Sónia Carneiro
- Co-authors
- Isabel RochaEugénio C. FerreiraSilas G. Villas‐BôasXavier DuportetMiguel RochaAnália LourençoJames DaniellTing-Li Han
- Topics
- Microbial Metabolic Engineering and Bioproduction (13 papers)Biomedical Text Mining and Ontologies (7 papers)Viral Infectious Diseases and Gene Expression in Insects (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsBMC Bioinformatics
- Partner nations
- PortugalNew ZealandSpain
In The Last Decade
Sónia Carneiro
26 papers receiving 386 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 309
- Biomedical Engineering 64
- Genetics 56
- Ecology 46
- Spectroscopy 33
Countries citing papers authored by Sónia Carneiro
This map shows the geographic impact of Sónia Carneiro'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 Sónia Carneiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sónia Carneiro more than expected).
Fields of papers citing papers by Sónia Carneiro
This network shows the impact of papers produced by Sónia Carneiro. 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 Sónia Carneiro. The network helps show where Sónia Carneiro may publish in the future.
Co-authorship network of co-authors of Sónia Carneiro
This figure shows the co-authorship network connecting the top 25 collaborators of Sónia Carneiro. A scholar is included among the top collaborators of Sónia Carneiro 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 Sónia Carneiro. Sónia Carneiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 54 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | Footprinting microbial metabolites in nature and medicine | 0 |
| 7 | 68 | |
| 8 | 8 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | 30 | |
| 12 | 4 | |
| 13 | 8 | |
| 14 | 24 | |
| 15 | 12 | |
| 16 | A tool for the automatic and manual annotation of biomedical documents | 1 |
| 17 | 14 | |
| 18 | 4 | |
| 19 | Image analysis as a tool for viability and recombinant protein production assessment during E. coli fermentations | 1 |
| 20 | 1 |
About Sónia Carneiro
Sónia Carneiro is a scholar working on Molecular Biology, Biophysics and Genetics, having authored 27 papers that have together received 392 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (13 papers), Biomedical Text Mining and Ontologies (7 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). The work is most often cited by research in Molecular Biology (309 citations), Biotechnology (19 citations) and Genetics (56 citations). Sónia Carneiro has collaborated with scholars based in Portugal, New Zealand and Spain. Frequent co-authors include Isabel Rocha, Eugénio C. Ferreira, Silas G. Villas‐Bôas, Xavier Duportet, Miguel Rocha, Anália Lourenço, James Daniell, Ting-Li Han, Farhana R. Pinu and Jens Nielsen. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and BMC Bioinformatics.
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.