Marxa L. Figueiredo

1.4k citations
67 papers · 1.1k indexed · h-index 21
Topics
Virus-based gene therapy research (21 papers)RNA Interference and Gene Delivery (11 papers)Cancer-related Molecular Pathways (8 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaNature Biotechnology

In The Last Decade

Marxa L. Figueiredo

65 papers receiving 1.1k citations

Peers

Marxa L. Figueiredo
Comparison fields: 5 of 107
  • Molecular Biology 584
  • Oncology 290
  • Genetics 213
  • Immunology 155
  • Biomedical Engineering 148
Replace Hideaki Sumiyoshi with:
Hideaki Sumiyoshi Japan
Kaoru Segawa Japan
Thomas Lind Sweden
Matthias Van Woensel Belgium
Nobutomo Miwa Japan
Sylvie Brassart‐Pasco France
Yanan Chen China
Ivy Tran United States
Yunong Wu China
Dengqun Liu China
Marxa L. Figueiredo relative to Hideaki Sumiyoshi Japan Hideaki Sumiyoshi's profile →
Citations per field
00.5×3.1×
Hideaki Sumiyoshi · 1×
Citations per year

Countries citing papers authored by Marxa L. Figueiredo

Since Specialization
Citations

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

Fields of papers citing papers by Marxa L. Figueiredo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marxa L. Figueiredo. 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 Marxa L. Figueiredo. The network helps show where Marxa L. Figueiredo may publish in the future.

Co-authorship network of co-authors of Marxa L. Figueiredo

This figure shows the co-authorship network connecting the top 25 collaborators of Marxa L. Figueiredo. A scholar is included among the top collaborators of Marxa L. Figueiredo 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 Marxa L. Figueiredo. Marxa L. Figueiredo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 1
4 4
5 28
6 22
7 66
8 20
9 3
10 15
11 14
12 22
13 56
14 11
15 54
16 10
17 16
18 18
19 7
20 25

About Marxa L. Figueiredo

Marxa L. Figueiredo is a scholar working on Oncology, Sensory Systems and Genetics, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (21 papers), RNA Interference and Gene Delivery (11 papers) and Cancer-related Molecular Pathways (8 papers). The work is most often cited by research in Genetics (132 citations), Oncology (290 citations) and Sensory Systems (48 citations). Marxa L. Figueiredo has collaborated with scholars based in United States, Brazil and France. Frequent co-authors include Olga Zolochevska, Lily Wu, Breanne D.W. Karanikolas, Joseph J. Shearer, Todd Emrick, Rinat O. Esenaliev, Virgínia Picanço‐Castro, Jeffrey M. Gimble, Aglaia Athanassiadou and Henrique Cheng. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Nature Biotechnology.

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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