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
-
- Protein Structure and Dynamics 2
- Receptor Mechanisms and Signaling 1
- Pluripotent Stem Cells Research 1
-
- Computational Drug Discovery Methods 5
- Co-authors
- Jayesh A. Kulkarni (1 shared paper)Wim Jiskoot (1 shared paper)Dominik Witzigmann (1 shared paper)Rein Verbeke (1 shared paper)Gideon Kersten (1 shared paper)Daan J.A. Crommelin (1 shared paper)Gerard J. P. van Westen (5 shared papers)Willem Jespers (3 shared papers)
- Journals
- Journal of Cheminformatics (2 papers)Journal of Chemical Information and Modeling (2 papers)The Journal of Physical Chemistry B (1 paper)Microscopy and Microanalysis (1 paper)International Journal of Pharmaceutics (1 paper)
- Partner nations
- NetherlandsBelgiumCzechia
In The Last Decade
Linde Schoenmaker
6 papers receiving 1.1k citations
Linde Schoenmaker's Hit Papers
Peers
Comparison fields: 5 of 94
- Infectious Diseases 237
- Molecular Biology 803
- Pharmaceutical Science 65
- Immunology 178
- Biomaterials 117
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 23 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 | 1093 |
| 2 | 2023 | 20 | |
| 3 | 2023 | 19 | |
| 4 | 2025 | 4 | |
| 5 | 2024 | 4 | |
| 6 | 2022 | 1 | |
| 7 | 2025 | 0 |
About Linde Schoenmaker
Linde Schoenmaker is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Infectious Diseases and Pharmacology, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Machine Learning in Materials Science (4 papers), Protein Structure and Dynamics (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper), Neuroscience and Neural Engineering (1 paper), Microbial Natural Products and Biosynthesis (1 paper), Receptor Mechanisms and Signaling (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Infectious Diseases (237 citations), Molecular Biology (803 citations), Pharmaceutical Science (65 citations), Immunology (178 citations) and Biomaterials (117 citations). Linde Schoenmaker has collaborated with scholars based in Netherlands, Belgium and Czechia. Frequent co-authors include Jayesh A. Kulkarni, Wim Jiskoot, Dominik Witzigmann, Rein Verbeke, Gideon Kersten, Daan J.A. Crommelin, Gerard J. P. van Westen, Willem Jespers, Martin Šícho and Laura H. Heitman. Their work appears in journals such as Journal of Cheminformatics, Journal of Chemical Information and Modeling, The Journal of Physical Chemistry B, 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.