J. Moravec

775 citations
49 papers · 618 · h-index 14

Impact in

Papers in

J. Moravec

48 papers receiving 586 citations

Peers

J. Moravec
Comparison fields: 5 of 70
  • Cardiology and Cardiovascular Medicine 370
  • Clinical Biochemistry 68
  • Cellular and Molecular Neuroscience 95
  • Physiology 122
  • Molecular Biology 321
Replace K Kiuchi with:
K Kiuchi United States
Fred D. Romano United States
J�rgen Schrader Germany
Alexis Ascah Canada
Natalia Petrashevskaya United States
James S. Heisner United States
S. Duteil France
N Furukawa United States
Aristide C. Chikando United States
P. Y. Hatt France
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Citations per field
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Citations per year

Countries citing papers authored by J. Moravec

Since Specialization
Citations

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

Fields of papers citing papers by J. Moravec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside J. Moravec, 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 J. Moravec Line = papers co-authored together J. Moravec links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199290
2 198070
3 199765
4 199038
5 199035
6 198727
7 197824
8 197122
9 198417
10 198916
11 198615
12 197414
13 198913
14 199413
15 199812
16 198411
17 197411
18 197711
19 198110
20 20028

About J. Moravec

J. Moravec is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 49 papers that have together received 618 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (15 papers), Cardiovascular Function and Risk Factors (12 papers), Cardiac Ischemia and Reperfusion (10 papers), Metabolism and Genetic Disorders (8 papers), Advanced MRI Techniques and Applications (7 papers), Adipose Tissue and Metabolism (7 papers), Receptor Mechanisms and Signaling (6 papers) and Cardiac electrophysiology and arrhythmias (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (370 citations), Clinical Biochemistry (68 citations), Cellular and Molecular Neuroscience (95 citations), Physiology (122 citations) and Molecular Biology (321 citations). J. Moravec has collaborated with scholars based in France, Sweden and Netherlands. Frequent co-authors include Zainab El Alaoui-Talibi, P. Y. Hatt, K Rakusan, S. Forsgren, Sture Forsgren, Bernard Swynghedauw, J. Perennec, Z. Turek, D. Feuvray and L. H. Opie. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Basic Research in Cardiology, Advances in experimental medicine and biology, American Journal of Physiology-Heart and Circulatory Physiology and Cell and Tissue 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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