MB Snijder
- Physiology top 5%
- Public Health, Environmental and Occupational Health top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Epidemiology
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Jacob C. SeidellMarjolein VisserRob M. van DamJoost DekkerJ.E. ShawPaul ZimmetT. B. HarrisM. Nevitt
- Topics
- Body Composition Measurement Techniques (3 papers)Obesity, Physical Activity, Diet (2 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers)
- Partner nations
- NetherlandsUnited StatesDenmark
In The Last Decade
MB Snijder
14 papers receiving 977 citations
Peers
Comparison fields: 5 of 94
- Physiology 454
- Public Health, Environmental and Occupational Health 319
- Cardiology and Cardiovascular Medicine 270
- Epidemiology 212
- Endocrinology, Diabetes and Metabolism 199
Countries citing papers authored by MB Snijder
This map shows the geographic impact of MB Snijder'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 MB Snijder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MB Snijder more than expected).
Fields of papers citing papers by MB Snijder
This network shows the impact of papers produced by MB Snijder. 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 MB Snijder. The network helps show where MB Snijder may publish in the future.
Co-authorship network of co-authors of MB Snijder
This figure shows the co-authorship network connecting the top 25 collaborators of MB Snijder. A scholar is included among the top collaborators of MB Snijder 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 MB Snijder. MB Snijder 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 | The association between dietary mismatch and vulnerability to psychopathology | 1 |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 28 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 51 | |
| 10 | Response to C Mathieu, C Gysemans, A Guilietti, R Bouillon (2005) Vitamin D and diabetes | 3 |
| 11 | 426 | |
| 12 | Regional body composition as a determinant of arterial stiffness in the elderly. The Hoorn Study | 5 |
| 13 | 275 | |
| 14 | 197 | |
| 15 | The effect of body build on the validity of predicted body fat from body mass index and bioelectrical impedance | 1 |
About MB Snijder
MB Snijder is a scholar working on Microbiology, Physiology and Emergency Medical Services, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Body Composition Measurement Techniques (3 papers), Obesity, Physical Activity, Diet (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Physiology (454 citations), Endocrinology, Diabetes and Metabolism (199 citations) and Cardiology and Cardiovascular Medicine (270 citations). MB Snijder has collaborated with scholars based in Netherlands, United States and Denmark. Frequent co-authors include Jacob C. Seidell, Marjolein Visser, Rob M. van Dam, Joost Dekker, J.E. Shaw, Paul Zimmet, T. B. Harris, M. Nevitt, Thomas Fuerst and Thomas Lang. Their work appears in journals such as Diabetologia, International Journal of Epidemiology and International Journal of Obesity.
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.