Anna Dittrich
Impact in
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- Immune Cell Function and Interaction
- interferon and immune responses
- Immune Response and Inflammation
- Immune cells in cancer
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- Cytokine Signaling Pathways and Interactions
Papers in
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- Protein Tyrosine Phosphatases 4
- Gene Regulatory Network Analysis 4
- Oncology 15
- Cytokine Signaling Pathways and Interactions 15
- Co-authors
- Fred Schaper (17 shared papers)Christina Khouri (5 shared papers)Pia Müller (1 shared paper)Alexandra Wolf (1 shared paper)Heinrich J. Huber (2 shared papers)Tom Quaiser (2 shared papers)Martin Mönnigmann (2 shared papers)Eric Bullinger (1 shared paper)
- Journals
- Cell Communication and Signaling (4 papers)Biological Chemistry (2 papers)Molecular BioSystems (2 papers)BMC Systems Biology (1 paper)FEBS Journal (1 paper)
- Partner nations
- GermanyUnited StatesBelgium
In The Last Decade
Anna Dittrich
25 papers receiving 556 citations
Peers
Comparison fields: 5 of 98
- Immunology 202
- Oncology 182
- Biological Psychiatry 10
- Cancer Research 57
- Neurology 27
Countries citing papers authored by Anna Dittrich
This map shows the geographic impact of Anna Dittrich'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 Anna Dittrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Dittrich more than expected).
Fields of papers citing papers by Anna Dittrich
This network shows the impact of papers produced by Anna Dittrich. 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 Anna Dittrich. The network helps show where Anna Dittrich may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Dittrich, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 136 | |
| 2 | 2019 | 112 | |
| 3 | 2019 | 43 | |
| 4 | 2016 | 39 | |
| 5 | 2011 | 36 | |
| 6 | 2021 | 35 | |
| 7 | 2015 | 35 | |
| 8 | 2012 | 28 | |
| 9 | 2011 | 26 | |
| 10 | 2013 | 14 | |
| 11 | 2018 | 12 | |
| 12 | 2011 | 10 | |
| 13 | 2019 | 9 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 5 | |
| 16 | 2025 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2012 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2023 | 2 |
About Anna Dittrich
Anna Dittrich is a scholar working on Molecular Biology, Oncology, Immunology, Pharmacology and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 567 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (15 papers), Protein Tyrosine Phosphatases (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Gene Regulatory Network Analysis (4 papers), Pharmacological Effects of Natural Compounds (3 papers), NF-κB Signaling Pathways (3 papers), Computational Drug Discovery Methods (2 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Immunology (202 citations), Oncology (182 citations), Biological Psychiatry (10 citations), Cancer Research (57 citations) and Neurology (27 citations). Anna Dittrich has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Fred Schaper, Christina Khouri, Pia Müller, Alexandra Wolf, Heinrich J. Huber, Tom Quaiser, Martin Mönnigmann, Eric Bullinger, Stefan Streif and Rolf Findeisen. Their work appears in journals such as Cell Communication and Signaling, Biological Chemistry, Molecular BioSystems, BMC Systems Biology and FEBS Journal.
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.