Anja Nitzsche
Impact in
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Pluripotent Stem Cells Research
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
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- Sphingolipid Metabolism and Signaling 5
- CRISPR and Genetic Engineering 2
- Pluripotent Stem Cells Research 2
- Ion channel regulation and function 2
- RNA modifications and cancer 2
- RNA Research and Splicing 2
- Angiogenesis and VEGF in Cancer 2
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- Pain Mechanisms and Treatments 2
- Co-authors
- Frank Buchholz (2 shared papers)Herbert Schulz (2 shared papers)Maciej Paszkowski‐Rogacz (2 shared papers)Li Ding (2 shared papers)Ingrid de Vries (1 shared paper)Matthias Mann (1 shared paper)Filomena Matarese (1 shared paper)Nina C. Hubner (1 shared paper)
- Journals
- Nature Methods (2 papers)PLoS ONE (2 papers)Cell stem cell (1 paper)eLife (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Anja Nitzsche
17 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 1.0k
- Cell Biology 200
- Aging 19
- Cancer Research 107
- Biophysics 43
Countries citing papers authored by Anja Nitzsche
This map shows the geographic impact of Anja Nitzsche'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 Anja Nitzsche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anja Nitzsche more than expected).
Fields of papers citing papers by Anja Nitzsche
This network shows the impact of papers produced by Anja Nitzsche. 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 Anja Nitzsche. The network helps show where Anja Nitzsche may publish in the future.
Co-authors
The 25 scholars most cited alongside Anja Nitzsche, 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 | 2008 | 510 | |
| 2 | 2009 | 222 | |
| 3 | 2016 | 166 | |
| 4 | 2020 | 97 | |
| 5 | 2011 | 95 | |
| 6 | 2012 | 50 | |
| 7 | 2020 | 35 | |
| 8 | 2021 | 31 | |
| 9 | 2011 | 30 | |
| 10 | 2007 | 29 | |
| 11 | 2019 | 19 | |
| 12 | 2012 | 13 | |
| 13 | 2017 | 12 | |
| 14 | 2020 | 11 | |
| 15 | 2023 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2024 | 4 | |
| 18 | 2026 | 0 |
About Anja Nitzsche
Anja Nitzsche is a scholar working on Molecular Biology, Physiology, Cell Biology, Immunology and Developmental Neuroscience, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (5 papers), CRISPR and Genetic Engineering (2 papers), Pluripotent Stem Cells Research (2 papers), Ion channel regulation and function (2 papers), RNA modifications and cancer (2 papers), Pain Mechanisms and Treatments (2 papers), RNA Research and Splicing (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Cell Biology (200 citations), Aging (19 citations), Cancer Research (107 citations) and Biophysics (43 citations). Anja Nitzsche has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Frank Buchholz, Herbert Schulz, Maciej Paszkowski‐Rogacz, Li Ding, Ingrid de Vries, Matthias Mann, Filomena Matarese, Nina C. Hubner, Norbert Huebner and Hendrik G. Stunnenberg. Their work appears in journals such as Nature Methods, PLoS ONE, Cell stem cell, eLife and Nature Neuroscience.
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.