Laia Cubells
Impact in
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
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- Protease and Inhibitor Mechanisms
Papers in
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- S100 Proteins and Annexins 4
- Ion channel regulation and function 2
- Protein Kinase Regulation and GTPase Signaling 2
- RNA and protein synthesis mechanisms 2
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- Lipid metabolism and disorders 3
- Co-authors
- Francesc Tebar (5 shared papers)Thomas Grewal (5 shared papers)Carlos Enrich (5 shared papers)Albert Pol (5 shared papers)Sandra Vilà de Muga (4 shared papers)Carles Rentero (3 shared papers)Peta Wood (2 shared papers)Roger J. Daly (2 shared papers)
- Journals
- Oncogene (2 papers)Traffic (1 paper)Atherosclerosis (1 paper)Journal of Biological Chemistry (1 paper)Value in Health (1 paper)
- Partner nations
- SpainAustraliaUnited States
In The Last Decade
Laia Cubells
14 papers receiving 421 citations
Peers
Comparison fields: 5 of 54
- Immunology and Allergy 38
- Cancer Research 82
- Molecular Biology 345
- Cell Biology 59
- Neurology 34
Countries citing papers authored by Laia Cubells
This map shows the geographic impact of Laia Cubells'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 Cubells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laia Cubells more than expected).
Fields of papers citing papers by Laia Cubells
This network shows the impact of papers produced by Laia Cubells. 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 Cubells. The network helps show where Laia Cubells may publish in the future.
Co-authors
The 25 scholars most cited alongside Laia Cubells, 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 | 2007 | 100 | |
| 2 | 2005 | 81 | |
| 3 | 2008 | 66 | |
| 4 | 2008 | 46 | |
| 5 | 2009 | 35 | |
| 6 | 2005 | 34 | |
| 7 | 2013 | 25 | |
| 8 | 2023 | 7 | |
| 9 | 2014 | 7 | |
| 10 | 2014 | 6 | |
| 11 | 2013 | 6 | |
| 12 | 2014 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2021 | 1 |
About Laia Cubells
Laia Cubells is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Cell Biology and Cancer Research, having authored 14 papers that have together received 421 indexed citations. Recurring topics across this work include S100 Proteins and Annexins (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Lipid metabolism and disorders (3 papers), Ion channel regulation and function (2 papers), Caveolin-1 and cellular processes (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), RNA and protein synthesis mechanisms (2 papers) and Vitamin K Research Studies (1 paper). The work is most often cited by research in Immunology and Allergy (38 citations), Cancer Research (82 citations), Molecular Biology (345 citations), Cell Biology (59 citations) and Neurology (34 citations). Laia Cubells has collaborated with scholars based in Spain, Australia and United States. Frequent co-authors include Francesc Tebar, Thomas Grewal, Carlos Enrich, Albert Pol, Sandra Vilà de Muga, Carles Rentero, Peta Wood, Roger J. Daly, Mercedes Ingelmo‐Torres and Marı́a Calvo. Their work appears in journals such as Oncogene, Traffic, Atherosclerosis, Journal of Biological Chemistry and Value in Health.
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.