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
- Microbial Metabolic Engineering and Bioproduction 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Fungal and yeast genetics research 1
- Genetics 5
- Bacterial Genetics and Biotechnology 5
- Co-authors
- Christophe Danelon (5 shared papers)Elisa Godino (3 shared papers)David Foschepoth (2 shared papers)Anthony Forster (1 shared paper)Frank J. Bruggeman (2 shared papers)Mercedes Jiménez (1 shared paper)Germán Rivas (1 shared paper)Pauline van Nies (1 shared paper)
- Journals
- Nature Biotechnology (2 papers)Communications Biology (2 papers)Scientific Reports (2 papers)Nature Communications (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (1 paper)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Anne Doerr
9 papers receiving 234 citations
Peers
Comparison fields: 5 of 43
- Molecular Biology 195
- Genetics 56
- Ecology 36
- Biomedical Engineering 47
- 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 16 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 | 72 | |
| 2 | 2019 | 47 | |
| 3 | 2020 | 39 | |
| 4 | 2017 | 31 | |
| 5 | 2021 | 31 | |
| 6 | 2016 | 8 | |
| 7 | 2022 | 5 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 1 |
About Anne Doerr
Anne Doerr is a scholar working on Molecular Biology, Genetics, Ecology, Cell Biology and Materials Chemistry, having authored 9 papers that have together received 238 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Bacterial Genetics and Biotechnology (5 papers), Bacteriophages and microbial interactions (4 papers), Gene Regulatory Network Analysis (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Enzyme Structure and Function (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Molecular Biology (195 citations), Genetics (56 citations), Ecology (36 citations), Biomedical Engineering (47 citations) and Biomaterials (13 citations). Anne Doerr has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Christophe Danelon, Elisa Godino, David Foschepoth, Anthony Forster, Frank J. Bruggeman, Mercedes Jiménez, Germán Rivas, Pauline van Nies, A. Wahl and Johan H. van Heerden. Their work appears in journals such as Nature Biotechnology, Communications Biology, Scientific Reports, Nature Communications and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.
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.