Daniela Hartl
Impact in
Papers in
-
- Mitochondrial Function and Pathology 4
- Ubiquitin and proteasome pathways 4
- RNA Research and Splicing 3
- Bioinformatics and Genomic Networks 3
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- Genetic Neurodegenerative Diseases 4
- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Joachim Klose (13 shared papers)Michael Rohe (9 shared papers)Claus Zabel (11 shared papers)Lei Mao (9 shared papers)Thomas E. Willnow (3 shared papers)Manuel Mayhaus (4 shared papers)Sabrina Pichler (4 shared papers)Markus J. Riemenschneider (4 shared papers)
- Journals
- Journal of Proteome Research (6 papers)PLoS ONE (5 papers)PROTEOMICS (4 papers)Alzheimer s & Dementia (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- GermanyLuxembourgDenmark
In The Last Decade
Daniela Hartl
26 papers receiving 620 citations
Peers
Comparison fields: 5 of 98
- Biological Psychiatry 22
- Aging 15
- Cellular and Molecular Neuroscience 151
- Physiology 207
- Neurology 52
Countries citing papers authored by Daniela Hartl
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
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-authors
The 25 scholars most cited alongside Daniela Hartl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 99 | |
| 2 | 2013 | 78 | |
| 3 | 2008 | 62 | |
| 4 | 2008 | 50 | |
| 5 | 2010 | 33 | |
| 6 | 2013 | 30 | |
| 7 | 2012 | 30 | |
| 8 | 2012 | 29 | |
| 9 | 2013 | 28 | |
| 10 | 2008 | 25 | |
| 11 | 2008 | 21 | |
| 12 | 2008 | 21 | |
| 13 | 2007 | 20 | |
| 14 | 2008 | 14 | |
| 15 | 2010 | 12 | |
| 16 | 2018 | 11 | |
| 17 | 2016 | 11 | |
| 18 | 2015 | 10 | |
| 19 | 2015 | 9 | |
| 20 | 2020 | 8 |
About Daniela Hartl
Daniela Hartl is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Cell Biology and Spectroscopy, having authored 26 papers that have together received 628 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Genetic Neurodegenerative Diseases (4 papers), Mitochondrial Function and Pathology (4 papers), Ubiquitin and proteasome pathways (4 papers), RNA Research and Splicing (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Bioinformatics and Genomic Networks (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Biological Psychiatry (22 citations), Aging (15 citations), Cellular and Molecular Neuroscience (151 citations), Physiology (207 citations) and Neurology (52 citations). Daniela Hartl has collaborated with scholars based in Germany, Luxembourg and Denmark. Frequent co-authors include Joachim Klose, Michael Rohe, Claus Zabel, Lei Mao, Thomas E. Willnow, Manuel Mayhaus, Sabrina Pichler, Markus J. Riemenschneider, Petra Leidinger and Eckart Meese. Their work appears in journals such as Journal of Proteome Research, PLoS ONE, PROTEOMICS, Alzheimer s & Dementia and British Journal of Haematology.
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.