David J. Kurz

84 total papers · 3.5k total citations
53 papers, 2.5k citations indexed

About

David J. Kurz is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David J. Kurz has authored 53 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cardiology and Cardiovascular Medicine, 20 papers in Surgery and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David J. Kurz's work include Acute Myocardial Infarction Research (20 papers), Coronary Interventions and Diagnostics (15 papers) and Telomeres, Telomerase, and Senescence (10 papers). David J. Kurz is often cited by papers focused on Acute Myocardial Infarction Research (20 papers), Coronary Interventions and Diagnostics (15 papers) and Telomeres, Telomerase, and Senescence (10 papers). David J. Kurz collaborates with scholars based in Switzerland, United Kingdom and Canada. David J. Kurz's co-authors include Jorge D. Erusalimsky, Ying Hong, Stéphanie Decary, Alexander Akhmedov, Elisabeth Trivier, Franz R. Eberli, Osmund Bertel, Steve Barker, Thomas F. Lüscher and Barbara Naegeli and has published in prestigious journals such as The Lancet, Genes & Development and PLoS ONE.

In The Last Decade

David J. Kurz

53 papers receiving 2.4k citations

Hit Papers

Senescence-associated β-g... 2000 2026 2008 2017 2000 200 400 600

Author Peers

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

Author Last Decade Papers Cites
David J. Kurz 1.1k 737 579 451 407 53 2.5k
Paola Cassis 394 0.4× 835 1.1× 470 0.8× 891 2.0× 466 1.1× 40 3.1k
Katalin Kauser 1.2k 1.1× 971 1.3× 719 1.2× 608 1.3× 599 1.5× 72 3.4k
Toshihiro Utsugi 526 0.5× 1.2k 1.6× 177 0.3× 774 1.7× 765 1.9× 45 4.6k
David Hwang 1.1k 1.0× 1.4k 1.9× 216 0.4× 272 0.6× 156 0.4× 72 3.4k
Saptarsi M. Haldar 675 0.6× 2.3k 3.1× 660 1.1× 331 0.7× 292 0.7× 54 3.5k
Rolf‐Edgar Silber 393 0.4× 1.3k 1.7× 475 0.8× 458 1.0× 203 0.5× 80 2.9k
José J. Fuster 961 0.9× 1.6k 2.2× 920 1.6× 435 1.0× 866 2.1× 64 4.6k
Julia Carracedo 559 0.5× 1.0k 1.4× 271 0.5× 432 1.0× 981 2.4× 94 3.5k
Daniela Rottoli 420 0.4× 1.5k 2.1× 522 0.9× 944 2.1× 489 1.2× 47 4.1k
Jeffrey L. Barnes 701 0.7× 1.9k 2.6× 359 0.6× 599 1.3× 812 2.0× 92 4.9k

Countries citing papers authored by David J. Kurz

Since Specialization
Citations

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

Fields of papers citing papers by David J. Kurz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Kurz. 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 David J. Kurz. The network helps show where David J. Kurz may publish in the future.

Co-authorship network of co-authors of David J. Kurz

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Kurz. A scholar is included among the top collaborators of David J. Kurz 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 David J. Kurz. David J. Kurz 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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