Marcela N. Rosa

39 total papers · 621 total citations
27 papers, 463 citations indexed

About

Marcela N. Rosa is a scholar working on Molecular Biology, Oncology and Biochemistry. According to data from OpenAlex, Marcela N. Rosa has authored 27 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Biochemistry. Recurrent topics in Marcela N. Rosa's work include Bioactive Natural Diterpenoids Research (6 papers), Traditional and Medicinal Uses of Annonaceae (4 papers) and Natural product bioactivities and synthesis (4 papers). Marcela N. Rosa is often cited by papers focused on Bioactive Natural Diterpenoids Research (6 papers), Traditional and Medicinal Uses of Annonaceae (4 papers) and Natural product bioactivities and synthesis (4 papers). Marcela N. Rosa collaborates with scholars based in Brazil, Portugal and United Kingdom. Marcela N. Rosa's co-authors include Rui Manuel Reis, Viviane Aline Oliveira Silva, Adriane Feijó Evangelista, Adriana Cruvinel Carloni, Luciane Sussuchi da Silva, Olga Martinho, Luiz F. Pianowski, Renato José da Silva Oliveira, Benjamin Gilbert and Matias Eliseo Melendez and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Marcela N. Rosa

27 papers receiving 447 citations

Author Peers

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

Author Last Decade Papers Cites
Marcela N. Rosa 256 79 68 63 48 27 463
Wenbo Hao 229 0.9× 116 1.5× 21 0.3× 37 0.6× 30 0.6× 31 425
Jong Hwan Park 301 1.2× 27 0.3× 24 0.4× 20 0.3× 26 0.5× 21 485
Qianqian Di 295 1.2× 56 0.7× 26 0.4× 47 0.7× 30 0.6× 38 530
Pyung Keun Myung 330 1.3× 69 0.9× 26 0.4× 92 1.5× 34 0.7× 26 538
M. Kh. Levitman 112 0.4× 18 0.2× 47 0.7× 33 0.5× 27 0.6× 28 408
Hongbo Xu 269 1.1× 60 0.8× 47 0.7× 39 0.6× 16 0.3× 30 529
Silvia Caggia 206 0.8× 52 0.7× 32 0.5× 34 0.5× 65 1.4× 25 497
Atul Anand 198 0.8× 36 0.5× 65 1.0× 56 0.9× 43 0.9× 14 464
Qing Mao 264 1.0× 48 0.6× 10 0.1× 31 0.5× 88 1.8× 34 506
Werner G. Heim 176 0.7× 14 0.2× 25 0.4× 33 0.5× 46 1.0× 30 498

Countries citing papers authored by Marcela N. Rosa

Since Specialization
Citations

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

Fields of papers citing papers by Marcela N. Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcela N. Rosa. 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 Marcela N. Rosa. The network helps show where Marcela N. Rosa may publish in the future.

Co-authorship network of co-authors of Marcela N. Rosa

This figure shows the co-authorship network connecting the top 25 collaborators of Marcela N. Rosa. A scholar is included among the top collaborators of Marcela N. Rosa 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 Marcela N. Rosa. Marcela N. Rosa 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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