Ciro Ramírez-Suástegui

3.6k citations
15 papers · 838 indexed · h-index 10

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • IL-33, ST2, and ILC Pathways
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 6
    • IL-33, ST2, and ILC Pathways 3
    • T-cell and B-cell Immunology 3

Ciro Ramírez-Suástegui

15 papers receiving 831 citations

Peers

Ciro Ramírez-Suástegui
Comparison fields: 5 of 81
  • Infectious Diseases 362
  • Immunology 367
  • Neurology 166
  • Immunology and Allergy 40
  • Modeling and Simulation 22
Replace Charlotte Viant with:
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Roberta Placido Italy
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Aurélie Wiedemann France
Ivana Lazarević Serbia
Danika L. Hill Australia
Bharath Sreekumar United States
Aisha Souquette United States
Yinghong Hu China
Nechama Sharon Israel
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Citations per field
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Citations per year

Countries citing papers authored by Ciro Ramírez-Suástegui

Since Specialization
Citations

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

Fields of papers citing papers by Ciro Ramírez-Suástegui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ciro Ramírez-Suástegui. 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 Ciro Ramírez-Suástegui. The network helps show where Ciro Ramírez-Suástegui may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ciro Ramírez-Suástegui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ciro Ramírez-Suástegui Line = papers co-authored together Ciro Ramírez-Suástegui links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20257
2 202415
3 202416
4 20245
5 20239
6 202316
7 202238
8 20222
9 2021149
10 202178
11 2020129
12 202015
13 2020336
14 201917
15 20176

About Ciro Ramírez-Suástegui

Ciro Ramírez-Suástegui is a scholar working on Immunology, Biophysics, Physiology, Oncology and Infectious Diseases, having authored 15 papers that have together received 838 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Asthma and respiratory diseases (4 papers), Single-cell and spatial transcriptomics (3 papers), CAR-T cell therapy research (3 papers), IL-33, ST2, and ILC Pathways (3 papers), T-cell and B-cell Immunology (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (362 citations), Immunology (367 citations), Neurology (166 citations), Immunology and Allergy (40 citations) and Modeling and Simulation (22 citations). Ciro Ramírez-Suástegui has collaborated with scholars based in United Kingdom, United States and Mexico. Frequent co-authors include Pandurangan Vijayanand, Grégory Seumois, Ferhat Ay, Serena Chee, Christian H. Ottensmeier, Hayley Simon, Alessandro Sette, Vicente Fajardo, Emanuela Pelosi and Anthony Kusnadi. Their work appears in journals such as Science Immunology, Nature Methods, The Journal of Immunology, Nature Immunology and Cell Reports.

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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2026