Carlos Gonzalez‐Quesada
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology top 10%
- Surgery top 10%
- Oncology top 10%
- Immunology top 10%
- Co-authors
- Nikolaos G. FrangogiannisMarcin DobaczewskiMarcin BujakYing XiaNa LiXiao‐Fan WangLeonardo H. MendozaDong-Wook Lee
- Topics
- Cardiac Fibrosis and Remodeling (8 papers)Signaling Pathways in Disease (4 papers)Coronary Interventions and Diagnostics (3 papers)
- Partner nations
- United StatesMexicoBrazil
In The Last Decade
Carlos Gonzalez‐Quesada
17 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 96
- Cardiology and Cardiovascular Medicine 1.1k
- Molecular Biology 791
- Surgery 435
- Oncology 278
- Immunology 265
Countries citing papers authored by Carlos Gonzalez‐Quesada
This map shows the geographic impact of Carlos Gonzalez‐Quesada'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 Carlos Gonzalez‐Quesada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Gonzalez‐Quesada more than expected).
Fields of papers citing papers by Carlos Gonzalez‐Quesada
This network shows the impact of papers produced by Carlos Gonzalez‐Quesada. 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 Carlos Gonzalez‐Quesada. The network helps show where Carlos Gonzalez‐Quesada may publish in the future.
Co-authorship network of co-authors of Carlos Gonzalez‐Quesada
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Gonzalez‐Quesada. A scholar is included among the top collaborators of Carlos Gonzalez‐Quesada 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 Carlos Gonzalez‐Quesada. Carlos Gonzalez‐Quesada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 109 | |
| 3 | 17 | |
| 4 | 59 | |
| 5 | 78 | |
| 6 | 99 | |
| 7 | 111 | |
| 8 | 114 | |
| 9 | 239 | |
| 10 | 318 | |
| 11 | 61 | |
| 12 | 421 | |
| 13 | 103 | |
| 14 | Left main coronary artery stenosis treatment with two paclitaxel-eluting stents in a patient with cardiac allograft vasculopathy. | 1 |
| 15 | 7 | |
| 16 | 17 | |
| 17 | Predictors of mortality and adverse outcome in elderly high-risk patients undergoing percutaneous coronary intervention. | 7 |
About Carlos Gonzalez‐Quesada
Carlos Gonzalez‐Quesada is a scholar working on Cardiology and Cardiovascular Medicine, Immunology and Allergy and Oncology, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (8 papers), Signaling Pathways in Disease (4 papers) and Coronary Interventions and Diagnostics (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Immunology and Allergy (88 citations) and Immunology (265 citations). Carlos Gonzalez‐Quesada has collaborated with scholars based in United States, Mexico and Brazil. Frequent co-authors include Nikolaos G. Frangogiannis, Marcin Dobaczewski, Marcin Bujak, Ying Xia, Na Li, Xiao‐Fan Wang, Leonardo H. Mendoza, Dong-Wook Lee, Anna Biernacka and Michele Cavalera. Their work appears in journals such as Circulation Research, Hypertension and American Journal Of Pathology.
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.