Daniela Lötsch
Impact in
- Genetics top 1%
- Glioma Diagnosis and Treatment
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
- Genetics 17
- Glioma Diagnosis and Treatment 17
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- Cancer Genomics and Diagnostics 4
- Cancer, Hypoxia, and Metabolism 3
- Co-authors
- Walter Berger (24 shared papers)Sabine Spiegl‐Kreinecker (15 shared papers)Christine Pirker (13 shared papers)Serge Weis (4 shared papers)Josef Pichler (4 shared papers)Gerald Webersinke (3 shared papers)Sushilla van Schoonhoven (7 shared papers)Matthias Preusser (3 shared papers)
- Journals
- Neuro-Oncology (10 papers)Oncotarget (4 papers)Cancers (4 papers)Acta Neuropathologica (3 papers)Cancer Cell (2 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Daniela Lötsch
46 papers receiving 2.4k citations
Daniela Lötsch's Hit Papers
Peers
Comparison fields: 5 of 91
- Genetics 980
- Cancer Research 436
- Internal Medicine 91
- Neurology 334
- Oncology 416
Countries citing papers authored by Daniela Lötsch
This map shows the geographic impact of Daniela Lötsch'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 Lötsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Lötsch more than expected).
Fields of papers citing papers by Daniela Lötsch
This network shows the impact of papers produced by Daniela Lötsch. 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 Lötsch. The network helps show where Daniela Lötsch may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Lötsch, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | New Brain Tumor Entities Emerge from Molecular Classification of CNS-PNETs Hit paper breakdown → | 2016 | 716 |
| 2 | 2019 | 285 | |
| 3 | 2017 | 198 | |
| 4 | 2018 | 114 | |
| 5 | 2020 | 112 | |
| 6 | 2015 | 111 | |
| 7 | 2009 | 73 | |
| 8 | 2015 | 62 | |
| 9 | 2013 | 58 | |
| 10 | 2016 | 55 | |
| 11 | 2012 | 54 | |
| 12 | 2012 | 52 | |
| 13 | 2013 | 48 | |
| 14 | 2016 | 43 | |
| 15 | 2018 | 31 | |
| 16 | 2020 | 30 | |
| 17 | 2017 | 30 | |
| 18 | 2023 | 30 | |
| 19 | 2012 | 29 | |
| 20 | 2019 | 28 |
About Daniela Lötsch
Daniela Lötsch is a scholar working on Genetics, Cancer Research, Oncology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 46 papers that have together received 2.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (17 papers), Cancer Genomics and Diagnostics (4 papers), Single-cell and spatial transcriptomics (4 papers), Cancer Cells and Metastasis (4 papers), Neuroblastoma Research and Treatments (3 papers), Fibroblast Growth Factor Research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Sarcoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Genetics (980 citations), Cancer Research (436 citations), Internal Medicine (91 citations), Neurology (334 citations) and Oncology (416 citations). Daniela Lötsch has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Walter Berger, Sabine Spiegl‐Kreinecker, Christine Pirker, Serge Weis, Josef Pichler, Gerald Webersinke, Sushilla van Schoonhoven, Matthias Preusser, Christine Marosi and M. Micksche. Their work appears in journals such as Neuro-Oncology, Oncotarget, Cancers, Acta Neuropathologica and Cancer Cell.
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.