Marcella Faria

39 total papers · 718 total citations
25 papers, 557 citations indexed

About

Marcella Faria is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Marcella Faria has authored 25 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Genetics. Recurrent topics in Marcella Faria's work include RNA Interference and Gene Delivery (6 papers), DNA and Nucleic Acid Chemistry (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Marcella Faria is often cited by papers focused on RNA Interference and Gene Delivery (6 papers), DNA and Nucleic Acid Chemistry (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Marcella Faria collaborates with scholars based in Brazil, United Kingdom and France. Marcella Faria's co-authors include Michael White, Carine Giovannangeli, Henning Ulrich, Christopher D. Wood, Jeffrey S. Nelson, Andrew Winter, L. Perrouault, C. Hélène, Daniel Scherman and David G. Spiller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Biotechnology.

In The Last Decade

Marcella Faria

24 papers receiving 546 citations

Author Peers

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

Author Last Decade Papers Cites
Marcella Faria 452 56 52 32 29 25 557
Kengo Tsuda 589 1.3× 33 0.6× 27 0.5× 49 1.5× 20 0.7× 30 689
Philipp Wagner 522 1.2× 33 0.6× 50 1.0× 19 0.6× 23 0.8× 14 654
Junji Nakao 305 0.7× 37 0.7× 33 0.6× 42 1.3× 33 1.1× 24 505
Cécile Artaud 350 0.8× 93 1.7× 51 1.0× 17 0.5× 59 2.0× 19 580
Magali Richard 309 0.7× 110 2.0× 68 1.3× 34 1.1× 29 1.0× 29 566
Amélie Weiss 404 0.9× 58 1.0× 78 1.5× 11 0.3× 24 0.8× 18 670
Tahar Bouceba 313 0.7× 35 0.6× 32 0.6× 30 0.9× 12 0.4× 21 604
Xinqiang Li 293 0.6× 76 1.4× 42 0.8× 24 0.8× 28 1.0× 32 584
Anna L. Vestergaard 449 1.0× 48 0.9× 68 1.3× 19 0.6× 10 0.3× 16 698
Verena Bachmann 426 0.9× 99 1.8× 54 1.0× 54 1.7× 20 0.7× 17 680

Countries citing papers authored by Marcella Faria

Since Specialization
Citations

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

Fields of papers citing papers by Marcella Faria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcella Faria

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