Marika Milan

20 total papers · 725 total citations
14 papers, 527 citations indexed

About

Marika Milan is a scholar working on Molecular Biology, Surgery and Biomedical Engineering. According to data from OpenAlex, Marika Milan has authored 14 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Biomedical Engineering. Recurrent topics in Marika Milan's work include Tissue Engineering and Regenerative Medicine (4 papers), Extracellular vesicles in disease (4 papers) and Muscle Physiology and Disorders (4 papers). Marika Milan is often cited by papers focused on Tissue Engineering and Regenerative Medicine (4 papers), Extracellular vesicles in disease (4 papers) and Muscle Physiology and Disorders (4 papers). Marika Milan collaborates with scholars based in Italy, Poland and Israel. Marika Milan's co-authors include Roberto Rizzi, Fabio Maiullari, Maila Chirivì, Claudia Bearzi, Valentina Pace, Marco Costantini, Silvia Maiullari, Denisa Baci, Dror Seliktar and Cesare Gargioli and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Cardiovascular Research.

In The Last Decade

Marika Milan

13 papers receiving 521 citations

Author Peers

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

Author Last Decade Papers Cites
Marika Milan 305 213 155 114 96 14 527
Maila Chirivì 308 1.0× 201 0.9× 154 1.0× 112 1.0× 97 1.0× 12 501
Fabio Maiullari 322 1.1× 182 0.9× 159 1.0× 124 1.1× 104 1.1× 14 502
Bradley W. Ellis 241 0.8× 165 0.8× 148 1.0× 40 0.4× 79 0.8× 17 507
Yvonne Förster 261 0.9× 130 0.6× 135 0.9× 67 0.6× 81 0.8× 19 603
Yang Qin 260 0.9× 162 0.8× 63 0.4× 94 0.8× 110 1.1× 22 576
Daniel Naveed Tavakol 311 1.0× 146 0.7× 109 0.7× 46 0.4× 99 1.0× 29 564
Stephanie Stoelting 307 1.0× 132 0.6× 60 0.4× 177 1.6× 42 0.4× 9 459
Jörg Jäkel 333 1.1× 108 0.5× 76 0.5× 203 1.8× 48 0.5× 23 517
Pam M. Van Ry 232 0.8× 186 0.9× 63 0.4× 95 0.8× 50 0.5× 18 519
Petra E. Bürgisser 126 0.4× 231 1.1× 102 0.7× 67 0.6× 44 0.5× 24 608

Countries citing papers authored by Marika Milan

Since Specialization
Citations

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

Fields of papers citing papers by Marika Milan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marika Milan

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