Sara Amitrano

2.8k citations
25 papers · 1.7k · 2 hit papers · h-index 16

Impact in

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

Papers in

    • SARS-CoV-2 and COVID-19 Research 11
    • COVID-19 Clinical Research Studies 6
    • PARP inhibition in cancer therapy 5

Sara Amitrano

23 papers receiving 1.7k citations

Sara Amitrano's Hit Papers

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

Peers

Sara Amitrano
Comparison fields: 5 of 112
  • Infectious Diseases 888
  • Immunology 414
  • Neurology 203
  • Genetics 241
  • Modeling and Simulation 38
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Sara Amitrano

Since Specialization
Citations

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

Fields of papers citing papers by Sara Amitrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 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 202247
9 201536
10 202132
11 202132
12 202124
13 202023
14 201922
15 202119
16 202016
17 202114
18 202111
19 20129
20 20225

About Sara Amitrano

Sara Amitrano is a scholar working on Infectious Diseases, Oncology, Immunology, Genetics and Epidemiology, having authored 25 papers that have together received 1.7k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (6 papers), PARP inhibition in cancer therapy (5 papers), Respiratory viral infections research (2 papers), Genomics and Rare Diseases (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), interferon and immune responses (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Infectious Diseases (888 citations), Immunology (414 citations), Neurology (203 citations), Genetics (241 citations) and Modeling and Simulation (38 citations). Sara Amitrano has collaborated with scholars based in Italy, United Kingdom and Canada. Frequent co-authors include Alessandra Renieri, Ilaria Meloni, Francesca Mari, Francesca Ariani, Chiara F. Di Marco, Caterina Lo Rizzo, Vincent Mooser, Daniela Galimberti, Francesco Cetta and Tomoko MAKINO NAKANISHI. Their work appears in journals such as Nature, European Journal of Human Genetics, Human Genetics, PLoS ONE and EBioMedicine.

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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