Sergio Daga

3.0k citations
31 papers · 1.9k · 2 hit papers · h-index 17

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
  • Immunology top 10%
    • interferon and immune responses
    • Immune responses and vaccinations

Papers in

Sergio Daga

31 papers receiving 1.8k citations

Sergio Daga's Hit Papers

Whole-genome sequencing reveals host factors underlying critical COVID-19 2022 · 228 citations
2280+1+3Years since publication200400600

Peers

Sergio Daga
Comparison fields: 5 of 113
  • Infectious Diseases 884
  • Immunology 418
  • Immunology and Allergy 96
  • Neurology 196
  • Genetics 286
Replace Rossella Tita with:
Rossella Tita Italy
Margherita Baldassarri Italy
Hideya Kitamura Japan
Annarita Giliberti Italy
Susanna Croci Italy
Floriana Valentino Italy
Irene V. van Blokland Netherlands
Katia Capitani Italy
Sasha Carter United Kingdom
Rie Baba Japan
Sergio Daga relative to Rossella Tita Italy Rossella Tita's profile →
Citations per field
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Rossella Tita · 1×
Citations per year

Countries citing papers authored by Sergio Daga

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Daga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mapping the human genetic architecture of COVID-19
Hit paper breakdown →
2021641
2
Whole-genome sequencing reveals host factors underlying critical COVID-19
Hit paper breakdown →
2022228
3 2020199
4 2021167
5 2022107
6 202155
7 202149
8 201841
9 202239
10 202236
11 201934
12 202133
13 202132
14 202132
15 202231
16 202124
17 202119
18 201917
19 201716
20 202016

About Sergio Daga

Sergio Daga is a scholar working on Infectious Diseases, Immunology and Allergy, Immunology, Genetics and Oncology, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (8 papers), Cell Adhesion Molecules Research (7 papers), PARP inhibition in cancer therapy (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Renal and related cancers (3 papers), CRISPR and Genetic Engineering (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Infectious Diseases (884 citations), Immunology (418 citations), Immunology and Allergy (96 citations), Neurology (196 citations) and Genetics (286 citations). Sergio Daga has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Alessandra Renieri, Anna Maria Pinto, Maria Antonietta Mencarelli, Simone Furini, Chiara Fallerini, Elisa Frullanti, Katia Capitani, Elisa Benetti, Susanna Croci and Francesca Ariani. Their work appears in journals such as European Journal of Human Genetics, Nature, Journal of Hematology & Oncology, Clinical Journal of the American Society of Nephrology and Human Genetics.

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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