Gabriel M. Levis

53 total papers · 692 total citations
43 papers, 562 citations indexed

About

Gabriel M. Levis is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Gabriel M. Levis has authored 43 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Physiology and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Gabriel M. Levis's work include Glycosylation and Glycoproteins Research (9 papers), Cardiac electrophysiology and arrhythmias (7 papers) and Cardiac Ischemia and Reperfusion (6 papers). Gabriel M. Levis is often cited by papers focused on Glycosylation and Glycoproteins Research (9 papers), Cardiac electrophysiology and arrhythmias (7 papers) and Cardiac Ischemia and Reperfusion (6 papers). Gabriel M. Levis collaborates with scholars based in Greece, United States and United Kingdom. Gabriel M. Levis's co-authors include James F. Mead, J. Mantzos, S.D. Moulopoulos, B. Malamos, George A. Karikas, Maria Anastasiou‐Nana, Gregory P. Evangelatos, Helen E. Savaki, Michaël J. Crumpton and Elisabeth C. Samouilidou and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Gabriel M. Levis

43 papers receiving 515 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gabriel M. Levis 300 104 96 92 91 43 562
Friedrich Bruns 216 0.7× 113 1.1× 54 0.6× 39 0.4× 25 0.3× 37 555
Jen‐sie Tou 295 1.0× 87 0.8× 66 0.7× 21 0.2× 54 0.6× 29 573
Laura Giuseppina Di Pasqua 210 0.7× 96 0.9× 79 0.8× 26 0.3× 53 0.6× 44 625
M. Perenna Rogers 311 1.0× 90 0.9× 61 0.6× 110 1.2× 27 0.3× 29 607
Maryvonne Ciavatti 131 0.4× 91 0.9× 57 0.6× 74 0.8× 264 2.9× 43 626
W. Schrade 154 0.5× 118 1.1× 75 0.8× 45 0.5× 166 1.8× 37 601
Weixin Li 291 1.0× 68 0.7× 25 0.3× 74 0.8× 64 0.7× 32 661
Maja Klapper 464 1.5× 124 1.2× 128 1.3× 29 0.3× 50 0.5× 29 695
Dagmar Bartos 268 0.9× 112 1.1× 120 1.3× 24 0.3× 27 0.3× 28 587
Merrill Overturf 234 0.8× 113 1.1× 29 0.3× 221 2.4× 45 0.5× 31 535

Countries citing papers authored by Gabriel M. Levis

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel M. Levis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriel M. Levis. 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 Gabriel M. Levis. The network helps show where Gabriel M. Levis may publish in the future.

Co-authorship network of co-authors of Gabriel M. Levis

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel M. Levis. A scholar is included among the top collaborators of Gabriel M. Levis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gabriel M. Levis. Gabriel M. Levis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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