Matthias Gijsen
- Pharmacology top 5%
- Epidemiology
- Molecular Medicine top 10%
- Infectious Diseases
- Applied Microbiology and Biotechnology top 5%
- Co-authors
- Isabel SprietErwin DreesenRuth Van DaeleJoost WautersYves DebaveyeMarc FerrantePieter AnnaertKarel Allegaert
- Topics
- Antibiotics Pharmacokinetics and Efficacy (25 papers)Pneumonia and Respiratory Infections (10 papers)Antibiotic Resistance in Bacteria (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaCritical Care MedicinePharmaceutical Research
- Partner nations
- BelgiumNetherlandsSweden
In The Last Decade
Matthias Gijsen
28 papers receiving 307 citations
Peers
Comparison fields: 5 of 69
- Pharmacology 218
- Epidemiology 115
- Molecular Medicine 59
- Infectious Diseases 53
- Applied Microbiology and Biotechnology 45
Countries citing papers authored by Matthias Gijsen
This map shows the geographic impact of Matthias Gijsen'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 Matthias Gijsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Gijsen more than expected).
Fields of papers citing papers by Matthias Gijsen
This network shows the impact of papers produced by Matthias Gijsen. 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 Matthias Gijsen. The network helps show where Matthias Gijsen may publish in the future.
Co-authorship network of co-authors of Matthias Gijsen
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Gijsen. A scholar is included among the top collaborators of Matthias Gijsen 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 Matthias Gijsen. Matthias Gijsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 9 | |
| 12 | Meropenem Target Attainment and Population Pharmacokinetics in Critically Ill Septic Patients with Preserved or Increased Renal Function | 18 |
| 13 | 4 | |
| 14 | 10 | |
| 15 | 23 | |
| 16 | 13 | |
| 17 | 11 | |
| 18 | 19 | |
| 19 | 81 | |
| 20 | 1 |
About Matthias Gijsen
Matthias Gijsen is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Pharmacology, having authored 32 papers that have together received 307 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (25 papers), Pneumonia and Respiratory Infections (10 papers) and Antibiotic Resistance in Bacteria (8 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (45 citations), Pharmacology (218 citations) and Molecular Medicine (59 citations). Matthias Gijsen has collaborated with scholars based in Belgium, Netherlands and Sweden. Frequent co-authors include Isabel Spriet, Erwin Dreesen, Ruth Van Daele, Joost Wauters, Yves Debaveye, Marc Ferrante, Pieter Annaert, Karel Allegaert, Dirk Vlasselaers and Philippe Meersseman. Their work appears in journals such as SHILAP Revista de lepidopterología, Critical Care Medicine and Pharmaceutical Research.
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.