Mariane Secco

1.1k total citations
15 papers, 762 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 762 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, V. Brandalise and Daniela Franco Bueno 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 741 citations

Peers

Mariane Secco
Comparison fields: 5 of 63
  • Genetics 547
  • Surgery 371
  • Molecular Biology 329
  • Biomaterials 109
  • Oncology 60
Replace Tatiana Jazedje with:
Tatiana Jazedje Brazil
Ju Ah Jeong South Korea
Arjunan Subramanian Singapore
Serena Urbani Italy
Jung Youn Jo South Korea
Soo Han Hwang South Korea
Kristine M. Safford United States
Yongxin Lu China
Alejandro Blázquez-Martínez Spain
Naoko Hida Japan
Tatiana Jazedje Brazil View profile →
Citations per field, relative to Mariane Secco
Mariane Secco · 1×
Citations per year, relative to Mariane Secco
Mariane Secco · 1×

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

15 of 15 papers shown
# Work Indexed citations
1 5
2 11
3 3
4 2
5 24
6 27
7 25
8 12
9 63
10 59
11 35
12 67
13 80
14 56
15 293

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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