Gustavo A. Miranda

1.3k citations
10 papers · 1.0k indexed · h-index 9
Topics
T-cell and B-cell Immunology (3 papers)Cytokine Signaling Pathways and Interactions (3 papers)Immune Response and Inflammation (2 papers)
Partner nations
United StatesJapanMexico

In The Last Decade

Gustavo A. Miranda

10 papers receiving 1.0k citations

Peers

Gustavo A. Miranda
Comparison fields: 5 of 79
  • Immunology 711
  • Molecular Biology 336
  • Oncology 151
  • Epidemiology 145
  • Infectious Diseases 106
Replace Isabelle Miconnet with:
Isabelle Miconnet France
Yoshitsugu Kojima Japan
Renu Dudani Canada
Mathieu Houde Canada
John S. Cowdery United States
Janice White United States
Alexandra Vallon-Eberhard Israel
C Bona United States
Søren Bregenholt Denmark
David J. Zammit United States
Gustavo A. Miranda relative to Isabelle Miconnet France Isabelle Miconnet's profile →
Citations per field
00.5×1.5×
Isabelle Miconnet · 1×
Citations per year

Countries citing papers authored by Gustavo A. Miranda

Since Specialization
Citations

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

Fields of papers citing papers by Gustavo A. Miranda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gustavo A. Miranda

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 2
2 414
3 340
4 61
5 18
6
alpha-Fetoprotein-specific tumor immunity induced by plasmid prime-adenovirus boost genetic vaccination.
88
7
CD40 cross-linking bypasses the absolute requirement for CD4 T cells during immunization with melanoma antigen gene-modified dendritic cells.
35
8 38
9 15
10 33

About Gustavo A. Miranda

Gustavo A. Miranda is a scholar working on Developmental Biology, Immunology and Oncology, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (711 citations), Microbiology (59 citations) and Endocrinology (46 citations). Gustavo A. Miranda has collaborated with scholars based in United States, Japan and Mexico. Frequent co-authors include Timothy F. Lane, Genhong Cheng, Sagar A. Vaidya, Ryan M. O’Connell, Brian Zarnegar, Supriya K. Saha, Tadatsugu Taniguchi, Kevin W. Bruhn, Jeff F. Miller and Philip T. Liu. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Immunology.

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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