Ivan Luptak

3.0k citations
50 papers · 2.4k · h-index 26

Impact in

Papers in

Ivan Luptak

48 papers receiving 2.4k citations

Peers

Ivan Luptak
Comparison fields: 5 of 108
  • Cardiology and Cardiovascular Medicine 1.0k
  • Physiology 572
  • Clinical Biochemistry 144
  • Molecular Biology 1.4k
  • Endocrinology, Diabetes and Metabolism 316
Replace Lei Cui with:
Lei Cui China
Sandra Sena United States
Christian Riehle United States
Gary D. Lopaschuk Canada
Narayana Anilkumar United Kingdom
Michinari Nakamura United States
Leonard G. Meggs United States
Yosuke Kayama Japan
Christina Christoffersen Denmark
María U. Moreno Spain
Ivan Luptak relative to Lei Cui China Lei Cui's profile →
Citations per field
00.5×1.5×1.8×
Lei Cui · 1×
Citations per year

Countries citing papers authored by Ivan Luptak

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Luptak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011309
2 2002256
3 2003191
4 2005135
5 2019110
6 2007103
7 201699
8 201399
9 201298
10 201884
11 200779
12 201470
13 201161
14 201259
15 202157
16 201255
17 201453
18 200353
19 200548
20 200748

About Ivan Luptak

Ivan Luptak is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Physiology and Endocrinology, Diabetes and Metabolism, having authored 50 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (19 papers), Mitochondrial Function and Pathology (12 papers), Pancreatic function and diabetes (10 papers), Metabolism, Diabetes, and Cancer (10 papers), Adipose Tissue and Metabolism (9 papers), Cardiac electrophysiology and arrhythmias (6 papers), Diabetes Treatment and Management (5 papers) and Cardiac Ischemia and Reperfusion (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.0k citations), Physiology (572 citations), Clinical Biochemistry (144 citations), Molecular Biology (1.4k citations) and Endocrinology, Diabetes and Metabolism (316 citations). Ivan Luptak has collaborated with scholars based in United States, Slovakia and Czechia. Frequent co-authors include Rong Tian, Wilson S. Colucci, Fuzhong Qin, David R. Pimentel, Deborah A. Siwik, Yanqiu Xing, Ronglih Liao, Mohit Jain, Lei Cui and James A. Balschi. Their work appears in journals such as Circulation, Journal of Molecular and Cellular Cardiology, Journal of the American Heart Association, Scientific Reports and Physiological Research.

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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