Darko Pucar

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

Impact in

Papers in

Darko Pucar

65 papers receiving 2.5k citations

Peers

Darko Pucar
Comparison fields: 5 of 102
  • Pulmonary and Respiratory Medicine 1.0k
  • Pathology and Forensic Medicine 529
  • Radiology, Nuclear Medicine and Imaging 474
  • Emergency Medicine 165
  • Developmental Neuroscience 70
Replace Marcelo F. DiCarli with:
Marcelo F. DiCarli United States
Bruce W. Mielke Canada
Masazumi Arai Japan
Jörg Stypmann Germany
Christopher G. Rhodes United Kingdom
Rupak Mukherjee United States
Ken‐ichi Kawabata Japan
James S. Nelson United States
Jack Phan United States
Shiro Sasaguri Japan
Darko Pucar relative to Marcelo F. DiCarli United States Marcelo F. DiCarli's profile →
Citations per field
00.5×8.6×
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 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006313
2 2002270
3 2007239
4 2001218
5 2005155
6 2005153
7 2007134
8 2002126
9 2003116
10 200182
11 202272
12 200871
13 200070
14 200254
15 200652
16 199946
17 200742
18 202140
19 200336
20 201028

About Darko Pucar

Darko Pucar is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Surgery and Molecular Biology, having authored 70 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 (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Cardiac Ischemia and Reperfusion (6 papers), Ion channel regulation and function (6 papers), Mitochondrial Function and Pathology (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 (1.0k citations), Pathology and Forensic Medicine (529 citations), Radiology, Nuclear Medicine and Imaging (474 citations), Emergency Medicine (165 citations) and Developmental Neuroscience (70 citations). Darko Pucar has collaborated with scholars based in United States, Japan and Netherlands. 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 Biological Chemistry, American Journal of Physiology-Heart and Circulatory Physiology, Nuclear Medicine Communications, Molecular and Cellular Biochemistry and Radiology.

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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