Martijn van de Bunt
- Genetics top 2%
- Genetic Associations and Epidemiology 10
- Diabetes and associated disorders 7
- Genetic Mapping and Diversity in Plants and Animals 3
-
- Diabetes Management and Research 7
- Molecular Biology top 5%
- Metabolism, Diabetes, and Cancer 9
- Bioinformatics and Genomic Networks 7
- Epigenetics and DNA Methylation 5
- Surgery top 5%
- Pancreatic function and diabetes 19
- Cancer Research top 10%
- Co-authors
- Anna L. GloynMark I. McCarthyAyellet V. SegrèFarhad HormozdiariEleazar EskinMatthias BraunPatrik RorsmanJae Hoon Sul
- 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
- Genetics 1.1k
- Endocrinology, Diabetes and Metabolism 478
- Molecular Biology 1.4k
- Surgery 897
- 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
The 25 scholars most cited alongside Martijn van de Bunt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 14 | |
| 2 | 2020 | 4 | |
| 3 | Diabetes causes marked inhibition of mitochondrial metabolism in pancreatic β-cellsbreakdown → | 2019 | 244 |
| 4 | 2019 | 58 | |
| 5 | 2018 | 242 | |
| 6 | 2018 | 73 | |
| 7 | 2018 | 26 | |
| 8 | 2018 | 8 | |
| 9 | 2016 | 15 | |
| 10 | Colocalization of GWAS and eQTL Signals Detects Target Genesbreakdown → | 2016 | 380 |
| 11 | 2015 | 105 | |
| 12 | 2015 | 29 | |
| 13 | 2013 | 156 | |
| 14 | 2013 | 339 | |
| 15 | 2012 | 174 | |
| 16 | 2012 | 23 | |
| 17 | 2011 | 20 | |
| 18 | 2011 | 138 | |
| 19 | 2010 | 23 | |
| 20 | 2007 | 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), Metabolism, Diabetes, and Cancer (9 papers), Bioinformatics and Genomic Networks (7 papers), Diabetes Management and Research (7 papers), Diabetes and associated disorders (7 papers), Epigenetics and DNA Methylation (5 papers) and Genetic Mapping and Diversity in Plants and Animals (3 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.
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.