Grigore Popusoi

36 total papers · 949 total citations
21 papers, 648 citations indexed

About

Grigore Popusoi is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Grigore Popusoi has authored 21 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 10 papers in Surgery and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Grigore Popusoi's work include Peripheral Artery Disease Management (9 papers), Cerebrovascular and Carotid Artery Diseases (9 papers) and Coronary Interventions and Diagnostics (7 papers). Grigore Popusoi is often cited by papers focused on Peripheral Artery Disease Management (9 papers), Cerebrovascular and Carotid Artery Diseases (9 papers) and Coronary Interventions and Diagnostics (7 papers). Grigore Popusoi collaborates with scholars based in Italy, Czechia and United States. Grigore Popusoi's co-authors include Tullio Tesorio, Eugenio Stabile, Angelo Cioppa, Luigi Salemme, Paolo Rubino, Armando Pucciarelli, Linda Cota, Giovanni Sorropago, Vittorio Ambrosini and G. Biamino and has published in prestigious journals such as Journal of the American College of Cardiology, Diabetes Care and Journal of Vascular Surgery.

In The Last Decade

Grigore Popusoi

19 papers receiving 626 citations

Author Peers

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

Author						Papers	Cites
Grigore Popusoi	409	379	254	152	56	21	648
Linda Cota	365 0.9×	315 0.8×	294 1.2×	190 1.3×	58 1.0×	16	676
Gerald Dorros	483 1.2×	473 1.2×	152 0.6×	102 0.7×	93 1.7×	21	679
Towne Jb	401 1.0×	336 0.9×	144 0.6×	67 0.4×	101 1.8×	16	571
Walter A. Tan	420 1.0×	328 0.9×	312 1.2×	133 0.9×	120 2.1×	25	666
L. Lauterjung	650 1.6×	460 1.2×	196 0.8×	108 0.7×	47 0.8×	33	779
Joseph J. Verska	282 0.7×	264 0.7×	268 1.1×	203 1.3×	24 0.4×	16	624
Daryl S Kucey	563 1.4×	233 0.6×	374 1.5×	169 1.1×	111 2.0×	27	712
Jeanwan Kang	652 1.6×	368 1.0×	312 1.2×	99 0.7×	67 1.2×	33	777
Ashraf Mansour	429 1.0×	349 0.9×	193 0.8×	302 2.0×	110 2.0×	22	752
J.-P. Becquemin	530 1.3×	397 1.0×	239 0.9×	82 0.5×	89 1.6×	32	707

Countries citing papers authored by Grigore Popusoi

Since Specialization

Citations

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

Fields of papers citing papers by Grigore Popusoi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grigore Popusoi

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