Mees Mosseveld
- Epidemiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Hepatology top 5%
- Health Information Management top 0.5%
- Surgery
- Co-authors
- Johan van der LeiMiriam SturkenboomPeter R. RijnbeekJan H. van BemmelDaniel Prieto‐AlhambraTalita Duarte‐SallesFrancesco LapiMarc A. M. van Wijk
- Topics
- Electronic Health Records Systems (8 papers)Clinical practice guidelines implementation (5 papers)Biomedical Text Mining and Ontologies (4 papers)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Mees Mosseveld
29 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 113
- Epidemiology 657
- Endocrinology, Diabetes and Metabolism 281
- Hepatology 280
- Health Information Management 193
- Surgery 186
Countries citing papers authored by Mees Mosseveld
This map shows the geographic impact of Mees Mosseveld'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 Mees Mosseveld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mees Mosseveld more than expected).
Fields of papers citing papers by Mees Mosseveld
This network shows the impact of papers produced by Mees Mosseveld. 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 Mees Mosseveld. The network helps show where Mees Mosseveld may publish in the future.
Co-authorship network of co-authors of Mees Mosseveld
This figure shows the co-authorship network connecting the top 25 collaborators of Mees Mosseveld. A scholar is included among the top collaborators of Mees Mosseveld 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 Mees Mosseveld. Mees Mosseveld 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 | The impact of COVID-19 on population-level drug utilization of alendronate | 1 |
| 4 | 23 | |
| 5 | 9 | |
| 6 | 183 | |
| 7 | 219 | |
| 8 | 174 | |
| 9 | 11 | |
| 10 | 22 | |
| 11 | 47 | |
| 12 | 87 | |
| 13 | 106 | |
| 14 | Is population-oriented IT supported preventive care in general practice feasible? A database study. | 2 |
| 15 | 9 | |
| 16 | 12 | |
| 17 | 33 | |
| 18 | 11 | |
| 19 | 13 | |
| 20 | 193 |
About Mees Mosseveld
Mees Mosseveld is a scholar working on Health Information Management, Geriatrics and Gerontology and Toxicology, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Electronic Health Records Systems (8 papers), Clinical practice guidelines implementation (5 papers) and Biomedical Text Mining and Ontologies (4 papers). The work is most often cited by research in Health Information Management (193 citations), Hepatology (280 citations) and Family Practice (45 citations). Mees Mosseveld has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Johan van der Lei, Miriam Sturkenboom, Peter R. Rijnbeek, Jan H. van Bemmel, Daniel Prieto‐Alhambra, Talita Duarte‐Salles, Francesco Lapi, Marc A. M. van Wijk, M Alexander and David Ansell. Their work appears in journals such as Circulation, Annals of Internal Medicine and Gastroenterology.
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.