Bart Keymeulen
- Surgery top 0.5%
- Genetics top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Immunology top 5%
- Molecular Biology
- Co-authors
- Daniël PipeleersFrans GorusChantal MathieuPieter GillardBart O. RoepRobert HilbrandsChristophe De BlockIlse Weets
- Topics
- Pancreatic function and diabetes (106 papers)Diabetes and associated disorders (104 papers)Diabetes Management and Research (84 papers)
- Partner nations
- BelgiumNetherlandsUnited States
In The Last Decade
Bart Keymeulen
151 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 119
- Surgery 3.1k
- Genetics 2.8k
- Endocrinology, Diabetes and Metabolism 2.7k
- Immunology 550
- Molecular Biology 393
Countries citing papers authored by Bart Keymeulen
This map shows the geographic impact of Bart Keymeulen'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 Bart Keymeulen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bart Keymeulen more than expected).
Fields of papers citing papers by Bart Keymeulen
This network shows the impact of papers produced by Bart Keymeulen. 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 Bart Keymeulen. The network helps show where Bart Keymeulen may publish in the future.
Co-authorship network of co-authors of Bart Keymeulen
This figure shows the co-authorship network connecting the top 25 collaborators of Bart Keymeulen. A scholar is included among the top collaborators of Bart Keymeulen 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 Bart Keymeulen. Bart Keymeulen 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 | 5 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 36 | |
| 6 | 9 | |
| 7 | Quality of life versus glycaemic variability and time in range in people with type 1 diabetes : sub study of the RESCUE-trial | 1 |
| 8 | 38 | |
| 9 | 3 | |
| 10 | 11 | |
| 11 | 11 | |
| 12 | Pre-existing insulin autoantibodies predict efficacy of otelixizumab in preserving residual beta cell function in recent-onset type 1 diabetes | 4 |
| 13 | Anticorps monoclonaux en diabétologie: jusqu'au bout du rêve? | 0 |
| 14 | AUTOREACTIVE CD8 T CELLS ASSOCIATED WITH BETA-CELL DESTRUCTION IN TYPE 1 DIABETES | 8 |
| 15 | 2 | |
| 16 | Single and Multiple Doses of MK-0767 (KRP-297) reduce Free Fatty Acids (FFA) and Lipids in Healthy Subjects. | 1 |
| 17 | HLA-DQ restricted progression to clinical onset in antibody-positive first degree relatives of type 1 diabetic patients | 1 |
| 18 | Le diabete de type 1: Une maladie auto-immune heterogene, predictible, evitable, guerissable? | 1 |
| 19 | 7 | |
| 20 | 5 |
About Bart Keymeulen
Bart Keymeulen is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 155 papers that have together received 4.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (106 papers), Diabetes and associated disorders (104 papers) and Diabetes Management and Research (84 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.7k citations), Genetics (2.8k citations) and Surgery (3.1k citations). Bart Keymeulen has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Daniël Pipeleers, Frans Gorus, Chantal Mathieu, Pieter Gillard, Bart O. Roep, Robert Hilbrands, Christophe De Block, Ilse Weets, Gaby Duinkerken and Evy Vandemeulebroucke. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Blood.
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.