C.A.J. van Beers
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 10%
- Surgery
- Cardiology and Cardiovascular Medicine
- Epidemiology
- Co-authors
- J. Hans DeVriesErik H. SernéMark H.H. KramerPetronella Geelhoed-DuijvestijnFrank J. SnoekMichaëla DiamantMark M. SmitsC. E. H. Siegert
- Topics
- Diabetes Management and Research (7 papers)Diabetes and associated disorders (5 papers)Pancreatic function and diabetes (4 papers)
- Journals
- The Lancet Diabetes & EndocrinologyDiabetic MedicineDiabetes Research and Clinical Practice
- Partner nations
- NetherlandsUnited States
In The Last Decade
C.A.J. van Beers
8 papers receiving 377 citations
Hit Papers
Peers
Comparison fields: 5 of 47
- Endocrinology, Diabetes and Metabolism 356
- Genetics 242
- Surgery 238
- Cardiology and Cardiovascular Medicine 14
- Epidemiology 14
Countries citing papers authored by C.A.J. van Beers
This map shows the geographic impact of C.A.J. van Beers'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 C.A.J. van Beers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.A.J. van Beers more than expected).
Fields of papers citing papers by C.A.J. van Beers
This network shows the impact of papers produced by C.A.J. van Beers. 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 C.A.J. van Beers. The network helps show where C.A.J. van Beers may publish in the future.
Co-authorship network of co-authors of C.A.J. van Beers
This figure shows the co-authorship network connecting the top 25 collaborators of C.A.J. van Beers. A scholar is included among the top collaborators of C.A.J. van Beers 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 C.A.J. van Beers. C.A.J. van Beers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 14 | |
| 3 | 30 | |
| 4 | 11 | |
| 5 | 10 | |
| 6 | Continuous glucose monitoring for patients with type 1 diabetes and impaired awareness of hypoglycaemia (IN CONTROL): a randomised, open-label, crossover trialbreakdown → | 289 |
| 7 | 27 | |
| 8 | 10 |
About C.A.J. van Beers
C.A.J. van Beers is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Nephrology, having authored 8 papers that have together received 394 indexed citations. Recurring topics across this work include Diabetes Management and Research (7 papers), Diabetes and associated disorders (5 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (356 citations), Genetics (242 citations) and Surgery (238 citations). C.A.J. van Beers has collaborated with scholars based in Netherlands and United States. Frequent co-authors include J. Hans DeVries, Erik H. Serné, Mark H.H. Kramer, Petronella Geelhoed-Duijvestijn, Frank J. Snoek, Michaëla Diamant, Mark M. Smits, C. E. H. Siegert, Arne J. van Tienhoven and Maartje de Wit. Their work appears in journals such as The Lancet Diabetes & Endocrinology, Diabetic Medicine and Diabetes Research and Clinical Practice.
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.