Mareike Daniela Hoffmann
Impact in
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- Innovation and Socioeconomic Development
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
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- CRISPR and Genetic Engineering 9
- RNA and protein synthesis mechanisms 4
- Advanced biosensing and bioanalysis techniques 3
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- Lipid metabolism and biosynthesis 3
- Co-authors
- Dominik Niopek (9 shared papers)Roland Eils (7 shared papers)Sabine Aschenbrenner (5 shared papers)Dirk Grimm (4 shared papers)Ivo Feußner (2 shared papers)Julia Fakhiri (2 shared papers)Kathleen Börner (2 shared papers)Martin Wagner (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Journal of Biological Chemistry (2 papers)Science Advances (1 paper)Nature Machine Intelligence (1 paper)ACS Nano (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Mareike Daniela Hoffmann
20 papers receiving 829 citations
Peers
Comparison fields: 5 of 87
- Business and International Management 67
- Biochemistry 110
- Aging 19
- Molecular Biology 567
- Immunology 104
Countries citing papers authored by Mareike Daniela Hoffmann
This map shows the geographic impact of Mareike Daniela Hoffmann'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 Mareike Daniela Hoffmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mareike Daniela Hoffmann more than expected).
Fields of papers citing papers by Mareike Daniela Hoffmann
This network shows the impact of papers produced by Mareike Daniela Hoffmann. 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 Mareike Daniela Hoffmann. The network helps show where Mareike Daniela Hoffmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Mareike Daniela Hoffmann, 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 | 2018 | 163 | |
| 2 | 2012 | 96 | |
| 3 | 2008 | 94 | |
| 4 | 2019 | 91 | |
| 5 | 1985 | 69 | |
| 6 | 2008 | 66 | |
| 7 | 2012 | 51 | |
| 8 | 2020 | 49 | |
| 9 | 2020 | 36 | |
| 10 | 2007 | 35 | |
| 11 | 2018 | 25 | |
| 12 | 2019 | 19 | |
| 13 | 2020 | 17 | |
| 14 | 2020 | 15 | |
| 15 | 2023 | 11 | |
| 16 | 2024 | 9 | |
| 17 | 2017 | 6 | |
| 18 | 2025 | 4 | |
| 19 | 2022 | 1 | |
| 20 | 2020 | 1 |
About Mareike Daniela Hoffmann
Mareike Daniela Hoffmann is a scholar working on Molecular Biology, Biochemistry, Business and International Management, Cellular and Molecular Neuroscience and Oncology, having authored 20 papers that have together received 858 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), RNA and protein synthesis mechanisms (4 papers), Lipid metabolism and biosynthesis (3 papers), Photoreceptor and optogenetics research (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Innovation and Socioeconomic Development (2 papers), CAR-T cell therapy research (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Business and International Management (67 citations), Biochemistry (110 citations), Aging (19 citations), Molecular Biology (567 citations) and Immunology (104 citations). Mareike Daniela Hoffmann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Dominik Niopek, Roland Eils, Sabine Aschenbrenner, Dirk Grimm, Ivo Feußner, Julia Fakhiri, Kathleen Börner, Martin Wagner, Martin S. Fulda and Felix Bubeck. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry, Science Advances, Nature Machine Intelligence and ACS Nano.
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.