Concepción Laviades
- Cardiology and Cardiovascular Medicine top 5%
- Cancer Research top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Surgery
- Co-authors
- Javier Dı́ezNerea VaroMarı́a J. GilIgnacío MonrealGaspar MayorArantxa GonzálezBegoña LópezJavier Fernández
- Topics
- Cardiac Fibrosis and Remodeling (2 papers)Growth Hormone and Insulin-like Growth Factors (2 papers)Connective Tissue Growth Factor Research (2 papers)
- Cited by
- Cardiology and Cardiovascular MedicineCancer ResearchEndocrinology, Diabetes and Metabolism
- Partner nations
- SpainColombiaUnited States
In The Last Decade
Concepción Laviades
10 papers receiving 793 citations
Peers
Comparison fields: 5 of 67
- Cardiology and Cardiovascular Medicine 586
- Cancer Research 164
- Endocrinology, Diabetes and Metabolism 155
- Molecular Biology 132
- Surgery 115
Countries citing papers authored by Concepción Laviades
This map shows the geographic impact of Concepción Laviades'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 Concepción Laviades with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Concepción Laviades more than expected).
Fields of papers citing papers by Concepción Laviades
This network shows the impact of papers produced by Concepción Laviades. 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 Concepción Laviades. The network helps show where Concepción Laviades may publish in the future.
Co-authorship network of co-authors of Concepción Laviades
This figure shows the co-authorship network connecting the top 25 collaborators of Concepción Laviades. A scholar is included among the top collaborators of Concepción Laviades 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 Concepción Laviades. Concepción Laviades is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 25 | |
| 3 | 36 | |
| 4 | 142 | |
| 5 | 105 | |
| 6 | Diagnóstico bioquímico de la fibrosis miocárdica hipertensiva | 5 |
| 7 | 10 | |
| 8 | 250 | |
| 9 | 10 | |
| 10 | 186 |
About Concepción Laviades
Concepción Laviades is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 814 indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Connective Tissue Growth Factor Research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (586 citations), Cancer Research (164 citations) and Endocrinology, Diabetes and Metabolism (155 citations). Concepción Laviades has collaborated with scholars based in Spain, Colombia and United States. Frequent co-authors include Javier Dı́ez, Nerea Varo, Marı́a J. Gil, Ignacío Monreal, Gaspar Mayor, Arantxa González, Begoña López, Javier Fernández, Ramón Querejeta and Nerea Hermida. Their work appears in journals such as Circulation, Kidney International and Hypertension.
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.