Marcin Dada

8.3k citations
33 papers · 1.2k · h-index 20

Impact in

Papers in

Marcin Dada

31 papers receiving 1.1k citations

Peers

Marcin Dada
Comparison fields: 5 of 66
  • Cardiology and Cardiovascular Medicine 491
  • Radiology, Nuclear Medicine and Imaging 417
  • Surgery 470
  • Nephrology 27
  • Endocrinology, Diabetes and Metabolism 56
Replace Sung‐Ho Her with:
Sung‐Ho Her South Korea
Anita A. Kelkar United States
Rabih R. Azar Lebanon
Myeong‐Ho Yoon South Korea
Pierluigi Costanzo Italy
Jae‐Bin Seo South Korea
Radosav Vidaković Netherlands
Hany Eteiba United Kingdom
A Durazzo Portugal
R. van Domburg Netherlands
Marcin Dada relative to Sung‐Ho Her South Korea Sung‐Ho Her's profile →
Citations per field
00.5×1.6×
Sung‐Ho Her · 1×
Citations per year

Countries citing papers authored by Marcin Dada

Since Specialization
Citations

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

Fields of papers citing papers by Marcin Dada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015174
2 2014138
3 200897
4 201378
5 200971
6 200664
7 200651
8 200949
9 200948
10 201433
11 201130
12 200928
13 201127
14 201527
15 201526
16 200926
17 201324
18 200624
19 201320
20 201119

About Marcin Dada

Marcin Dada is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Emergency Medicine, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (12 papers), Coronary Interventions and Diagnostics (12 papers), Acute Myocardial Infarction Research (8 papers), Cardiovascular Function and Risk Factors (2 papers), Cardiovascular Health and Risk Factors (1 paper), Lipoproteins and Cardiovascular Health (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (491 citations), Radiology, Nuclear Medicine and Imaging (417 citations), Surgery (470 citations), Nephrology (27 citations) and Endocrinology, Diabetes and Metabolism (56 citations). Marcin Dada has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include William E. Boden, William S. Weintraub, Koon Teo, David J. Maron, Pamela Hartigan, John A. Spertus, G.B. John Mancini, Steven P. Sedlis, William J. Kostuk and Bernard Chaitman. Their work appears in journals such as The American Journal of Cardiology, Circulation Cardiovascular Quality and Outcomes, Journal of the American College of Cardiology, American Heart Journal and Circulation.

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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