Eylem Levelt

2.8k citations
102 papers · 2.0k · h-index 22

Impact in

Papers in

Eylem Levelt

94 papers receiving 2.0k citations

Peers

Eylem Levelt
Comparison fields: 5 of 86
  • Cardiology and Cardiovascular Medicine 1.0k
  • Radiology, Nuclear Medicine and Imaging 549
  • Endocrinology, Diabetes and Metabolism 233
  • Physiology 148
  • Complementary and alternative medicine 39
Replace Rola Saouaf with:
Rola Saouaf United States
Shunsuke Tamaki Japan
Hiroya Kawai Japan
Rana A Sayeed United Kingdom
Anna Maria Choy United Kingdom
Yat‐Yin Lam China
Takahisa Yamada Japan
Harald Vik‐Mo Norway
L M Voipio-Pulkki Finland
Elisabeth Pieske‐Kraigher Germany
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Citations per field
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Citations per year

Countries citing papers authored by Eylem Levelt

Since Specialization
Citations

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

Fields of papers citing papers by Eylem Levelt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eylem Levelt. 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 Eylem Levelt. The network helps show where Eylem Levelt may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015196
2 2016180
3 2015136
4 2017126
5 201485
6 201875
7 201973
8 202271
9 201668
10 201664
11 202360
12 201859
13 202354
14 201654
15 201652
16 202150
17 201837
18 202236
19 201631
20 201930

About Eylem Levelt

Eylem Levelt is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology and Physiology, having authored 102 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (34 papers), Cardiovascular Function and Risk Factors (31 papers), Advanced MRI Techniques and Applications (14 papers), Cardiovascular Disease and Adiposity (8 papers), Cardiac Valve Diseases and Treatments (7 papers), Cardiovascular Effects of Exercise (7 papers), Diabetes Treatment and Management (5 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.0k citations), Radiology, Nuclear Medicine and Imaging (549 citations), Endocrinology, Diabetes and Metabolism (233 citations), Physiology (148 citations) and Complementary and alternative medicine (39 citations). Eylem Levelt has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Kieran Clarke, Stefan Neubauer, Masliza Mahmod, Jane M Francis, Theodoros D. Karamitsos, Rina Ariga, Christopher T. Rodgers, Cher‐Rin Chong, William T. Clarke and Gaurav Singh Gulsin. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, European Heart Journal - Cardiovascular Imaging, Diabetes Care, Circulation Cardiovascular Imaging and BMC Cardiovascular Disorders.

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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