Martijn van de Bunt
- Molecular Biology top 5%
- Genetics top 2%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Cancer Research top 10%
- Co-authors
- Anna L. GloynMark I. McCarthyAyellet V. SegrèFarhad HormozdiariEleazar EskinMatthias BraunPatrik RorsmanJae Hoon Sul
- Topics
- Pancreatic function and diabetes (19 papers)Genetic Associations and Epidemiology (10 papers)Metabolism, Diabetes, and Cancer (9 papers)
- Partner nations
- United KingdomDenmarkUnited States
In The Last Decade
Martijn van de Bunt
34 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.4k
- Genetics 1.1k
- Surgery 897
- Endocrinology, Diabetes and Metabolism 478
- Cancer Research 280
Countries citing papers authored by Martijn van de Bunt
This map shows the geographic impact of Martijn van de Bunt'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 Martijn van de Bunt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martijn van de Bunt more than expected).
Fields of papers citing papers by Martijn van de Bunt
This network shows the impact of papers produced by Martijn van de Bunt. 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 Martijn van de Bunt. The network helps show where Martijn van de Bunt may publish in the future.
Co-authorship network of co-authors of Martijn van de Bunt
This figure shows the co-authorship network connecting the top 25 collaborators of Martijn van de Bunt. A scholar is included among the top collaborators of Martijn van de Bunt 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 Martijn van de Bunt. Martijn van de Bunt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 4 | |
| 3 | Diabetes causes marked inhibition of mitochondrial metabolism in pancreatic β-cellsbreakdown → | 244 |
| 4 | 58 | |
| 5 | 242 | |
| 6 | 73 | |
| 7 | 26 | |
| 8 | 8 | |
| 9 | 15 | |
| 10 | Colocalization of GWAS and eQTL Signals Detects Target Genesbreakdown → | 380 |
| 11 | 105 | |
| 12 | 29 | |
| 13 | 156 | |
| 14 | 339 | |
| 15 | 174 | |
| 16 | 23 | |
| 17 | 20 | |
| 18 | 138 | |
| 19 | 23 | |
| 20 | 53 |
About Martijn van de Bunt
Martijn van de Bunt is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Surgery, having authored 35 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (19 papers), Genetic Associations and Epidemiology (10 papers) and Metabolism, Diabetes, and Cancer (9 papers). The work is most often cited by research in Genetics (1.1k citations), Endocrinology, Diabetes and Metabolism (478 citations) and Molecular Biology (1.4k citations). Martijn van de Bunt has collaborated with scholars based in United Kingdom, Denmark and United States. Frequent co-authors include Anna L. Gloyn, Mark I. McCarthy, Ayellet V. Segrè, Farhad Hormozdiari, Eleazar Eskin, Matthias Braun, Patrik Rorsman, Jae Hoon Sul, Sriram Sankararaman and Bogdan Paşaniuc. Their work appears in journals such as New England Journal of Medicine, The Lancet and Journal of Biological Chemistry.
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.