Daniel Savard

1.1k citations
5 papers · 45 · h-index 3

Impact in

Papers in

Daniel Savard

4 papers receiving 34 citations

Peers

Daniel Savard
Comparison fields: 5 of 26
  • Cardiology and Cardiovascular Medicine 33
  • Radiology, Nuclear Medicine and Imaging 12
  • Nephrology 3
  • Anesthesiology and Pain Medicine 2
  • Emergency Medicine 3
Replace Sang Cheol Cho with:
Sang Cheol Cho South Korea
Devikumar U. Acharya United Kingdom
Hui-Kyung Jeon South Korea
Tiziana Zaro Italy
Christelle Cantet France
Sarolta Borbás Hungary
Sirpa Pohjola Finland
Ángeles Alonso-García Spain
Hakim-Moulay Dehbi United Kingdom
Mauro Ricardo Nunes Pontes Brazil
Daniel Savard relative to Sang Cheol Cho South Korea Sang Cheol Cho's profile →
Citations per field
00.5×1.5×
Sang Cheol Cho · 1×
Citations per year

Countries citing papers authored by Daniel Savard

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Savard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Daniel Savard, 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 Savard Line = papers co-authored together Daniel Savard links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 198234
2 19956
3
The role of diltiazem in treating hypertension and coronary artery disease: new approaches to preventing first events.
19974
4 19951
5 19950

About Daniel Savard

Daniel Savard is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Analytical Chemistry, Nutrition and Dietetics and Endocrinology, Diabetes and Metabolism, having authored 5 papers that have together received 45 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (2 papers), Blood Pressure and Hypertension Studies (2 papers), Synthesis and Biological Evaluation (1 paper), Analytical Methods in Pharmaceuticals (1 paper), Sodium Intake and Health (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Receptor Mechanisms and Signaling (1 paper) and Hormonal Regulation and Hypertension (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (33 citations), Radiology, Nuclear Medicine and Imaging (12 citations), Nephrology (3 citations), Anesthesiology and Pain Medicine (2 citations) and Emergency Medicine (3 citations). Daniel Savard has collaborated with scholars based in Canada. Frequent co-authors include Martin Morissette, J. GEORGE FODOR, K Rakusan, Terrence David Ruddy, Arun Chockalingam, Anand Chockalingam, James M Wright, Satoshi Handa, Anatoly Langer and Michael G. Baird. Their work appears in journals such as The American Journal of Cardiology, Journal of Cardiovascular Pharmacology, Cardiovascular Drugs and Therapy and PubMed.

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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