Linde Schoenmaker
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Molecular Biology top 10%
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Lipid Membrane Structure and Behavior
Papers in
-
- Pluripotent Stem Cells Research 1
- Protein Structure and Dynamics 1
-
- Computational Drug Discovery Methods 4
- Co-authors
- Gideon Kersten (1 shared paper)Dominik Witzigmann (1 shared paper)Jayesh A. Kulkarni (1 shared paper)Rein Verbeke (1 shared paper)Wim Jiskoot (1 shared paper)Daan J.A. Crommelin (1 shared paper)Gerard J. P. van Westen (4 shared papers)Willem Jespers (2 shared papers)
- Journals
- Journal of Cheminformatics (2 papers)Journal of Chemical Information and Modeling (2 papers)Microscopy and Microanalysis (1 paper)International Journal of Pharmaceutics (1 paper)
- Partner nations
- NetherlandsCzechiaBelgium
In The Last Decade
Linde Schoenmaker
6 papers receiving 1.0k citations
Linde Schoenmaker's Hit Papers
Peers
Comparison fields: 5 of 97
- Infectious Diseases 244
- Molecular Biology 765
- Pharmaceutical Science 63
- Immunology 186
- Biomaterials 115
Countries citing papers authored by Linde Schoenmaker
This map shows the geographic impact of Linde Schoenmaker'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 Linde Schoenmaker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linde Schoenmaker more than expected).
Fields of papers citing papers by Linde Schoenmaker
This network shows the impact of papers produced by Linde Schoenmaker. 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 Linde Schoenmaker. The network helps show where Linde Schoenmaker may publish in the future.
Co-authors
The 18 scholars most cited alongside Linde Schoenmaker, 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 | mRNA-lipid nanoparticle COVID-19 vaccines: Structure and stability Hit paper breakdown → | 2021 | 1013 |
| 2 | 2023 | 19 | |
| 3 | 2023 | 18 | |
| 4 | 2024 | 4 | |
| 5 | 2025 | 2 | |
| 6 | 2022 | 1 |
About Linde Schoenmaker
Linde Schoenmaker is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Infectious Diseases and Pharmacology, having authored 6 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Machine Learning in Materials Science (3 papers), Cell Image Analysis Techniques (1 paper), Neuroscience and Neural Engineering (1 paper), Pluripotent Stem Cells Research (1 paper), Protein Structure and Dynamics (1 paper), Microbial Natural Products and Biosynthesis (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Infectious Diseases (244 citations), Molecular Biology (765 citations), Pharmaceutical Science (63 citations), Immunology (186 citations) and Biomaterials (115 citations). Linde Schoenmaker has collaborated with scholars based in Netherlands, Czechia and Belgium. Frequent co-authors include Gideon Kersten, Dominik Witzigmann, Jayesh A. Kulkarni, Rein Verbeke, Wim Jiskoot, Daan J.A. Crommelin, Gerard J. P. van Westen, Willem Jespers, Martin Šícho and Verena Schwach. Their work appears in journals such as Journal of Cheminformatics, Journal of Chemical Information and Modeling, Microscopy and Microanalysis and International Journal of Pharmaceutics.
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.