Anne Doerr
Impact in
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- RNA and protein synthesis mechanisms
- Lipid Membrane Structure and Behavior
- CRISPR and Genetic Engineering
- Gene Regulatory Network Analysis
- Advanced biosensing and bioanalysis techniques
- Viral Infectious Diseases and Gene Expression in Insects
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- Bacterial Genetics and Biotechnology
Papers in
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- RNA and protein synthesis mechanisms 5
- Gene Regulatory Network Analysis 2
- Single-cell and spatial transcriptomics 1
- Machine Learning in Bioinformatics 1
- Microbial Metabolic Engineering and Bioproduction 1
- Genetics 5
- Bacterial Genetics and Biotechnology 5
- Co-authors
- Christophe Danelon (5 shared papers)David Foschepoth (2 shared papers)Anthony Forster (1 shared paper)A. Wahl (1 shared paper)Frank J. Bruggeman (2 shared papers)Pauline van Nies (1 shared paper)Johan H. van Heerden (1 shared paper)Mercedes Jiménez (1 shared paper)
- Journals
- Scientific Reports (2 papers)Communications Biology (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (1 paper)Physical Biology (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- NetherlandsSwedenSpain
In The Last Decade
Anne Doerr
8 papers receiving 228 citations
Peers
Comparison fields: 5 of 43
- Molecular Biology 195
- Genetics 56
- Ecology 35
- Biomedical Engineering 48
- Biomaterials 13
Countries citing papers authored by Anne Doerr
This map shows the geographic impact of Anne Doerr'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 Anne Doerr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Doerr more than expected).
Fields of papers citing papers by Anne Doerr
This network shows the impact of papers produced by Anne Doerr. 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 Anne Doerr. The network helps show where Anne Doerr may publish in the future.
Co-authors
The 15 scholars most cited alongside Anne Doerr, 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 | 2019 | 71 | |
| 2 | 2019 | 46 | |
| 3 | 2020 | 38 | |
| 4 | 2017 | 31 | |
| 5 | 2021 | 29 | |
| 6 | 2016 | 8 | |
| 7 | 2022 | 5 | |
| 8 | 2024 | 4 |
About Anne Doerr
Anne Doerr is a scholar working on Molecular Biology, Genetics, Ecology, Cell Biology and Materials Chemistry, having authored 8 papers that have together received 232 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), RNA and protein synthesis mechanisms (5 papers), Bacteriophages and microbial interactions (4 papers), Gene Regulatory Network Analysis (2 papers), Single-cell and spatial transcriptomics (1 paper), Machine Learning in Bioinformatics (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Molecular Biology (195 citations), Genetics (56 citations), Ecology (35 citations), Biomedical Engineering (48 citations) and Biomaterials (13 citations). Anne Doerr has collaborated with scholars based in Netherlands, Sweden and Spain. Frequent co-authors include Christophe Danelon, David Foschepoth, Anthony Forster, A. Wahl, Frank J. Bruggeman, Pauline van Nies, Johan H. van Heerden, Mercedes Jiménez, Germán Rivas and Niclas Nordholt. Their work appears in journals such as Scientific Reports, Communications Biology, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Physical Biology and Nature Biotechnology.
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.