Lidia González‐Quereda
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Cellular and Molecular Neuroscience
- Genetics top 10%
- Physiology
- Co-authors
- P. GallanoEduard GallardoA. NascimentoMaria José RodríguezIsabel IllaJonàs Juan‐MateuEdgard VerduraMontserrat Baiget
- Topics
- Muscle Physiology and Disorders (22 papers)Cardiomyopathy and Myosin Studies (10 papers)Neurogenetic and Muscular Disorders Research (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Lidia González‐Quereda
32 papers receiving 530 citations
Peers
Comparison fields: 5 of 56
- Molecular Biology 476
- Cardiology and Cardiovascular Medicine 156
- Cellular and Molecular Neuroscience 119
- Genetics 109
- Physiology 78
Countries citing papers authored by Lidia González‐Quereda
This map shows the geographic impact of Lidia González‐Quereda'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 Lidia González‐Quereda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lidia González‐Quereda more than expected).
Fields of papers citing papers by Lidia González‐Quereda
This network shows the impact of papers produced by Lidia González‐Quereda. 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 Lidia González‐Quereda. The network helps show where Lidia González‐Quereda may publish in the future.
Co-authorship network of co-authors of Lidia González‐Quereda
This figure shows the co-authorship network connecting the top 25 collaborators of Lidia González‐Quereda. A scholar is included among the top collaborators of Lidia González‐Quereda 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 Lidia González‐Quereda. Lidia González‐Quereda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 13 | |
| 10 | 9 | |
| 11 | 7 | |
| 12 | 15 | |
| 13 | 7 | |
| 14 | 24 | |
| 15 | 109 | |
| 16 | 35 | |
| 17 | 4 | |
| 18 | 15 | |
| 19 | 42 | |
| 20 | 59 |
About Lidia González‐Quereda
Lidia González‐Quereda is a scholar working on Genetics, Cell Biology and Cardiology and Cardiovascular Medicine, having authored 35 papers that have together received 540 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (22 papers), Cardiomyopathy and Myosin Studies (10 papers) and Neurogenetic and Muscular Disorders Research (7 papers). The work is most often cited by research in Genetics (109 citations), Molecular Biology (476 citations) and Cardiology and Cardiovascular Medicine (156 citations). Lidia González‐Quereda has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include P. Gallano, Eduard Gallardo, A. Nascimento, Maria José Rodríguez, Isabel Illa, Jonàs Juan‐Mateu, Edgard Verdura, Montserrat Baiget, C. Ortez and Noemí de Luna. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.