Darko Pucar

3.3k citations
75 papers · 2.6k · h-index 22

Impact in

Papers in

Darko Pucar

71 papers receiving 2.6k citations

Peers

Darko Pucar
Comparison fields: 5 of 102
  • Pulmonary and Respiratory Medicine 1.1k
  • Pathology and Forensic Medicine 539
  • Radiology, Nuclear Medicine and Imaging 487
  • Emergency Medicine 173
  • Developmental Neuroscience 73
Replace Marcelo F. DiCarli with:
Marcelo F. DiCarli United States
Preeti Ahuja United States
Bianca Gutfilen Brazil
Bruce W. Mielke Canada
Timothy A. Sutton United States
Masazumi Arai Japan
Kieran J. Clarke United Kingdom
Robert F. Hoyt United States
Kathrin Zaugg Switzerland
Frank Wiesmann Germany
Darko Pucar relative to Marcelo F. DiCarli United States Marcelo F. DiCarli's profile →
Citations per field
00.5×2×4×5.8×
Marcelo F. DiCarli · 1×
Citations per year

Countries citing papers authored by Darko Pucar

Since Specialization
Citations

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

Fields of papers citing papers by Darko Pucar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006315
2 2002272
3 2007249
4 2001218
5 2005160
6 2005154
7 2007134
8 2002127
9 2003116
10 202285
11 200183
12 200872
13 200071
14 200258
15 200654
16 199947
17 200743
18 202141
19 200336
20 201029

About Darko Pucar

Darko Pucar is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Oncology and Surgery, having authored 75 papers that have together received 2.6k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (10 papers), Medical Imaging Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Ion channel regulation and function (6 papers), Mitochondrial Function and Pathology (6 papers), Cardiac Ischemia and Reperfusion (6 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Advanced MRI Techniques and Applications (5 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.1k citations), Pathology and Forensic Medicine (539 citations), Radiology, Nuclear Medicine and Imaging (487 citations), Emergency Medicine (173 citations) and Developmental Neuroscience (73 citations). Darko Pucar has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Hedvig Hricak, Peter T. Scardino, Kentaro Kuroiwa, Petras P. Dzeja, André Terzic, Peter Bast, Amita Shukla‐Dave, Denice M. Hodgson, Bé Wieringa and Chaya S. Moskowitz. Their work appears in journals such as Journal of Nuclear Cardiology, Journal of Biological Chemistry, American Journal of Physiology-Heart and Circulatory Physiology, Nuclear Medicine Communications and Journal of Nuclear Medicine.

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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