Daniel Sasse
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Surfaces, Coatings and Films top 10%
- Polymer Surface Interaction Studies
Papers in
-
- COVID-19 diagnosis using AI 2
- Radiation Dose and Imaging 2
- Radiomics and Machine Learning in Medical Imaging 2
- Medical Imaging Techniques and Applications 1
- Co-authors
- Pilar Rivera-Gil (2 shared papers)Wolfgang Johann Parak (2 shared papers)Dominik Hühn (1 shared paper)Loretta L. del Mercato (1 shared paper)Hans‐Peter Elsässer (1 shared paper)Rafael Fernández‐Chacón (1 shared paper)Susana Carregal‐Romero (1 shared paper)Verena Wulf (1 shared paper)
- Journals
- PLoS ONE (2 papers)Journal of Clinical Medicine (1 paper)Pharmacological Research (1 paper)ACS Nano (1 paper)European Radiology Experimental (1 paper)
- Partner nations
- GermanyUnited KingdomSpain
In The Last Decade
Daniel Sasse
8 papers receiving 437 citations
Peers
Comparison fields: 5 of 86
- Biomaterials 173
- Surfaces, Coatings and Films 51
- Pharmaceutical Science 27
- Health Informatics 6
- Biomedical Engineering 155
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 | 178 | |
| 2 | 2010 | 177 | |
| 3 | 2020 | 39 | |
| 4 | 2021 | 21 | |
| 5 | 2021 | 15 | |
| 6 | 2022 | 10 | |
| 7 | 2021 | 5 | |
| 8 | 2024 | 2 | |
| 9 | 2025 | 0 |
About Daniel Sasse
Daniel Sasse is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surfaces, Coatings and Films, Biomaterials and Polymers and Plastics, having authored 9 papers that have together received 447 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (2 papers), Radiation Dose and Imaging (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Diagnosis and treatment of tuberculosis (1 paper), Nanoparticle-Based Drug Delivery (1 paper), Medical Imaging Techniques and Applications (1 paper), Laser-Ablation Synthesis of Nanoparticles (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Biomaterials (173 citations), Surfaces, Coatings and Films (51 citations), Pharmaceutical Science (27 citations), Health Informatics (6 citations) and Biomedical Engineering (155 citations). Daniel Sasse has collaborated with scholars based in Germany, United Kingdom and Spain. Frequent co-authors include Pilar Rivera-Gil, Wolfgang Johann Parak, Dominik Hühn, Loretta L. del Mercato, Hans‐Peter Elsässer, Rafael Fernández‐Chacón, Susana Carregal‐Romero, Verena Wulf, Raimo Hartmann and José A. Martínez‐López. Their work appears in journals such as PLoS ONE, Journal of Clinical Medicine, Pharmacological Research, ACS Nano and European Radiology Experimental.
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.