Daniele Massera

110 total papers · 1.4k total citations
58 papers, 743 citations indexed

About

Daniele Massera is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Epidemiology. According to data from OpenAlex, Daniele Massera has authored 58 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cardiology and Cardiovascular Medicine, 12 papers in Surgery and 12 papers in Epidemiology. Recurrent topics in Daniele Massera's work include Cardiomyopathy and Myosin Studies (22 papers), Cardiovascular Function and Risk Factors (12 papers) and Cardiac Imaging and Diagnostics (12 papers). Daniele Massera is often cited by papers focused on Cardiomyopathy and Myosin Studies (22 papers), Cardiovascular Function and Risk Factors (12 papers) and Cardiac Imaging and Diagnostics (12 papers). Daniele Massera collaborates with scholars based in United States, United Kingdom and Italy. Daniele Massera's co-authors include Jorge R. Kizer, Marc R. Dweck, Robert J. Ostfeld, Mark V. Sherrid, Manvendra K. Singh, Jonathan A. Epstein, Kathleen Allen, Min Lü, Gurusher Panjrath and Neal D. Barnard and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Daniele Massera

51 papers receiving 730 citations

Author Peers

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

Author Last Decade Papers Cites
Daniele Massera 499 167 151 126 123 58 743
Ali Elitok 409 0.8× 149 0.9× 113 0.7× 151 1.2× 73 0.6× 48 769
Ragnar Daníelsen 536 1.1× 155 0.9× 229 1.5× 112 0.9× 93 0.8× 52 793
Köksal Ceyhan 449 0.9× 171 1.0× 109 0.7× 212 1.7× 86 0.7× 59 876
Borut Jug 455 0.9× 89 0.5× 87 0.6× 250 2.0× 73 0.6× 75 854
P Pietri 420 0.8× 118 0.7× 101 0.7× 222 1.8× 76 0.6× 45 888
Sayaka Kadowaki 290 0.6× 136 0.8× 100 0.7× 118 0.9× 71 0.6× 40 644
Mari Iwamoto 299 0.6× 159 1.0× 162 1.1× 161 1.3× 201 1.6× 45 665
Serkan Bulur 290 0.6× 161 1.0× 47 0.3× 99 0.8× 64 0.5× 42 667
Á. Sepúlveda‐Martínez 251 0.5× 243 1.5× 67 0.4× 82 0.7× 111 0.9× 59 872
Burak Açar 318 0.6× 121 0.7× 55 0.4× 132 1.0× 54 0.4× 101 636

Countries citing papers authored by Daniele Massera

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Massera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Massera

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