S. Pescariu

84 total papers · 570 total citations
28 papers, 224 citations indexed

About

S. Pescariu is a scholar working on Cardiology and Cardiovascular Medicine, Neurology and Infectious Diseases. According to data from OpenAlex, S. Pescariu has authored 28 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 8 papers in Neurology and 7 papers in Infectious Diseases. Recurrent topics in S. Pescariu's work include Cardiovascular Function and Risk Factors (9 papers), Long-Term Effects of COVID-19 (7 papers) and Cardiac pacing and defibrillation studies (6 papers). S. Pescariu is often cited by papers focused on Cardiovascular Function and Risk Factors (9 papers), Long-Term Effects of COVID-19 (7 papers) and Cardiac pacing and defibrillation studies (6 papers). S. Pescariu collaborates with scholars based in Romania, Japan and United States. S. Pescariu's co-authors include Mariana Tudoran, Cristina Tudoran, Gheorghe Nicușor Pop, Talida Georgiana Cut, Voichița Elena Lăzureanu, Alexandra Enache, Cristian Oancea, Felix Bende, Felix Bratosin and Cristina Bredicean and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Journal of Clinical Medicine.

In The Last Decade

S. Pescariu

24 papers receiving 215 citations

Author Peers

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

Author Last Decade Papers Cites
S. Pescariu 94 93 78 34 28 28 224
Martina Zappa 76 0.8× 136 1.5× 61 0.8× 16 0.5× 55 2.0× 33 267
Fabio Anastasio 104 1.1× 46 0.5× 114 1.5× 31 0.9× 75 2.7× 19 243
Álvaro Aparisi 85 0.9× 101 1.1× 108 1.4× 14 0.4× 21 0.8× 35 253
Andrey Yavorovskiy 43 0.5× 65 0.7× 57 0.7× 11 0.3× 35 1.3× 38 244
Setsuko Suzuki 60 0.6× 102 1.1× 22 0.3× 15 0.4× 35 1.3× 34 203
Annalisa Frizzelli 117 1.2× 76 0.8× 27 0.3× 37 1.1× 123 4.4× 33 314
Marzia Spessot 29 0.3× 57 0.6× 110 1.4× 19 0.6× 32 1.1× 20 220
Tomoya Tsuchida 103 1.1× 75 0.8× 20 0.3× 34 1.0× 14 0.5× 27 190
Marina Rieder 44 0.5× 120 1.3× 69 0.9× 6 0.2× 26 0.9× 31 289
Yolanda Ruíz 89 0.9× 54 0.6× 13 0.2× 38 1.1× 21 0.8× 16 152

Countries citing papers authored by S. Pescariu

Since Specialization
Citations

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

Fields of papers citing papers by S. Pescariu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Pescariu

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