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
- Bioinformatics and Genomic Networks
Papers in
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- RNA and protein synthesis mechanisms 2
- Glycosylation and Glycoproteins Research 1
- DNA and Nucleic Acid Chemistry 1
- Bioinformatics and Genomic Networks 1
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- Scientific Computing and Data Management 2
- Co-authors
- Modesto Orozco (4 shared papers)Josep Lluis Gelpí (5 shared papers)Pau Andrio (2 shared papers)Federica Battistini (2 shared papers)Pablo D. Dans (1 shared paper)Yolanda Becerra (1 shared paper)Jordi Torres (1 shared paper)Ramón Goñi (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Scientific Data (1 paper)Computer Science Review (1 paper)International Journal of Epidemiology (1 paper)Nature Methods (1 paper)
- Partner nations
- SpainGermanyUnited Kingdom
In The Last Decade
Laia Codó
6 papers receiving 150 citations
Peers
Comparison fields: 5 of 63
- Information Systems and Management 18
- Molecular Biology 102
- Geology 5
- Virology 3
- Building and Construction 8
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 | 64 | |
| 2 | 2019 | 43 | |
| 3 | 2019 | 19 | |
| 4 | 2015 | 18 | |
| 5 | 2023 | 6 | |
| 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 151 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (2 papers), RNA and protein synthesis mechanisms (2 papers), Glycosylation and Glycoproteins Research (1 paper), DNA and Nucleic Acid Chemistry (1 paper), Health and Medical Research Impacts (1 paper), Bioinformatics and Genomic Networks (1 paper), Meta-analysis and systematic reviews (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Information Systems and Management (18 citations), Molecular Biology (102 citations), Geology (5 citations), Virology (3 citations) and Building and Construction (8 citations). Laia Codó has collaborated with scholars based in Spain, Germany and United Kingdom. Frequent co-authors include Modesto Orozco, Josep Lluis Gelpí, Pau Andrio, Federica Battistini, Pablo D. Dans, Yolanda Becerra, Jordi Torres, Ramón Goñi, Rosa M. Badía and Stian Soiland‐Reyes. Their work appears in journals such as Nucleic Acids Research, Scientific Data, Computer Science Review, International Journal of Epidemiology and Nature Methods.
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.