Sabrina Ramelli

2.1k citations
9 papers · 64 · h-index 5

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • Immune Cell Function and Interaction 2
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
    • Asthma and respiratory diseases 2
    • Salivary Gland Disorders and Functions 1

Sabrina Ramelli

9 papers receiving 64 citations

Peers

Sabrina Ramelli
Comparison fields: 5 of 36
  • Infectious Diseases 23
  • Immunology 14
  • Obstetrics and Gynecology 3
  • Modeling and Simulation 2
  • Transplantation 1
Replace Tian Gong with:
Tian Gong China
Nicolas Robillard France
Luiz Gustavo Teixeira Alves Germany
Shumeng Luo Hong Kong
Luong Ruiz United States
Asher K. Haug Baltzell United States
Christian Deo T. Deguit Philippines
Céline Imhof Netherlands
Sergey Litvinov Russia
Shana L. McDevitt United States
Sabrina Ramelli relative to Tian Gong China Tian Gong's profile →
Citations per field
00.5×1.5×
Tian Gong · 1×
Citations per year

Countries citing papers authored by Sabrina Ramelli

Since Specialization
Citations

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

Fields of papers citing papers by Sabrina Ramelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sabrina Ramelli. 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 Sabrina Ramelli. The network helps show where Sabrina Ramelli may publish in the future.

Co-authors

The 25 scholars most cited alongside Sabrina Ramelli, 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 Sabrina Ramelli Line = papers co-authored together Sabrina Ramelli links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 202120
2 202020
3 20237
4 20215
5 20244
6 20233
7 20243
8 20251
9 20161

About Sabrina Ramelli

Sabrina Ramelli is a scholar working on Immunology, Physiology, Infectious Diseases, Microbiology and Surgery, having authored 9 papers that have together received 64 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (2 papers), COVID-19 Clinical Research Studies (2 papers), Asthma and respiratory diseases (2 papers), Immune Cell Function and Interaction (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), SARS-CoV-2 detection and testing (1 paper), Salivary Gland Disorders and Functions (1 paper) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Infectious Diseases (23 citations), Immunology (14 citations), Obstetrics and Gynecology (3 citations), Modeling and Simulation (2 citations) and Transplantation (1 citation). Sabrina Ramelli has collaborated with scholars based in United States, Puerto Rico and Saudi Arabia. Frequent co-authors include William T. Gerthoffer, Daniel S. Chertow, Jared M. McLendon, Robert A. Barrington, Andrew Ferretti, Brian S. Comer, Sydney Stein, Jason G. Fewell, Majed Matar and Marcos J. Ramos-Benítez. Their work appears in journals such as PLoS Pathogens, Advances in experimental medicine and biology, American Journal of Transplantation, The Journal of Infectious Diseases and mBio.

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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