Myosotis Massidda

100 total papers · 1.4k total citations
53 papers, 590 citations indexed

About

Myosotis Massidda is a scholar working on Genetics, Orthopedics and Sports Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Myosotis Massidda has authored 53 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Genetics, 30 papers in Orthopedics and Sports Medicine and 21 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Myosotis Massidda's work include Genetics and Physical Performance (33 papers), Sports Performance and Training (23 papers) and Cardiovascular Effects of Exercise (21 papers). Myosotis Massidda is often cited by papers focused on Genetics and Physical Performance (33 papers), Sports Performance and Training (23 papers) and Cardiovascular Effects of Exercise (21 papers). Myosotis Massidda collaborates with scholars based in Italy, Poland and Japan. Myosotis Massidda's co-authors include Carla Maria Calò, Marco Scorcu, Francesco Piras, Laura Corrias, Giuseppe Vona, Nir Eynon, Paweł Cięszczyk, Xu Yan, Lucia Cugusi and Sarah Voisin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Medicine & Science in Sports & Exercise.

In The Last Decade

Myosotis Massidda

51 papers receiving 580 citations

Author Peers

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

Author Last Decade Papers Cites
Myosotis Massidda 394 378 259 115 55 53 590
Daniel Barbosa Coelho 466 1.2× 245 0.6× 195 0.8× 119 1.0× 108 2.0× 71 646
Rocío Cupeiro 245 0.6× 120 0.3× 92 0.4× 186 1.6× 206 3.7× 54 665
Moran Sagiv 241 0.6× 302 0.8× 253 1.0× 168 1.5× 93 1.7× 25 577
Verena Menz 283 0.7× 149 0.4× 110 0.4× 28 0.2× 71 1.3× 25 566
Georgina K. Stebbings 207 0.5× 180 0.5× 134 0.5× 88 0.8× 217 3.9× 48 580
Maarten Peeters 243 0.6× 322 0.9× 113 0.4× 94 0.8× 211 3.8× 48 683
Christian Doria 273 0.7× 113 0.3× 49 0.2× 79 0.7× 120 2.2× 43 640
Jakub Grzegorz Adamczyk 293 0.7× 101 0.3× 54 0.2× 71 0.6× 138 2.5× 90 607
Paul S.R. Goods 205 0.5× 205 0.5× 108 0.4× 133 1.2× 124 2.3× 44 550
Esther Morencos 332 0.8× 89 0.2× 68 0.3× 124 1.1× 116 2.1× 37 543

Countries citing papers authored by Myosotis Massidda

Since Specialization
Citations

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

Fields of papers citing papers by Myosotis Massidda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Myosotis Massidda

This figure shows the co-authorship network connecting the top 25 collaborators of Myosotis Massidda. A scholar is included among the top collaborators of Myosotis Massidda 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 Myosotis Massidda. Myosotis Massidda 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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2026