Anne Doerr
Impact in
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- Origins and Evolution of Life
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- RNA and protein synthesis mechanisms
- Lipid Membrane Structure and Behavior
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
Papers in
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- RNA and protein synthesis mechanisms 3
- Gene Regulatory Network Analysis 2
- Fungal and yeast genetics research 2
- Microbial Metabolic Engineering and Bioproduction 1
- Single-cell and spatial transcriptomics 1
- Genetics 4
- Bacterial Genetics and Biotechnology 3
- Co-authors
- Christophe Danelon (6 shared papers)David Foschepoth (2 shared papers)Anthony C. Forster (1 shared paper)Marileen Dogterom (1 shared paper)Mercedes Jiménez (1 shared paper)Germán Rivas (1 shared paper)Frank J. Bruggeman (2 shared papers)Johan H. van Heerden (1 shared paper)
- Journals
- Nature Biotechnology (5 papers)Scientific Reports (2 papers)Communications Biology (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (1 paper)Nature Communications (1 paper)
- Partner nations
- NetherlandsGermanySweden
In The Last Decade
Anne Doerr
13 papers receiving 296 citations
Peers
Comparison fields: 5 of 42
- Astronomy and Astrophysics 80
- Molecular Biology 216
- Cell Biology 27
- Genetics 38
- Biophysics 9
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 | 85 | |
| 2 | 2019 | 48 | |
| 3 | 2020 | 46 | |
| 4 | 2017 | 34 | |
| 5 | 2021 | 32 | |
| 6 | 2021 | 30 | |
| 7 | 2016 | 8 | |
| 8 | 2022 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2024 | 5 | |
| 11 | 2022 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 1 |
About Anne Doerr
Anne Doerr is a scholar working on Molecular Biology, Genetics, Cell Biology, Aging and Biotechnology, having authored 13 papers that have together received 303 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Bacterial Genetics and Biotechnology (3 papers), Microtubule and mitosis dynamics (2 papers), Gene Regulatory Network Analysis (2 papers), Fungal and yeast genetics research (2 papers), Origins and Evolution of Life (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Astronomy and Astrophysics (80 citations), Molecular Biology (216 citations), Cell Biology (27 citations), Genetics (38 citations) and Biophysics (9 citations). Anne Doerr has collaborated with scholars based in Netherlands, Germany and Sweden. Frequent co-authors include Christophe Danelon, David Foschepoth, Anthony C. Forster, Marileen Dogterom, Mercedes Jiménez, Germán Rivas, Frank J. Bruggeman, Johan H. van Heerden, A. Wahl and Pauline van Nies. Their work appears in journals such as Nature Biotechnology, Scientific Reports, Communications Biology, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Nature Communications.
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.