Daniel Lauster
Impact in
- Microbiology top 10%
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
Papers in ⓘ
-
- Lipid Membrane Structure and Behavior 6
- Glycosylation and Glycoproteins Research 6
- Epidemiology 17
- Influenza Virus Research Studies 16
- Co-authors
- Andreas Herrmann (24 shared papers)Rainer Haag (24 shared papers)Kai Ludwig (13 shared papers)Christoph Böttcher (8 shared papers)Sumati Bhatia (11 shared papers)Stephan Block (7 shared papers)Munir A. Al‐Zeer (1 shared paper)Markus Bardua (5 shared papers)
In The Last Decade
Daniel Lauster
41 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Microbiology 64
- Infectious Diseases 173
- Epidemiology 257
- Molecular Medicine 36
- Molecular Biology 486
Countries citing papers authored by Daniel Lauster
This map shows the geographic impact of Daniel Lauster'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 Lauster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lauster more than expected).
Fields of papers citing papers by Daniel Lauster
This network shows the impact of papers produced by Daniel Lauster. 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 Lauster. The network helps show where Daniel Lauster may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Lauster, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 95 | |
| 2 | Longitudinal effects of elexacaftor/tezacaftor/ivacaftor on sputum viscoelastic properties, airway infection and inflammation in patients with cystic fibrosis Hit paper breakdown → | 2023 | 94 |
| 3 | 2017 | 88 | |
| 4 | 2017 | 84 | |
| 5 | 2021 | 69 | |
| 6 | 2017 | 68 | |
| 7 | 2017 | 66 | |
| 8 | 2019 | 61 | |
| 9 | 2020 | 45 | |
| 10 | 2020 | 44 | |
| 11 | 2021 | 31 | |
| 12 | 2018 | 30 | |
| 13 | 2019 | 29 | |
| 14 | 2018 | 26 | |
| 15 | 2016 | 23 | |
| 16 | 2021 | 19 | |
| 17 | 2024 | 18 | |
| 18 | 2021 | 18 | |
| 19 | 2018 | 16 | |
| 20 | 2021 | 15 |
About Daniel Lauster
Daniel Lauster is a scholar working on Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 42 papers that have together received 1.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (16 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Lipid Membrane Structure and Behavior (6 papers), Glycosylation and Glycoproteins Research (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Proteoglycans and glycosaminoglycans research (5 papers), Cystic Fibrosis Research Advances (4 papers) and Neonatal Respiratory Health Research (4 papers). The work is most often cited by research in Microbiology (64 citations), Infectious Diseases (173 citations), Epidemiology (257 citations), Molecular Medicine (36 citations) and Molecular Biology (486 citations). Daniel Lauster has collaborated with scholars based in Germany, Iran and Canada. Frequent co-authors include Andreas Herrmann, Rainer Haag, Kai Ludwig, Christoph Böttcher, Sumati Bhatia, Stephan Block, Munir A. Al‐Zeer, Markus Bardua, Thomas F. Meyer and Hesham M. Al‐Younes. Their work appears in journals such as Angewandte Chemie International Edition, ChemBioChem, Biophysical Journal, Journal of the American Chemical Society and Small.
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.