Mons Lie

36 total papers · 410 total citations
12 papers, 299 citations indexed

About

Mons Lie is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mons Lie has authored 12 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 3 papers in Surgery and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mons Lie's work include Cardiac Valve Diseases and Treatments (3 papers), Congenital Heart Disease Studies (2 papers) and Coronary Interventions and Diagnostics (1 paper). Mons Lie is often cited by papers focused on Cardiac Valve Diseases and Treatments (3 papers), Congenital Heart Disease Studies (2 papers) and Coronary Interventions and Diagnostics (1 paper). Mons Lie collaborates with scholars based in Norway, United Kingdom and Russia. Mons Lie's co-authors include Fredrik Kiil, Ole M. Sejersted, John Pepper, Trygve Husebye, Cathrine Wold Knudsen, Marek Jasiński, Levant Guvendik, Andrzej Bochenek, Jullien Gaer and Michael Henein and has published in prestigious journals such as Circulation, Circulation Research and European Journal of Heart Failure.

In The Last Decade

Mons Lie

9 papers receiving 278 citations

Author Peers

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

Author						Papers	Cites
Mons Lie	221	90	89	70	63	12	299
Dawn Bond	162 0.7×	111 1.2×	110 1.2×	70 1.0×	37 0.6×	17	353
C M White	190 0.9×	45 0.5×	123 1.4×	38 0.5×	32 0.5×	9	352
Costanza Goffredo	227 1.0×	54 0.6×	124 1.4×	29 0.4×	30 0.5×	11	318
Adrian Morley‐Davies	217 1.0×	73 0.8×	40 0.4×	29 0.4×	47 0.7×	15	315
Agostino Buonauro	173 0.8×	76 0.8×	43 0.5×	28 0.4×	37 0.6×	15	275
Ivan Calchera	215 1.0×	32 0.4×	84 0.9×	70 1.0×	27 0.4×	15	326
Ilaria Caldarera	196 0.9×	117 1.3×	109 1.2×	55 0.8×	20 0.3×	15	315
L Boffi	152 0.7×	76 0.8×	81 0.9×	31 0.4×	36 0.6×	13	263
Antônio Fernando Furlan Pinotti	140 0.6×	114 1.3×	55 0.6×	31 0.4×	38 0.6×	16	329
Uggi Agnarsson	126 0.6×	32 0.4×	166 1.9×	41 0.6×	32 0.5×	12	297

Countries citing papers authored by Mons Lie

Since Specialization

Citations

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

Fields of papers citing papers by Mons Lie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mons Lie

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