Daniel E. Otzen
- Physiology top 0.1%
- Alzheimer's disease research and treatments 116
- Molecular Biology top 0.2%
- Protein Structure and Dynamics 107
- Lipid Membrane Structure and Behavior 62
- Protein Interaction Studies and Fluorescence Analysis 25
- Bacterial biofilms and quorum sensing 24
- Biomaterials top 0.2%
- Neurology top 0.5%
- Parkinson's Disease Mechanisms and Treatments 66
- Microbiology top 0.5%
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- Enzyme Structure and Function 47
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- Bacterial Genetics and Biotechnology 24
- Co-authors
- Sven FrøkjærLaura S. ItzhakiGunna ChristiansenMikael OlivebergPer Halkjær NielsenAlan R. FershtJan Skov PedersenLise Giehm
- Journals
- Biochemistry (34 papers)Journal of Molecular Biology (32 papers)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (28 papers)
- Partner nations
- DenmarkUnited StatesUnited Kingdom
In The Last Decade
Daniel E. Otzen
426 papers receiving 20.6k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Physiology 5.8k
- Molecular Biology 13.5k
- Biomaterials 2.4k
- Neurology 2.3k
- Microbiology 591
Countries citing papers authored by Daniel E. Otzen
This map shows the geographic impact of Daniel E. Otzen'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 Daniel E. Otzen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Otzen more than expected).
Fields of papers citing papers by Daniel E. Otzen
This network shows the impact of papers produced by Daniel E. Otzen. 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 Daniel E. Otzen. The network helps show where Daniel E. Otzen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel E. Otzen, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 22 | |
| 10 | 2022 | 44 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 18 | |
| 13 | 2021 | 1 | |
| 14 | 2020 | 26 | |
| 15 | 2020 | 16 | |
| 16 | 2020 | 20 | |
| 17 | 2017 | 6 | |
| 18 | 2016 | 35 | |
| 19 | 2007 | 20 | |
| 20 | 2005 | 25 |
About Daniel E. Otzen
Daniel E. Otzen is a scholar working on Physiology, Neurology and Molecular Biology, having authored 435 papers that have together received 20.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (116 papers), Protein Structure and Dynamics (107 papers), Parkinson's Disease Mechanisms and Treatments (66 papers), Lipid Membrane Structure and Behavior (62 papers), Enzyme Structure and Function (47 papers), Protein Interaction Studies and Fluorescence Analysis (25 papers), Bacterial biofilms and quorum sensing (24 papers) and Bacterial Genetics and Biotechnology (24 papers). The work is most often cited by research in Physiology (5.8k citations), Molecular Biology (13.5k citations) and Biomaterials (2.4k citations). Daniel E. Otzen has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Sven Frøkjær, Laura S. Itzhaki, Gunna Christiansen, Mikael Oliveberg, Per Halkjær Nielsen, Alan R. Fersht, Jan Skov Pedersen, Lise Giehm, Jesper Søndergaard Pedersen and Jesper E. Mogensen. Their work appears in journals such as Biochemistry, Journal of Molecular Biology, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Journal of Biological Chemistry and Biophysical 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.