Yolanda van der Graaf

13.4k citations
244 papers · 9.1k indexed · h-index 52

Yolanda van der Graaf

244 papers receiving 8.8k citations

Peers

Yolanda van der Graaf
Comparison fields: 5 of 165
  • Cardiology and Cardiovascular Medicine 3.7k
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Internal Medicine 255
  • Pulmonary and Respiratory Medicine 2.1k
  • Surgery 2.7k
Replace Kurt Boman with:
Kurt Boman Sweden
Gilbert L’Italien United States
Jorge R. Kizer United States
Jassim Al Suwaidi Qatar
Hisatomi Arima Japan
Yolanda van der Graaf Netherlands
Christopher Newton‐Cheh United States
Diederick E. Grobbee Netherlands
Julio A. Chirinos United States
Eric Leip United States
Yolanda van der Graaf relative to Kurt Boman Sweden Kurt Boman's profile →
Citations per field
00.5×1.5×1.8×
Kurt Boman · 1×
Citations per year

Countries citing papers authored by Yolanda van der Graaf

Since Specialization
Citations

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

Fields of papers citing papers by Yolanda van der Graaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yolanda van der Graaf. 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 Yolanda van der Graaf. The network helps show where Yolanda van der Graaf may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Yolanda van der Graaf, 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 Yolanda van der Graaf Line = papers co-authored together Yolanda van der Graaf links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20217
2 201917
3 201812
4 201794
5 201660
6 20169
7 201516
8 201550
9 20148
10 201129
11 20119
12 200960
13 200728
14 200728
15 200654
16 200565
17 200315
18 200019
19 1998213
20 199720

About Yolanda van der Graaf

Yolanda van der Graaf is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Internal Medicine, having authored 244 papers that have together received 9.1k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (41 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (38 papers), Lipoproteins and Cardiovascular Health (37 papers), Cerebrovascular and Carotid Artery Diseases (33 papers), Peripheral Artery Disease Management (29 papers), Cardiovascular Health and Disease Prevention (29 papers), Cardiovascular Disease and Adiposity (27 papers) and Health Systems, Economic Evaluations, Quality of Life (26 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.7k citations), Endocrinology, Diabetes and Metabolism (1.5k citations) and Internal Medicine (255 citations). Yolanda van der Graaf has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Frank L.J. Visseren, Willem P.Th.M. Mali, Ale Algra, Diederick E. Grobbee, L. Jaap Kappelle, Jan Westerink, Petra M. Gorter, Yvonne T. van der Schouw, Pieter A. Doevendans and Mirjam I. Geerlings. Their work appears in journals such as The Lancet, Circulation and SHILAP Revista de lepidopterología.

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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