W. de Munter
Impact in
- Rheumatology top 2%
- Osteoarthritis Treatment and Mechanisms
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
- Rheumatology 14
- Osteoarthritis Treatment and Mechanisms 13
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- S100 Proteins and Annexins 6
- Co-authors
- Peter L. E. M. van Lent (5 shared papers)Arjen B. Blom (8 shared papers)Wim B. van den Berg (11 shared papers)P.M. van der Kraan (7 shared papers)R. Schelbergen (8 shared papers)Danièle Noël (1 shared paper)Louis Casteilla (1 shared paper)W. van den Berg (1 shared paper)
- Journals
- Osteoarthritis and Cartilage (7 papers)Annals of the Rheumatic Diseases (6 papers)Cellular and Molecular Life Sciences (2 papers)Arthritis Research & Therapy (1 paper)Lara D. Veeken (1 paper)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
W. de Munter
20 papers receiving 622 citations
Peers
Comparison fields: 5 of 63
- Rheumatology 374
- Genetics 132
- Urology 75
- Pharmacology 94
- Orthopedics and Sports Medicine 31
Countries citing papers authored by W. de Munter
This map shows the geographic impact of W. de Munter'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 W. de Munter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. de Munter more than expected).
Fields of papers citing papers by W. de Munter
This network shows the impact of papers produced by W. de Munter. 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 W. de Munter. The network helps show where W. de Munter may publish in the future.
Co-authors
The 25 scholars most cited alongside W. de Munter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 288 | |
| 2 | 2014 | 74 | |
| 3 | 2013 | 71 | |
| 4 | 2015 | 64 | |
| 5 | 2015 | 62 | |
| 6 | 2016 | 33 | |
| 7 | 1975 | 11 | |
| 8 | 1975 | 10 | |
| 9 | 1967 | 6 | |
| 10 | 2014 | 4 | |
| 11 | 2012 | 3 | |
| 12 | 2014 | 2 | |
| 13 | 2017 | 2 | |
| 14 | 2018 | 2 | |
| 15 | 2015 | 1 | |
| 16 | 1967 | 1 | |
| 17 | 2012 | 1 | |
| 18 | 2013 | 1 | |
| 19 | 1974 | 1 | |
| 20 | 2013 | 1 |
About W. de Munter
W. de Munter is a scholar working on Rheumatology, Molecular Biology, Pharmacology, Immunology and Endocrinology, having authored 22 papers that have together received 638 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (13 papers), S100 Proteins and Annexins (6 papers), Inflammatory mediators and NSAID effects (6 papers), Escherichia coli research studies (3 papers), Bacterial Genetics and Biotechnology (2 papers), Bacteriophages and microbial interactions (2 papers), Immune Response and Inflammation (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Rheumatology (374 citations), Genetics (132 citations), Urology (75 citations), Pharmacology (94 citations) and Orthopedics and Sports Medicine (31 citations). W. de Munter has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Peter L. E. M. van Lent, Arjen B. Blom, Wim B. van den Berg, P.M. van der Kraan, R. Schelbergen, Danièle Noël, Louis Casteilla, W. van den Berg, Lilyanne C. Grevers and Menno ter Huurne. Their work appears in journals such as Osteoarthritis and Cartilage, Annals of the Rheumatic Diseases, Cellular and Molecular Life Sciences, Arthritis Research & Therapy and Lara D. Veeken.
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.