Daniel Sasse
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Surfaces, Coatings and Films top 10%
- Polymer Surface Interaction Studies
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 2
- Radiation Dose and Imaging 2
- COVID-19 diagnosis using AI 2
-
- Blood properties and coagulation 1
- Co-authors
- Pilar Rivera Gil (2 shared papers)Wolfgang J. Parak (2 shared papers)Dominik Hühn (1 shared paper)Loretta L. del Mercato (1 shared paper)José A. Martínez‐López (1 shared paper)Raimo Hartmann (1 shared paper)Susana Carregal‐Romero (1 shared paper)Verena Wulf (1 shared paper)
- Journals
- PLoS ONE (2 papers)Pharmacological Research (1 paper)ACS Nano (1 paper)European Radiology Experimental (1 paper)Journal of Clinical Medicine (1 paper)
- Partner nations
- GermanyUnited KingdomSpain
In The Last Decade
Daniel Sasse
9 papers receiving 401 citations
Peers
Comparison fields: 5 of 85
- Biomaterials 148
- Surfaces, Coatings and Films 50
- Health Informatics 6
- Pharmaceutical Science 25
- Biomedical Engineering 131
Countries citing papers authored by Daniel Sasse
This map shows the geographic impact of Daniel Sasse'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 Sasse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Sasse more than expected).
Fields of papers citing papers by Daniel Sasse
This network shows the impact of papers produced by Daniel Sasse. 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 Sasse. The network helps show where Daniel Sasse may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Sasse, 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 | 2013 | 175 | |
| 2 | 2010 | 146 | |
| 3 | 2020 | 37 | |
| 4 | 2021 | 17 | |
| 5 | 2021 | 14 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 5 | |
| 8 | 2024 | 1 | |
| 9 | [Survival ability of Leptospira pomona in kidney and muscle tissue of slaughtered pigs in freezing temperatures]. | 1978 | 1 |
| 10 | 2025 | 0 |
About Daniel Sasse
Daniel Sasse is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Surgery and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 404 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Radiation Dose and Imaging (2 papers), COVID-19 diagnosis using AI (2 papers), Blood properties and coagulation (1 paper), Laser-Ablation Synthesis of Nanoparticles (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Advanced X-ray and CT Imaging (1 paper) and Polymer Surface Interaction Studies (1 paper). The work is most often cited by research in Biomaterials (148 citations), Surfaces, Coatings and Films (50 citations), Health Informatics (6 citations), Pharmaceutical Science (25 citations) and Biomedical Engineering (131 citations). Daniel Sasse has collaborated with scholars based in Germany, United Kingdom and Spain. Frequent co-authors include Pilar Rivera Gil, Wolfgang J. Parak, Dominik Hühn, Loretta L. del Mercato, José A. Martínez‐López, Raimo Hartmann, Susana Carregal‐Romero, Verena Wulf, Rafael Fernández‐Chacón and Hans‐Peter Elsässer. Their work appears in journals such as PLoS ONE, Pharmacological Research, ACS Nano, European Radiology Experimental and Journal of Clinical Medicine.
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.