María G. Castro
- Genetics top 0.2%
- Virus-based gene therapy research 125
- Glioma Diagnosis and Treatment 64
- Genetics top 0.2%
- Virus-based gene therapy research 125
- Glioma Diagnosis and Treatment 64
- Immunology top 0.5%
- Immunotherapy and Immune Responses 52
- Immune cells in cancer 28
- Behavioral Neuroscience top 1%
- Stress Responses and Cortisol 25
- Oncology top 1%
- CAR-T cell therapy research 49
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- RNA Interference and Gene Delivery 72
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- Mosquito-borne diseases and control 26
- Co-authors
- Pedro R. LöwensteinKurt M. KroegerJames F. CurtinRicardo Lourenço‐de‐OliveiraMarianela CandolfiGwendalyn D. KingChunyan LiuClare E. Thomas
- Cited by
- GeneticsImmunology
- Journals
- Proceedings of the National Academy of Sciences (7 papers)Journal of Biological Chemistry (1 paper)Circulation (2 papers)
- Partner nations
- United StatesUnited KingdomArgentina
In The Last Decade
María G. Castro
395 papers receiving 13.2k citations
Peers
Comparison fields: 5 of 172
- Genetics 1.8k
- Genetics 3.8k
- Immunology 2.8k
- Behavioral Neuroscience 343
- Oncology 2.4k
Countries citing papers authored by María G. Castro
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
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
The 25 scholars most cited alongside María G. Castro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 14 | |
| 3 | 2022 | 16 | |
| 4 | 2020 | 38 | |
| 5 | 2020 | 19 | |
| 6 | 2020 | 17 | |
| 7 | 2020 | 29 | |
| 8 | 2020 | 51 | |
| 9 | 2016 | 38 | |
| 10 | 2014 | 38 | |
| 11 | 2014 | 28 | |
| 12 | 2014 | 61 | |
| 13 | 2011 | 30 | |
| 14 | 2011 | 62 | |
| 15 | 2009 | 80 | |
| 16 | 2009 | 37 | |
| 17 | 2006 | 16 | |
| 18 | 2005 | 3 | |
| 19 | The invasion of urban forest by dengue vectors in Rio de Janeiro. | 2004 | 62 |
| 20 | 2000 | 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), Glioma Diagnosis and Treatment (64 papers), Immunotherapy and Immune Responses (52 papers), CAR-T cell therapy research (49 papers), Immune cells in cancer (28 papers), Mosquito-borne diseases and control (26 papers) and Stress Responses and Cortisol (25 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.