María G. Castro

20.1k citations
407 papers · 13.4k indexed · h-index 63
Topics
Virus-based gene therapy research (125 papers)RNA Interference and Gene Delivery (72 papers)Glioma Diagnosis and Treatment (64 papers)

In The Last Decade

María G. Castro

395 papers receiving 13.2k citations

Peers

María G. Castro
Comparison fields: 5 of 172
  • Molecular Biology 5.6k
  • Genetics 3.8k
  • Immunology 2.8k
  • Oncology 2.4k
  • Genetics 1.8k
Replace Pedro R. Löwenstein with:
Pedro R. Löwenstein United States
Calvin J. Kuo United States
Eckhard Wolf Germany
Ralf Kühn Germany
David Robertson Australia
Jun‐ichi Miyazaki Japan
Keiya Ozawa Japan
Michael Stadler Germany
Shelley L. Berger United States
Takehiko Sasaki Japan
María G. Castro relative to Pedro R. Löwenstein United States Pedro R. Löwenstein's profile →
Citations per field
00.5×1.6×
Pedro R. Löwenstein · 1×
Citations per year

Countries citing papers authored by María G. Castro

Since Specialization
Citations

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

Fields of papers citing papers by María G. Castro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María G. Castro. 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 María G. Castro. The network helps show where María G. Castro may publish in the future.

Co-authorship network of co-authors of María G. Castro

This figure shows the co-authorship network connecting the top 25 collaborators of María G. Castro. A scholar is included among the top collaborators of María G. Castro 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 María G. Castro. María G. Castro 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 2
2 14
3 16
4 38
5 19
6 17
7 29
8 51
9 38
10 38
11 28
12 61
13 30
14 62
15 80
16 37
17 16
18 3
19
The invasion of urban forest by dengue vectors in Rio de Janeiro.
62
20 57

About María G. Castro

María G. Castro is a scholar working on Behavioral Neuroscience, Genetics and Genetics, having authored 407 papers that have together received 13.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (125 papers), RNA Interference and Gene Delivery (72 papers) and Glioma Diagnosis and Treatment (64 papers). The work is most often cited by research in Genetics (1.8k citations), Genetics (3.8k citations) and Immunology (2.8k citations). María G. Castro has collaborated with scholars based in United States, United Kingdom and Argentina. Frequent co-authors include Pedro R. Löwenstein, Kurt M. Kroeger, James F. Curtin, Ricardo Lourenço‐de‐Oliveira, Marianela Candolfi, Gwendalyn D. King, Chunyan Liu, Marianela Candolfi, Clare E. Thomas and Mariana Puntel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

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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