Eva E. Vink

854 citations
23 papers · 640 · h-index 14

Impact in

Papers in

Eva E. Vink

23 papers receiving 621 citations

Peers

Eva E. Vink
Comparison fields: 5 of 59
  • Cardiology and Cardiovascular Medicine 372
  • Nephrology 38
  • Family Practice 9
  • Public Health, Environmental and Occupational Health 93
  • Geriatrics and Gerontology 8
Replace Lídia Zytynski Moura with:
Lídia Zytynski Moura Brazil
А. О. Недошивин Russia
Athanasios Tasoulis Greece
Hee Kong Fong United States
Daniel J. Friedman United States
Philip Lewis United Kingdom
Kenneth W. Dodd United States
Bappa Adamu Nigeria
Hüseyin İlksen Toprak Türkiye
Eva E. Vink relative to Lídia Zytynski Moura Brazil Lídia Zytynski Moura's profile →
Citations per field
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Lídia Zytynski Moura · 1×
Citations per year

Countries citing papers authored by Eva E. Vink

Since Specialization
Citations

This map shows the geographic impact of Eva E. Vink'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 Eva E. Vink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva E. Vink more than expected).

Fields of papers citing papers by Eva E. Vink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva E. Vink. 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 Eva E. Vink. The network helps show where Eva E. Vink may publish in the future.

Co-authors

The 25 scholars most cited alongside Eva E. Vink, 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 Eva E. Vink Line = papers co-authored together Eva E. Vink links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018121
2 201474
3 201457
4 201552
5 201342
6 201341
7 201428
8 201226
9 200925
10 201424
11 201423
12 201720
13 201617
14 201414
15 201514
16 201413
17 201712
18 201311
19 20139
20 20177

About Eva E. Vink

Eva E. Vink is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Reproductive Medicine and Public Health, Environmental and Occupational Health, having authored 23 papers that have together received 640 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (19 papers), Advanced MRI Techniques and Applications (3 papers), Renal and Vascular Pathologies (2 papers), Renin-Angiotensin System Studies (2 papers), Hypothalamic control of reproductive hormones (1 paper), Body Composition Measurement Techniques (1 paper), Sepsis Diagnosis and Treatment (1 paper) and Obesity, Physical Activity, Diet (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (372 citations), Nephrology (38 citations), Family Practice (9 citations), Public Health, Environmental and Occupational Health (93 citations) and Geriatrics and Gerontology (8 citations). Eva E. Vink has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Peter J. Blankestijn, Jan Bakker, Élie Azoulay, Arthur L. Caplan, Erwin J. O. Kompanje, Michiel Voskuil, Willemien L. Verloop, Wilko Spiering, Pieter A. Doevendans and Michiel L. Bots. Their work appears in journals such as Journal of Hypertension, Hypertension, Nephrology Dialysis Transplantation, European Radiology and European Journal of Preventive Cardiology.

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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