Iris Postmus
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 10%
Papers in
- Co-authors
- Stella Trompet (14 shared papers)P. Eline Slagboom (11 shared papers)J. Wouter Jukema (12 shared papers)Rudi G. J. Westendorp (6 shared papers)Diana van Heemst (5 shared papers)Abimbola A. Akintola (3 shared papers)Roelof A. J. Smit (6 shared papers)Anton JM de Craen (3 shared papers)
- Journals
- International Journal of Epidemiology (3 papers)PLoS ONE (3 papers)Pharmacogenomics (2 papers)Journal of Lipid Research (1 paper)Aging (1 paper)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Iris Postmus
18 papers receiving 474 citations
Peers
Comparison fields: 5 of 78
- Aging 40
- Geriatrics and Gerontology 33
- Endocrinology, Diabetes and Metabolism 111
- Physiology 112
- Surgery 188
Countries citing papers authored by Iris Postmus
This map shows the geographic impact of Iris Postmus'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 Iris Postmus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iris Postmus more than expected).
Fields of papers citing papers by Iris Postmus
This network shows the impact of papers produced by Iris Postmus. 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 Iris Postmus. The network helps show where Iris Postmus may publish in the future.
Co-authors
The 25 scholars most cited alongside Iris Postmus, 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 | 2014 | 75 | |
| 2 | 2012 | 57 | |
| 3 | 2017 | 43 | |
| 4 | 2015 | 38 | |
| 5 | 2017 | 36 | |
| 6 | 2015 | 33 | |
| 7 | 2012 | 33 | |
| 8 | 2015 | 25 | |
| 9 | 2011 | 25 | |
| 10 | 2016 | 22 | |
| 11 | 2019 | 17 | |
| 12 | 2021 | 16 | |
| 13 | 2012 | 16 | |
| 14 | 2018 | 14 | |
| 15 | 2016 | 11 | |
| 16 | 2014 | 10 | |
| 17 | 2016 | 9 | |
| 18 | 2022 | 3 |
About Iris Postmus
Iris Postmus is a scholar working on Surgery, Genetics, Endocrinology, Diabetes and Metabolism, Computational Theory and Mathematics and Economics and Econometrics, having authored 18 papers that have together received 483 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (10 papers), Genetic Associations and Epidemiology (8 papers), Computational Drug Discovery Methods (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Cancer, Lipids, and Metabolism (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Frailty in Older Adults (2 papers) and Pharmaceutical Economics and Policy (2 papers). The work is most often cited by research in Aging (40 citations), Geriatrics and Gerontology (33 citations), Endocrinology, Diabetes and Metabolism (111 citations), Physiology (112 citations) and Surgery (188 citations). Iris Postmus has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Stella Trompet, P. Eline Slagboom, J. Wouter Jukema, Rudi G. J. Westendorp, Diana van Heemst, Abimbola A. Akintola, Roelof A. J. Smit, Anton JM de Craen, Brendan M. Buckley and Naveed Sattar. Their work appears in journals such as International Journal of Epidemiology, PLoS ONE, Pharmacogenomics, Journal of Lipid Research and Aging.
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.