Therese Dau
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
-
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune Response and Inflammation
Papers in
-
- Ubiquitin and proteasome pathways 2
- S100 Proteins and Annexins 2
- Protein Degradation and Inhibitors 2
-
- Cellular transport and secretion 4
- Biotin and Related Studies 2
- Co-authors
- Dieter E. Jenne (4 shared papers)Juri Rappsilber (4 shared papers)Veit Hornung (1 shared paper)Arun K. Mankan (1 shared paper)Kai Kessenbrock (1 shared paper)Oliver Brock (1 shared paper)Andrea Graziadei (1 shared paper)Zhuo A. Chen (1 shared paper)
- Journals
- Nature Communications (2 papers)Analytical Chemistry (2 papers)eLife (2 papers)Haematologica (1 paper)European Journal of Immunology (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Therese Dau
18 papers receiving 703 citations
Peers
Comparison fields: 5 of 93
- Spectroscopy 143
- Immunology 154
- Molecular Biology 421
- Structural Biology 6
- Cell Biology 57
Countries citing papers authored by Therese Dau
This map shows the geographic impact of Therese Dau'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 Therese Dau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Therese Dau more than expected).
Fields of papers citing papers by Therese Dau
This network shows the impact of papers produced by Therese Dau. 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 Therese Dau. The network helps show where Therese Dau may publish in the future.
Co-authors
The 25 scholars most cited alongside Therese Dau, 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 | 2011 | 165 | |
| 2 | 2019 | 151 | |
| 3 | 2023 | 91 | |
| 4 | 2010 | 80 | |
| 5 | 2020 | 63 | |
| 6 | 2009 | 51 | |
| 7 | 2019 | 28 | |
| 8 | 2015 | 26 | |
| 9 | 2022 | 22 | |
| 10 | 2021 | 14 | |
| 11 | 2016 | 4 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 |
About Therese Dau
Therese Dau is a scholar working on Molecular Biology, Cell Biology, Immunology, Spectroscopy and Surgery, having authored 18 papers that have together received 705 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), Cellular transport and secretion (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Immune Response and Inflammation (3 papers), Ubiquitin and proteasome pathways (2 papers), S100 Proteins and Annexins (2 papers), Protein Degradation and Inhibitors (2 papers) and Biotin and Related Studies (2 papers). The work is most often cited by research in Spectroscopy (143 citations), Immunology (154 citations), Molecular Biology (421 citations), Structural Biology (6 citations) and Cell Biology (57 citations). Therese Dau has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Dieter E. Jenne, Juri Rappsilber, Veit Hornung, Arun K. Mankan, Kai Kessenbrock, Oliver Brock, Andrea Graziadei, Zhuo A. Chen, Sven H. Giese and Martin Graham. Their work appears in journals such as Nature Communications, Analytical Chemistry, eLife, Haematologica and European Journal of Immunology.
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.