Mariane Secco

21 total papers · 1.1k total citations
15 papers, 763 citations indexed

About

Mariane Secco is a scholar working on Genetics, Surgery and Molecular Biology. According to data from OpenAlex, Mariane Secco has authored 15 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 10 papers in Surgery and 9 papers in Molecular Biology. Recurrent topics in Mariane Secco's work include Mesenchymal stem cell research (13 papers), Tissue Engineering and Regenerative Medicine (10 papers) and Muscle Physiology and Disorders (7 papers). Mariane Secco is often cited by papers focused on Mesenchymal stem cell research (13 papers), Tissue Engineering and Regenerative Medicine (10 papers) and Muscle Physiology and Disorders (7 papers). Mariane Secco collaborates with scholars based in Brazil, United States and United Kingdom. Mariane Secco's co-authors include Mayana Zatz, Eder Zucconi, Natássia M. Vieira, Tatiana Jazedje, Oswaldo Keith Okamoto, Alysson R. Muotri, Antonia Cerqueira, Mariz Vainzof, Daniela Franco Bueno and V. Brandalise and has published in prestigious journals such as SHILAP Revista de lepidopterología, Stem Cells and BioMed Research International.

In The Last Decade

Mariane Secco

15 papers receiving 742 citations

Author Peers

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

Author Last Decade Papers Cites
Mariane Secco 548 372 328 110 60 15 763
Tatiana Jazedje 529 1.0× 359 1.0× 304 0.9× 101 0.9× 69 1.1× 14 737
Arjunan Subramanian 508 0.9× 267 0.7× 243 0.7× 116 1.1× 79 1.3× 20 712
Ju Ah Jeong 638 1.2× 439 1.2× 345 1.1× 107 1.0× 56 0.9× 9 855
Serena Urbani 424 0.8× 307 0.8× 274 0.8× 75 0.7× 89 1.5× 22 907
Christine Bousquet 607 1.1× 371 1.0× 216 0.7× 148 1.3× 107 1.8× 11 848
Jung Youn Jo 453 0.8× 237 0.6× 244 0.7× 80 0.7× 59 1.0× 11 714
ByungChul Kim 547 1.0× 319 0.9× 254 0.8× 168 1.5× 79 1.3× 12 833
Carolina Caliári-Oliveira 460 0.8× 242 0.7× 209 0.6× 91 0.8× 63 1.1× 11 757
Naoko Hida 416 0.8× 426 1.1× 348 1.1× 166 1.5× 41 0.7× 12 808
Angela Muise 493 0.9× 330 0.9× 210 0.6× 121 1.1× 41 0.7× 12 671

Countries citing papers authored by Mariane Secco

Since Specialization
Citations

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

Fields of papers citing papers by Mariane Secco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariane Secco

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