Bram Brouwers
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Epidemiology top 5%
- Molecular Biology
- Surgery
- Co-authors
- Patrick SchrauwenMatthijs K. C. HesselinkÁngel RodríguezKenneth CusiAmalia GastaldelliRoss BrayLaura Fernández LandóVera B. Schrauwen‐Hinderling
- Topics
- Liver Disease Diagnosis and Treatment (13 papers)Adipose Tissue and Metabolism (11 papers)Diet, Metabolism, and Disease (8 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Bram Brouwers
26 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Physiology 711
- Endocrinology, Diabetes and Metabolism 655
- Epidemiology 646
- Molecular Biology 328
- Surgery 195
Countries citing papers authored by Bram Brouwers
This map shows the geographic impact of Bram Brouwers'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 Bram Brouwers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bram Brouwers more than expected).
Fields of papers citing papers by Bram Brouwers
This network shows the impact of papers produced by Bram Brouwers. 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 Bram Brouwers. The network helps show where Bram Brouwers may publish in the future.
Co-authorship network of co-authors of Bram Brouwers
This figure shows the co-authorship network connecting the top 25 collaborators of Bram Brouwers. A scholar is included among the top collaborators of Bram Brouwers 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 Bram Brouwers. Bram Brouwers 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 | 1 | |
| 3 | 18 | |
| 4 | Tirzepatide for Metabolic Dysfunction–Associated Steatohepatitis with Liver Fibrosisbreakdown → | 353 |
| 5 | Triple hormone receptor agonist retatrutide for metabolic dysfunction-associated steatotic liver disease: a randomized phase 2a trialbreakdown → | 118 |
| 6 | 1 | |
| 7 | Effect of tirzepatide versus insulin degludec on liver fat content and abdominal adipose tissue in people with type 2 diabetes (SURPASS-3 MRI): a substudy of the randomised, open-label, parallel-group, phase 3 SURPASS-3 trialbreakdown → | 328 |
| 8 | 15 | |
| 9 | 80 | |
| 10 | 15 | |
| 11 | 6 | |
| 12 | 11 | |
| 13 | 37 | |
| 14 | 11 | |
| 15 | 90 | |
| 16 | 58 | |
| 17 | 41 | |
| 18 | 40 | |
| 19 | 66 | |
| 20 | 29 |
About Bram Brouwers
Bram Brouwers is a scholar working on Physiology, Rehabilitation and Hepatology, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (13 papers), Adipose Tissue and Metabolism (11 papers) and Diet, Metabolism, and Disease (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (655 citations), Physiology (711 citations) and Epidemiology (646 citations). Bram Brouwers has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Patrick Schrauwen, Matthijs K. C. Hesselink, Ángel Rodríguez, Kenneth Cusi, Amalia Gastaldelli, Ross Bray, Laura Fernández Landó, Vera B. Schrauwen‐Hinderling, Mark L. Hartman and Arun J. Sanyal. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Investigation and Nature Medicine.
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.