Herman van Vlijmen
- Molecular Biology top 2%
- Computational Theory and Mathematics top 0.2%
- Materials Chemistry top 5%
- Organic Chemistry top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Martin KarplusYuan FengAndrej SăliAdriaan P. IJzermanGerard J. P. van WestenGary TresadernLaura Pérez‐BenitoJörg K. Wegner
- Topics
- Computational Drug Discovery Methods (34 papers)Protein Structure and Dynamics (20 papers)Receptor Mechanisms and Signaling (17 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Chemical Physics
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Herman van Vlijmen
95 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Molecular Biology 3.1k
- Computational Theory and Mathematics 1.3k
- Materials Chemistry 784
- Organic Chemistry 406
- Radiology, Nuclear Medicine and Imaging 377
Countries citing papers authored by Herman van Vlijmen
This map shows the geographic impact of Herman van Vlijmen'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 Herman van Vlijmen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Herman van Vlijmen more than expected).
Fields of papers citing papers by Herman van Vlijmen
This network shows the impact of papers produced by Herman van Vlijmen. 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 Herman van Vlijmen. The network helps show where Herman van Vlijmen may publish in the future.
Co-authorship network of co-authors of Herman van Vlijmen
This figure shows the co-authorship network connecting the top 25 collaborators of Herman van Vlijmen. A scholar is included among the top collaborators of Herman van Vlijmen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Herman van Vlijmen. Herman van Vlijmen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 45 | |
| 7 | 13 | |
| 8 | 34 | |
| 9 | 2 | |
| 10 | 77 | |
| 11 | 63 | |
| 12 | 15 | |
| 13 | 216 | |
| 14 | 18 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 14 | |
| 18 | 12 | |
| 19 | 69 | |
| 20 | 11 |
About Herman van Vlijmen
Herman van Vlijmen is a scholar working on Computational Theory and Mathematics, Virology and Molecular Biology, having authored 98 papers that have together received 4.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (34 papers), Protein Structure and Dynamics (20 papers) and Receptor Mechanisms and Signaling (17 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Molecular Biology (3.1k citations) and Physiology (101 citations). Herman van Vlijmen has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Martin Karplus, Yuan Feng, Andrej Săli, Adriaan P. IJzerman, Gerard J. P. van Westen, Gary Tresadern, Laura Pérez‐Benito, Martin Karplus, Jörg K. Wegner and Eelke B. Lenselink. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Chemical Physics.
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.