Gustavo C. Ramos

1.0k citations
12 papers · 788 indexed · 1 hit paper · h-index 8
Topics
Cardiac Fibrosis and Remodeling (5 papers)Signaling Pathways in Disease (4 papers)Viral Infections and Immunology Research (2 papers)
Partner nations
GermanyBrazilPortugal

In The Last Decade

Gustavo C. Ramos

12 papers receiving 785 citations

Hit Papers

Foxp3+CD4+T Cells Improve Healing After Myocardial Infarc...20142026201820222014100200300400500

Peers

Gustavo C. Ramos
Comparison fields: 5 of 83
  • Cardiology and Cardiovascular Medicine 409
  • Molecular Biology 340
  • Immunology 293
  • Surgery 148
  • Oncology 62
Replace Andrew L. Koenig with:
Andrew L. Koenig United States
Jochen Pöling Germany
Michael J. Daseke United States
Bijun Chen United States
Presley L. Cannon United States
Shaofang Nie China
Marta Cedenilla Spain
Holger Lörchner Germany
Kassandra Weber United States
Sakine Simsekyilmaz Germany
Gustavo C. Ramos relative to Andrew L. Koenig United States Andrew L. Koenig's profile →
Citations per field
00.5×10×14.8×
Andrew L. Koenig · 1×
Citations per year

Countries citing papers authored by Gustavo C. Ramos

Since Specialization
Citations

This map shows the geographic impact of Gustavo C. Ramos'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 Gustavo C. Ramos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gustavo C. Ramos more than expected).

Fields of papers citing papers by Gustavo C. Ramos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gustavo C. Ramos. 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 Gustavo C. Ramos. The network helps show where Gustavo C. Ramos may publish in the future.

Co-authorship network of co-authors of Gustavo C. Ramos

This figure shows the co-authorship network connecting the top 25 collaborators of Gustavo C. Ramos. A scholar is included among the top collaborators of Gustavo C. Ramos 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 Gustavo C. Ramos. Gustavo C. Ramos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 2
3 13
4 137
5 2
6 34
7
Foxp3+CD4+T Cells Improve Healing After Myocardial Infarction by Modulating Monocyte/Macrophage Differentiationbreakdown →
543
8 15
9 10
10 16
11 5
12 10

About Gustavo C. Ramos

Gustavo C. Ramos is a scholar working on Cardiology and Cardiovascular Medicine, Immunology and Microbiology, having authored 12 papers that have together received 788 indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (5 papers), Signaling Pathways in Disease (4 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (409 citations), Immunology (293 citations) and Neurology (42 citations). Gustavo C. Ramos has collaborated with scholars based in Germany, Brazil and Portugal. Frequent co-authors include Stefan Frantz, Ulrich Hofmann, Thomas Kerkau, Johannes Weirather, Niklas Beyersdorf, Georg Ertl, Benjamin Vogel, Anna Frey, Vânia Silva and Katrin G. Heinze. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Circulation Research.

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.

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