Daniel Kurnik

2.9k citations
86 papers · 1.9k indexed · h-index 25

Daniel Kurnik

83 papers receiving 1.9k citations

Peers

Daniel Kurnik
Comparison fields: 5 of 134
  • Pharmacology 423
  • Anesthesiology and Pain Medicine 111
  • Endocrinology, Diabetes and Metabolism 295
  • Cardiology and Cardiovascular Medicine 395
  • Biochemistry 94
Replace C. Michael Stein with:
C. Michael Stein United States
Wayne T. Nicholson United States
Barjesh Chander Sharma India
Yan Gong United States
Suthat Liangpunsakul United States
Caroline Samer Switzerland
Mustafa Serteser Türkiye
Bradley L. Urquhart Canada
Thierry Girard Switzerland
Daniel Kurnik relative to C. Michael Stein United States C. Michael Stein's profile →
Citations per field
00.5×1.5×
C. Michael Stein · 1×
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-authorship network

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
#Work
1 20230
2 201993
3 20197
4 201746
5 201612
6 20162
7
Implementation of a clinical decision support system for computerized drug prescription entries in a large tertiary care hospital.
201417
8 201411
9 201313
10 201216
11 201236
12 20117
13 201013
14 20094
15 20094
16 200926
17 2006128
18 200626
19 200664
20 200437

About Daniel Kurnik

Daniel Kurnik is a scholar working on Pharmacology, Toxicology, Endocrinology, Diabetes and Metabolism, Family Practice and Anesthesiology and Pain Medicine, having authored 86 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (12 papers), Pharmacogenetics and Drug Metabolism (11 papers), Receptor Mechanisms and Signaling (11 papers), Heart Rate Variability and Autonomic Control (7 papers), Pharmacological Effects and Assays (6 papers), Pharmacological Effects and Toxicity Studies (6 papers), Vitamin K Research Studies (6 papers) and Drug Transport and Resistance Mechanisms (5 papers). The work is most often cited by research in Pharmacology (423 citations), Anesthesiology and Pain Medicine (111 citations), Endocrinology, Diabetes and Metabolism (295 citations), Cardiology and Cardiovascular Medicine (395 citations) and Biochemistry (94 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, Christoph Stein, G. Wilkinson and Chun Li. Their work appears in journals such as Pharmacogenetics and Genomics, Clinical Pharmacology & Therapeutics, Clinical Toxicology, Journal of Hypertension 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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