Daniel Karila‐Cohen

523 citations
16 papers · 363 · h-index 8

Impact in

Papers in

Daniel Karila‐Cohen

16 papers receiving 344 citations

Peers

Daniel Karila‐Cohen
Comparison fields: 5 of 55
  • Cardiology and Cardiovascular Medicine 285
  • Radiology, Nuclear Medicine and Imaging 181
  • Critical Care and Intensive Care Medicine 18
  • Emergency Medicine 31
  • Surgery 84
Replace Antoni Curós with:
Antoni Curós Spain
C Schmitz Germany
W. Jaarsma Netherlands
Charilaos Tsioulpas Italy
Gerald Hollander United States
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Citations per field
00.5×3.6×
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Citations per year

Countries citing papers authored by Daniel Karila‐Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Karila‐Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2002156
2 199846
3 200334
4 199934
5 199928
6
Relationship between resting 201Tl reverse redistribution, microvascular perfusion, and functional recovery in acute myocardial infarction.
200020
7 199613
8
[Revision of the "Smoker's Paradox": smoking is not a good prognostic factor immediately after myocardial infarction].
20018
9 20004
10 19994
11 19984
12 19953
13 20013
14 20042
15 20032
16
[The coronary atherosclerosis of the diabetic].
20002

About Daniel Karila‐Cohen

Daniel Karila‐Cohen is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Emergency Medicine and Epidemiology, having authored 16 papers that have together received 363 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (7 papers), Cardiac electrophysiology and arrhythmias (4 papers), Acute Myocardial Infarction Research (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Ultrasound and Hyperthermia Applications (2 papers), Cardiac Structural Anomalies and Repair (2 papers), Cardiac Arrest and Resuscitation (2 papers) and Coronary Interventions and Diagnostics (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (285 citations), Radiology, Nuclear Medicine and Imaging (181 citations), Critical Care and Intensive Care Medicine (18 citations), Emergency Medicine (31 citations) and Surgery (84 citations). Daniel Karila‐Cohen has collaborated with scholars based in France. Frequent co-authors include Philippe Gabríel Steg, Bernard Iung, Jean‐Pierre Laissy, Olivier Varenne, E. Schouman‐Claeys, Éric Brochet, Marc Faraggi, Patrick Assayag, Daniel Czitrom and Hakim Benamer. Their work appears in journals such as European Heart Journal, International Journal of Cardiology, Journal of Cardiovascular Pharmacology, Journal of the American College of Cardiology and The American Journal of Cardiology.

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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