Lena Nitsch
Impact in
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- Cancer Genomics and Diagnostics
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- Mitochondrial Function and Pathology
- Single-cell and spatial transcriptomics
- Wnt/β-catenin signaling in development and cancer
- Extracellular vesicles in disease
- Epigenetics and DNA Methylation
Papers in
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- Single-cell and spatial transcriptomics 1
- Protein Degradation and Inhibitors 1
- CRISPR and Genetic Engineering 1
- Wnt/β-catenin signaling in development and cancer 1
- Mitochondrial Function and Pathology 1
- Ubiquitin and proteasome pathways 1
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- Cancer Genomics and Diagnostics 2
- Co-authors
- Caleb A. Lareau (1 shared paper)Karen Linnemannstöns (1 shared paper)Ferdi Grawe (1 shared paper)Ansuman T. Satpathy (1 shared paper)Julia Christina Gross (1 shared paper)Leonie Witte (1 shared paper)Leif S. Ludwig (2 shared papers)Karin Pelka (1 shared paper)
- Journals
- Leukemia (1 paper)Nature Genetics (1 paper)Cell Reports Methods (1 paper)Nature Protocols (1 paper)Development (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Lena Nitsch
4 papers receiving 83 citations
Peers
Comparison fields: 5 of 32
- Cancer Research 17
- Molecular Biology 71
- Biological Psychiatry 2
- Clinical Biochemistry 5
- Cell Biology 11
Countries citing papers authored by Lena Nitsch
This map shows the geographic impact of Lena Nitsch'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 Lena Nitsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lena Nitsch more than expected).
Fields of papers citing papers by Lena Nitsch
This network shows the impact of papers produced by Lena Nitsch. 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 Lena Nitsch. The network helps show where Lena Nitsch may publish in the future.
Co-authors
The 25 scholars most cited alongside Lena Nitsch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 33 | |
| 2 | 2020 | 24 | |
| 3 | 2024 | 19 | |
| 4 | 2022 | 9 | |
| 5 | 2025 | 0 |
About Lena Nitsch
Lena Nitsch is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Genetics and Immunology, having authored 5 papers that have together received 85 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Single-cell and spatial transcriptomics (1 paper), Protein Degradation and Inhibitors (1 paper), Invertebrate Immune Response Mechanisms (1 paper), CRISPR and Genetic Engineering (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper), Mitochondrial Function and Pathology (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cancer Research (17 citations), Molecular Biology (71 citations), Biological Psychiatry (2 citations), Clinical Biochemistry (5 citations) and Cell Biology (11 citations). Lena Nitsch has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Caleb A. Lareau, Karen Linnemannstöns, Ferdi Grawe, Ansuman T. Satpathy, Julia Christina Gross, Leonie Witte, Leif S. Ludwig, Karin Pelka, Samantha D. Praktiknjo and Christoph Muus. Their work appears in journals such as Leukemia, Nature Genetics, Cell Reports Methods, Nature Protocols and Development.
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.