Rick Oerlemans
Impact in
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- Computational Drug Discovery Methods
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- SARS-CoV-2 and COVID-19 Research
Papers in
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- Biochemical and Molecular Research 3
- Plant biochemistry and biosynthesis 3
- Chemical Synthesis and Analysis 2
- Steroid Chemistry and Biochemistry 1
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- Computational Drug Discovery Methods 4
- Co-authors
- Matthew R. Groves (9 shared papers)Kai Gao (1 shared paper)Yingying Cong (2 shared papers)Alexander Dömlingꝉ (3 shared papers)Angel J. Ruiz‐Moreno (1 shared paper)Carlos J. Camacho (2 shared papers)Marco A. Velasco‐Velázquez (1 shared paper)Constantinos G. Neochoritis (1 shared paper)
- Journals
- Angewandte Chemie International Edition (1 paper)Scientific Reports (1 paper)RSC Medicinal Chemistry (1 paper)Journal of Agricultural and Food Chemistry (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Rick Oerlemans
12 papers receiving 346 citations
Peers
Comparison fields: 5 of 70
- Computational Theory and Mathematics 83
- Infectious Diseases 68
- Molecular Biology 226
- Physical and Theoretical Chemistry 20
- Biotechnology 15
Countries citing papers authored by Rick Oerlemans
This map shows the geographic impact of Rick Oerlemans'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 Rick Oerlemans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rick Oerlemans more than expected).
Fields of papers citing papers by Rick Oerlemans
This network shows the impact of papers produced by Rick Oerlemans. 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 Rick Oerlemans. The network helps show where Rick Oerlemans may publish in the future.
Co-authors
The 25 scholars most cited alongside Rick Oerlemans, 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 | 2020 | 164 | |
| 2 | 2020 | 58 | |
| 3 | 2021 | 29 | |
| 4 | 2021 | 24 | |
| 5 | 2021 | 20 | |
| 6 | 2023 | 14 | |
| 7 | 2022 | 12 | |
| 8 | 2017 | 10 | |
| 9 | 2023 | 9 | |
| 10 | 2021 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2024 | 1 |
About Rick Oerlemans
Rick Oerlemans is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Infectious Diseases and Pharmacology, having authored 12 papers that have together received 348 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Biochemical and Molecular Research (3 papers), Plant biochemistry and biosynthesis (3 papers), Enzyme Structure and Function (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Chemical Synthesis and Analysis (2 papers), Metabolism and Genetic Disorders (1 paper) and Steroid Chemistry and Biochemistry (1 paper). The work is most often cited by research in Computational Theory and Mathematics (83 citations), Infectious Diseases (68 citations), Molecular Biology (226 citations), Physical and Theoretical Chemistry (20 citations) and Biotechnology (15 citations). Rick Oerlemans has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Matthew R. Groves, Kai Gao, Yingying Cong, Alexander Dömlingꝉ, Angel J. Ruiz‐Moreno, Carlos J. Camacho, Marco A. Velasco‐Velázquez, Constantinos G. Neochoritis, Fulvio Reggiori and Kristina Haslinger. Their work appears in journals such as Angewandte Chemie International Edition, Scientific Reports, RSC Medicinal Chemistry, Journal of Agricultural and Food Chemistry and Cell Death and Disease.
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.