Danielle Keulards

51 total papers · 911 total citations
27 papers, 503 citations indexed

About

Danielle Keulards is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Danielle Keulards has authored 27 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Cardiology and Cardiovascular Medicine and 16 papers in Surgery. Recurrent topics in Danielle Keulards's work include Cardiac Imaging and Diagnostics (20 papers), Coronary Interventions and Diagnostics (14 papers) and Cardiovascular Function and Risk Factors (9 papers). Danielle Keulards is often cited by papers focused on Cardiac Imaging and Diagnostics (20 papers), Coronary Interventions and Diagnostics (14 papers) and Cardiovascular Function and Risk Factors (9 papers). Danielle Keulards collaborates with scholars based in Netherlands, Belgium and United Kingdom. Danielle Keulards's co-authors include Nico H.J. Pijls, Bernard De Bruyne, Stéphane Fournier, Mohamed El Farissi, Marcel van’t Veer, Carlos Collet, Marcel van ’t Veer, Emanuele Barbato, Jeroen Sonck and Jo M. Zelis and has published in prestigious journals such as Journal of the American College of Cardiology, European Heart Journal and Cardiovascular Research.

In The Last Decade

Danielle Keulards

24 papers receiving 491 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Danielle Keulards 426 390 295 26 21 27 503
Adam Ali Ghotbi 311 0.7× 316 0.8× 117 0.4× 36 1.4× 18 0.9× 27 487
Jaclyn Carberry 337 0.8× 405 1.0× 190 0.6× 22 0.8× 37 1.8× 22 498
Kazuya Sano 159 0.4× 344 0.9× 119 0.4× 23 0.9× 17 0.8× 21 471
Kenichiro Yuba 272 0.6× 407 1.0× 203 0.7× 13 0.5× 11 0.5× 22 449
Ryuji Ohtani 289 0.7× 467 1.2× 222 0.8× 13 0.5× 14 0.7× 27 530
Raja W. Dhurandhar 167 0.4× 380 1.0× 109 0.4× 23 0.9× 9 0.4× 17 473
Raimund Erbel 295 0.7× 305 0.8× 249 0.8× 61 2.3× 10 0.5× 22 528
Vito Marangelli 349 0.8× 473 1.2× 151 0.5× 39 1.5× 8 0.4× 22 552
Richard Good 371 0.9× 318 0.8× 288 1.0× 51 2.0× 12 0.6× 25 526
F Corbara 210 0.5× 390 1.0× 238 0.8× 29 1.1× 9 0.4× 13 461

Countries citing papers authored by Danielle Keulards

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Keulards

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Keulards

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Keulards. A scholar is included among the top collaborators of Danielle Keulards based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danielle Keulards. Danielle Keulards is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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