Tomas Lapinskas

111 total papers · 2.9k total citations
46 papers, 728 citations indexed

About

Tomas Lapinskas is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Tomas Lapinskas has authored 46 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cardiology and Cardiovascular Medicine, 32 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Surgery. Recurrent topics in Tomas Lapinskas's work include Cardiovascular Function and Risk Factors (33 papers), Cardiac Imaging and Diagnostics (31 papers) and Advanced MRI Techniques and Applications (20 papers). Tomas Lapinskas is often cited by papers focused on Cardiovascular Function and Risk Factors (33 papers), Cardiac Imaging and Diagnostics (31 papers) and Advanced MRI Techniques and Applications (20 papers). Tomas Lapinskas collaborates with scholars based in Lithuania, Germany and United States. Tomas Lapinskas's co-authors include Sebastian Kelle, Burkert Pieske, Andreas Schuster, Sorin Giuşcă, Grigorios Korosoglou, Victoria Zieschang, Rolf Gebker, Christian Stehning, Jennifer Erley and Henning Steen and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

In The Last Decade

Tomas Lapinskas

44 papers receiving 723 citations

Author Peers

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

Author						Papers	Cites
Tomas Lapinskas	577	441	111	60	52	46	728
Martin Been	456 0.8×	278 0.6×	217 2.0×	91 1.5×	41 0.8×	41	740
Eileen M. McMahon	581 1.0×	308 0.7×	110 1.0×	92 1.5×	61 1.2×	49	770
Amrit Lota	576 1.0×	247 0.6×	175 1.6×	51 0.8×	60 1.2×	38	828
André Luiz Cerqueira de Almeida	593 1.0×	268 0.6×	47 0.4×	49 0.8×	45 0.9×	24	710
R. Giles	475 0.8×	272 0.6×	219 2.0×	119 2.0×	51 1.0×	39	757
Melanie Freeman	491 0.9×	209 0.5×	246 2.2×	56 0.9×	44 0.8×	57	712
Linjun Xie	456 0.8×	293 0.7×	99 0.9×	63 1.1×	76 1.5×	50	681
Stefano Del Pace	627 1.1×	277 0.6×	198 1.8×	32 0.5×	94 1.8×	44	756
Karl‐Christian Koch	465 0.8×	375 0.9×	258 2.3×	80 1.3×	121 2.3×	36	908
Lilia Oreto	642 1.1×	209 0.5×	141 1.3×	117 1.9×	124 2.4×	52	833

Countries citing papers authored by Tomas Lapinskas

Since Specialization

Citations

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

Fields of papers citing papers by Tomas Lapinskas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomas Lapinskas

This figure shows the co-authorship network connecting the top 25 collaborators of Tomas Lapinskas. A scholar is included among the top collaborators of Tomas Lapinskas 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 Tomas Lapinskas. Tomas Lapinskas 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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