Iris Postmus

3.2k citations
34 papers · 2.4k · h-index 23

Impact in

Papers in

    • Genetic Associations and Epidemiology 15
    • Lipoproteins and Cardiovascular Health 10
    • Cholesterol and Lipid Metabolism 3

Iris Postmus

34 papers receiving 2.3k citations

Peers

Iris Postmus
Comparison fields: 5 of 118
  • Aging 149
  • Endocrinology, Diabetes and Metabolism 449
  • Genetics 610
  • Physiology 297
  • Pediatrics, Perinatology and Child Health 186
Replace Yanbin Dong with:
Yanbin Dong China
Antje Fischer‐Rosinsky Germany
Sayuko Kobes United States
Mandy van Hoek Netherlands
Maria Teresa Sciarrone Alibrandi Italy
Juergen Graessler Germany
Juyoung Lee South Korea
J. C. M. Witteman Netherlands
Heung Man Lee Hong Kong
Daniel I. Chasman United States
Iris Postmus relative to Yanbin Dong China Yanbin Dong's profile →
Citations per field
00.5×2×3.1×
Yanbin Dong · 1×
Citations per year

Countries citing papers authored by Iris Postmus

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Iris Postmus Line = papers co-authored together Iris Postmus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015303
2 2015290
3 2018218
4 2014205
5 2014203
6 2015117
7 201296
8 201992
9 201488
10 201886
11 201770
12 201258
13 201549
14 201747
15 201747
16 201447
17 201540
18 201538
19 201237
20 201534

About Iris Postmus

Iris Postmus is a scholar working on Genetics, Surgery, Endocrinology, Diabetes and Metabolism, Physiology and Computational Theory and Mathematics, having authored 34 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (15 papers), Lipoproteins and Cardiovascular Health (10 papers), Cholesterol and Lipid Metabolism (3 papers), Thyroid Disorders and Treatments (3 papers), Computational Drug Discovery Methods (2 papers), Epigenetics and DNA Methylation (2 papers), Pharmaceutical Economics and Policy (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Aging (149 citations), Endocrinology, Diabetes and Metabolism (449 citations), Genetics (610 citations), Physiology (297 citations) and Pediatrics, Perinatology and Child Health (186 citations). Iris Postmus has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Stella Trompet, J. Wouter Jukema, P. Eline Slagboom, Rudi G. J. Westendorp, Anton JM de Craen, Diana van Heemst, Abimbola A. Akintola, Brendan Martin Buckley, Naveed A. Sattar and Jeroen van der Grond. Their work appears in journals such as Nature Communications, International Journal of Epidemiology, PLoS ONE, Journal of Lipid Research and Circulation Cardiovascular Genetics.

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.

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