Daniel Kurnik

85 papers receiving 2.0k citations

Peers

Daniel Kurnik
Comparison fields: 5 of 134
  • Pharmacology 381
  • Anesthesiology and Pain Medicine 93
  • Cardiology and Cardiovascular Medicine 288
  • Endocrinology, Diabetes and Metabolism 206
  • Internal Medicine 40
Replace Yan Gong with:
Yan Gong United States
Thierry Girard Switzerland
Troels K. Bergmann Denmark
D G Colin‐Jones United Kingdom
Mustafa Serteser Türkiye
Philip E. Empey United States
Mack C. Mitchell United States
Matthew J. Sorrentino United States
Yoseph Caraco Israel
Daniel Kurnik relative to Yan Gong United States Yan Gong's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Kurnik

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kurnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006131
2 2019101
3 200872
4 200571
5 200370
6 200667
7 200665
8 200460
9 201459
10 201056
11 200955
12 200052
13 201750
14 200850
15
Increased augmentation index in rheumatoid arthritis and its relationship to coronary artery atherosclerosis.
200750
16 201148
17 201048
18 201747
19 201238
20 200437

About Daniel Kurnik

Daniel Kurnik is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pharmacology, Nutrition and Dietetics and Cardiology and Cardiovascular Medicine, having authored 87 papers that have together received 2.0k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (8 papers), Pharmacogenetics and Drug Metabolism (8 papers), Receptor Mechanisms and Signaling (5 papers), Vitamin K Research Studies (5 papers), Blood Pressure and Hypertension Studies (4 papers), Hormonal and reproductive studies (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Heart Rate Variability and Autonomic Control (3 papers). The work is most often cited by research in Pharmacology (381 citations), Anesthesiology and Pain Medicine (93 citations), Cardiology and Cardiovascular Medicine (288 citations), Endocrinology, Diabetes and Metabolism (206 citations) and Internal Medicine (40 citations). Daniel Kurnik has collaborated with scholars based in Israel, United States and Finland. Frequent co-authors include Ronen Loebstein, Hillel Halkin, Shlomo Almog, Mordechai Muszkat, Alastair J.J. Wood, Gbenga G. Sofowora, Eva Gak, Chun Li, Christoph Stein and G. Wilkinson. Their work appears in journals such as Pharmacogenetics and Genomics, Clinical Pharmacology & Therapeutics, Clinical Toxicology, Pharmacogenomics and Therapeutic Drug Monitoring.

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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