Gabriel P. Lasala
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Genetics top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- José J. MinguellWilliam BachinskyJames H. RevkinSteven E. NissenJean‐Claude TardifCharles L. ShearWilliam DugganE. Murat Tuzcu
- Topics
- Mesenchymal stem cell research (11 papers)Angiogenesis and VEGF in Cancer (6 papers)Tissue Engineering and Regenerative Medicine (4 papers)
- Journals
- New England Journal of MedicineJournal of the American College of CardiologyJournal of Thoracic and Cardiovascular Surgery
- Partner nations
- United KingdomUnited StatesChile
In The Last Decade
Gabriel P. Lasala
14 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Surgery 690
- Endocrinology, Diabetes and Metabolism 388
- Molecular Biology 266
- Genetics 194
- Cardiology and Cardiovascular Medicine 184
Countries citing papers authored by Gabriel P. Lasala
This map shows the geographic impact of Gabriel P. Lasala'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 Gabriel P. Lasala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel P. Lasala more than expected).
Fields of papers citing papers by Gabriel P. Lasala
This network shows the impact of papers produced by Gabriel P. Lasala. 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 Gabriel P. Lasala. The network helps show where Gabriel P. Lasala may publish in the future.
Co-authorship network of co-authors of Gabriel P. Lasala
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel P. Lasala. A scholar is included among the top collaborators of Gabriel P. Lasala 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 Gabriel P. Lasala. Gabriel P. Lasala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 6 | |
| 3 | 41 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 57 | |
| 7 | 27 | |
| 8 | 41 | |
| 9 | Intracoronary infusion of a combination of bone marrow-derived stem cells in dogs. | 9 |
| 10 | 74 | |
| 11 | 27 | |
| 12 | Effect of Torcetrapib on the Progression of Coronary Atherosclerosisbreakdown → | 713 |
| 13 | 2 | |
| 14 | 19 |
About Gabriel P. Lasala
Gabriel P. Lasala is a scholar working on Genetics, Biomaterials and Surgery, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (11 papers), Angiogenesis and VEGF in Cancer (6 papers) and Tissue Engineering and Regenerative Medicine (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (388 citations), Genetics (194 citations) and Surgery (690 citations). Gabriel P. Lasala has collaborated with scholars based in United Kingdom, United States and Chile. Frequent co-authors include José J. Minguell, William Bachinsky, James H. Revkin, Steven E. Nissen, Jean‐Claude Tardif, Charles L. Shear, William Duggan, E. Murat Tuzcu, Witold Rużyłło and Stephen J. Nicholls. Their work appears in journals such as New England Journal of Medicine, Journal of the American College of Cardiology and Journal of Thoracic and Cardiovascular Surgery.
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.