Taco B. M. Monster
- Cardiology and Cardiovascular Medicine
- Psychiatry and Mental health top 10%
- Endocrinology, Diabetes and Metabolism
- Public Health, Environmental and Occupational Health
- Pediatrics, Perinatology and Child Health
- Co-authors
- Lolkje T.W. de Jong‐van den BergPaul E. de JongJ. R. B. J. BrouwersWilbert M.T. JanssenSøren Paaske JohnsenHenrik Toft SørensenJoseph K. McLaughlinRobin de Vries
- Topics
- Blood Pressure and Hypertension Studies (4 papers)Chronic Kidney Disease and Diabetes (3 papers)Patient-Provider Communication in Healthcare (3 papers)
- Partner nations
- NetherlandsUnited StatesDenmark
In The Last Decade
Taco B. M. Monster
13 papers receiving 426 citations
Peers
Comparison fields: 5 of 84
- Cardiology and Cardiovascular Medicine 116
- Psychiatry and Mental health 102
- Endocrinology, Diabetes and Metabolism 76
- Public Health, Environmental and Occupational Health 60
- Pediatrics, Perinatology and Child Health 56
Countries citing papers authored by Taco B. M. Monster
This map shows the geographic impact of Taco B. M. Monster'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 Taco B. M. Monster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taco B. M. Monster more than expected).
Fields of papers citing papers by Taco B. M. Monster
This network shows the impact of papers produced by Taco B. M. Monster. 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 Taco B. M. Monster. The network helps show where Taco B. M. Monster may publish in the future.
Co-authorship network of co-authors of Taco B. M. Monster
This figure shows the co-authorship network connecting the top 25 collaborators of Taco B. M. Monster. A scholar is included among the top collaborators of Taco B. M. Monster 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 Taco B. M. Monster. Taco B. M. Monster 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 | 1 | |
| 3 | 6 | |
| 4 | 17 | |
| 5 | Antibiotics and risk of first-time hospitalization for myocardial infarction: a population-based case-control study. | 4 |
| 6 | 50 | |
| 7 | 11 | |
| 8 | 38 | |
| 9 | 101 | |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 13 | |
| 13 | 97 | |
| 14 | 88 |
About Taco B. M. Monster
Taco B. M. Monster is a scholar working on Geriatrics and Gerontology, Applied Microbiology and Biotechnology and Family Practice, having authored 14 papers that have together received 438 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (4 papers), Chronic Kidney Disease and Diabetes (3 papers) and Patient-Provider Communication in Healthcare (3 papers). The work is most often cited by research in Family Practice (26 citations), Geriatrics and Gerontology (38 citations) and Nephrology (50 citations). Taco B. M. Monster has collaborated with scholars based in Netherlands, United States and Denmark. Frequent co-authors include Lolkje T.W. de Jong‐van den Berg, Paul E. de Jong, J. R. B. J. Brouwers, Wilbert M.T. Janssen, Søren Paaske Johnsen, Henrik Toft Sørensen, Joseph K. McLaughlin, Robin de Vries, Eric Schirm and Paul B. van den Berg. Their work appears in journals such as The American Journal of Medicine, British Journal of Clinical Pharmacology and Drug Safety.
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.