Protein expression overlap: more important than which proteins change in expression?. Expert Review of Proteomics. 5(2). 187–205. 21 indexed citations
17.
Zabel, Claus, Lei Mao, Ben Woodman, et al.. (2008). A Large Number of Protein Expression Changes Occur Early in Life and Precede Phenotype Onset in a Mouse Model for Huntington Disease. Molecular & Cellular Proteomics. 8(4). 720–734. 62 indexed citations
18.
Hartl, Daniela, Martin Irmler, Michael T. Mader, et al.. (2008). Transcriptome and proteome analysis of early embryonic mouse brain development. PROTEOMICS. 8(6). 1257–1265. 50 indexed citations
19.
Mao, Lei, Daniela Hartl, Tobias Nolden, et al.. (2008). Pronounced Alterations of Cellular Metabolism and Structure Due to Hyper- or Hypo-Osmosis. Journal of Proteome Research. 7(9). 3968–3983. 14 indexed citations
20.
Mao, Lei, Claus Zabel, Marion Herrmann, et al.. (2007). Proteomic Shifts in Embryonic Stem Cells with Gene Dose Modifications Suggest the Presence of Balancer Proteins in Protein Regulatory Networks. PLoS ONE. 2(11). e1218–e1218. 20 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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