Valeria Manca

16 total papers · 761 total citations
7 papers, 412 citations indexed

About

Valeria Manca is a scholar working on Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Pharmacology. According to data from OpenAlex, Valeria Manca has authored 7 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 2 papers in Pediatrics, Perinatology and Child Health and 1 paper in Pharmacology. Recurrent topics in Valeria Manca's work include Chemotherapy-induced cardiotoxicity and mitigation (2 papers), Sleep and Wakefulness Research (1 paper) and Cannabis and Cannabinoid Research (1 paper). Valeria Manca is often cited by papers focused on Chemotherapy-induced cardiotoxicity and mitigation (2 papers), Sleep and Wakefulness Research (1 paper) and Cannabis and Cannabinoid Research (1 paper). Valeria Manca collaborates with scholars based in Italy. Valeria Manca's co-authors include Patrizia Fabbi, Paolo Spallarossa, G Ghigliotti, Paola Altieri, Alberto Ballestrero, Silvano Garibaldi, Franco Patrone, Pierfranco Rossettin, Sabina Nasti and Chiara Barisione and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Cardiovascular Research.

In The Last Decade

Valeria Manca

5 papers receiving 400 citations

Author Peers

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

Author Last Decade Papers Cites
Valeria Manca 275 134 120 67 47 7 412
Pierfranco Rossettin 264 1.0× 110 0.8× 79 0.7× 57 0.9× 37 0.8× 12 379
Douglas P. Chadwick 358 1.3× 151 1.1× 88 0.7× 67 1.0× 55 1.2× 8 478
Maria Mitry 199 0.7× 83 0.6× 99 0.8× 32 0.5× 39 0.8× 6 386
Pedro M. Politi 186 0.7× 203 1.5× 181 1.5× 40 0.6× 44 0.9× 18 466
Koichi Tomaru 232 0.8× 41 0.3× 169 1.4× 42 0.6× 30 0.6× 9 409
Olivier Hachet 248 0.9× 98 0.7× 72 0.6× 18 0.3× 41 0.9× 10 377
Shenghui Sun 111 0.4× 56 0.4× 207 1.7× 25 0.4× 98 2.1× 12 425
Katalin Hantó 87 0.3× 184 1.4× 216 1.8× 74 1.1× 17 0.4× 10 402
Miguel-Angel Gallego 71 0.3× 65 0.5× 189 1.6× 31 0.5× 20 0.4× 5 386
Rosalind D. Friedman 50 0.2× 101 0.8× 220 1.8× 19 0.3× 16 0.3× 13 400

Countries citing papers authored by Valeria Manca

Since Specialization
Citations

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

Fields of papers citing papers by Valeria Manca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valeria Manca

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