Ángela Macia
Impact in
- Plant Science top 5%
- Chromosomal and Genetic Variations
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- Advanced biosensing and bioanalysis techniques
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
Papers in
-
- CRISPR and Genetic Engineering 8
- Advanced biosensing and bioanalysis techniques 6
-
- Chromosomal and Genetic Variations 10
- Co-authors
- Alysson R. Muotri (7 shared papers)José L. García-Pérez (9 shared papers)John V. Moran (3 shared papers)Martín Muñoz-López (5 shared papers)Pinar Mesci (3 shared papers)Leon Tejwani (2 shared papers)Roberto H. Herai (2 shared papers)Charles A. Thomas (1 shared paper)
- Journals
- Human Molecular Genetics (2 papers)Proceedings of the National Academy of Sciences (1 paper)Developmental Neurobiology (1 paper)PLoS Biology (1 paper)Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms (1 paper)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Ángela Macia
14 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 78
- Plant Science 613
- Molecular Biology 880
- Genetics 205
- Aging 11
- Immunology 131
Countries citing papers authored by Ángela Macia
This map shows the geographic impact of Ángela Macia'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 Ángela Macia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ángela Macia more than expected).
Fields of papers citing papers by Ángela Macia
This network shows the impact of papers produced by Ángela Macia. 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 Ángela Macia. The network helps show where Ángela Macia may publish in the future.
Co-authors
The 25 scholars most cited alongside Ángela Macia, 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 | 2017 | 226 | |
| 2 | 2011 | 174 | |
| 3 | 2011 | 111 | |
| 4 | 2010 | 110 | |
| 5 | 2016 | 109 | |
| 6 | 2019 | 99 | |
| 7 | 2019 | 85 | |
| 8 | 2017 | 55 | |
| 9 | 2017 | 47 | |
| 10 | 2016 | 46 | |
| 11 | 2022 | 41 | |
| 12 | 2014 | 16 | |
| 13 | 2011 | 11 | |
| 14 | 2012 | 10 |
About Ángela Macia
Ángela Macia is a scholar working on Molecular Biology, Plant Science, Infectious Diseases, Neurology and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (10 papers), CRISPR and Genetic Engineering (8 papers), Advanced biosensing and bioanalysis techniques (6 papers), interferon and immune responses (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Long-Term Effects of COVID-19 (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Plant Science (613 citations), Molecular Biology (880 citations), Genetics (205 citations), Aging (11 citations) and Immunology (131 citations). Ángela Macia has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Alysson R. Muotri, José L. García-Pérez, John V. Moran, Martín Muñoz-López, Pinar Mesci, Leon Tejwani, Roberto H. Herai, Charles A. Thomas, Priscilla D. Negraes and Cleber A. Trujillo. Their work appears in journals such as Human Molecular Genetics, Proceedings of the National Academy of Sciences, Developmental Neurobiology, PLoS Biology and Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms.
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.