Laia Codó
Impact in
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- Scientific Computing and Data Management
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- DNA and Nucleic Acid Chemistry
- Genomics and Chromatin Dynamics
- Advanced biosensing and bioanalysis techniques
- CRISPR and Genetic Engineering
Papers in ⓘ
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- RNA and protein synthesis mechanisms 2
- Genomics and Chromatin Dynamics 1
- RNA modifications and cancer 1
- Bioinformatics and Genomic Networks 1
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- Scientific Computing and Data Management 2
- Co-authors
- Josep Lluís Gelpí (5 shared papers)Modesto Orozco (4 shared papers)Pau Andrio (2 shared papers)Federica Battistini (2 shared papers)Pablo D. Dans (1 shared paper)Ramón Goñi (1 shared paper)Yolanda Becerra (1 shared paper)Jordi Torres (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Nature Methods (1 paper)Scientific Data (1 paper)International Journal of Epidemiology (1 paper)Computer Science Review (1 paper)
- Partner nations
- SpainUnited KingdomGermany
In The Last Decade
Laia Codó
6 papers receiving 139 citations
Peers
Comparison fields: 5 of 63
- Information Systems and Management 18
- Molecular Biology 99
- Geology 5
- Building and Construction 7
- Ecology 12
Countries citing papers authored by Laia Codó
This map shows the geographic impact of Laia Codó'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 Laia Codó with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laia Codó more than expected).
Fields of papers citing papers by Laia Codó
This network shows the impact of papers produced by Laia Codó. 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 Laia Codó. The network helps show where Laia Codó may publish in the future.
Co-authors
The 25 scholars most cited alongside Laia Codó, 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 | 2015 | 60 | |
| 2 | 2019 | 39 | |
| 3 | 2019 | 18 | |
| 4 | 2015 | 17 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 1 |
About Laia Codó
Laia Codó is a scholar working on Molecular Biology, Information Systems and Management, Computer Networks and Communications, Information Systems and Ecology, having authored 6 papers that have together received 140 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (2 papers), Scientific Computing and Data Management (2 papers), Bacteriophages and microbial interactions (1 paper), Transgenic Plants and Applications (1 paper), Genomics and Chromatin Dynamics (1 paper), Health and Medical Research Impacts (1 paper), RNA modifications and cancer (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Information Systems and Management (18 citations), Molecular Biology (99 citations), Geology (5 citations), Building and Construction (7 citations) and Ecology (12 citations). Laia Codó has collaborated with scholars based in Spain, United Kingdom and Germany. Frequent co-authors include Josep Lluís Gelpí, Modesto Orozco, Pau Andrio, Federica Battistini, Pablo D. Dans, Ramón Goñi, Yolanda Becerra, Jordi Torres, Javier Conejero and Carole Goble. Their work appears in journals such as Nucleic Acids Research, Nature Methods, Scientific Data, International Journal of Epidemiology and Computer Science Review.
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.