Elisabetta D’Aversa

636 citations
32 papers · 459 · h-index 15

Impact in

Papers in

Elisabetta D’Aversa

32 papers receiving 453 citations

Peers

Elisabetta D’Aversa
Comparison fields: 5 of 85
  • Genetics 57
  • Pediatrics, Perinatology and Child Health 94
  • Aging 8
  • Hematology 39
  • Cancer Research 46
Replace Mehdi Sahmani with:
Mehdi Sahmani Iran
Vid Mlakar Slovenia
Margit Horányi Hungary
Neeraj Sharma United States
Rex Devasahayam Arokia Balaya India
Jun‐Kai Kao Taiwan
Tatiana Abramova United States
Long-Jun Gu China
Yu‐Hsin Tseng Taiwan
Federica De Majo Netherlands
Elisabetta D’Aversa relative to Mehdi Sahmani Iran Mehdi Sahmani's profile →
Citations per field
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Mehdi Sahmani · 1×
Citations per year

Countries citing papers authored by Elisabetta D’Aversa

Since Specialization
Citations

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

Fields of papers citing papers by Elisabetta D’Aversa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elisabetta D’Aversa. 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 Elisabetta D’Aversa. The network helps show where Elisabetta D’Aversa may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201955
2 202140
3 201833
4 201727
5 201925
6 202023
7 202122
8 202221
9 202219
10 202118
11 201818
12 202017
13 202315
14 201815
15 201915
16 202314
17 201912
18 202112
19 201711
20 20238

About Elisabetta D’Aversa

Elisabetta D’Aversa is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Immunology, Genetics and Genetics, having authored 32 papers that have together received 459 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (7 papers), Hemoglobinopathies and Related Disorders (5 papers), Blood disorders and treatments (4 papers), RNA modifications and cancer (4 papers), Antimicrobial Peptides and Activities (3 papers), Iron Metabolism and Disorders (3 papers), Parvovirus B19 Infection Studies (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Genetics (57 citations), Pediatrics, Perinatology and Child Health (94 citations), Aging (8 citations), Hematology (39 citations) and Cancer Research (46 citations). Elisabetta D’Aversa has collaborated with scholars based in Italy, Germany and Greece. Frequent co-authors include Monica Borgatti, Giulia Breveglieri, Roberto Gambari, Alessia Finotti, Jessica Gasparello, Patrizia Pellegatti, Giovanni Guerra, Chiara Papi, Francesca Salvatori and Lucia Carmela Cosenza. Their work appears in journals such as International Journal of Molecular Sciences, Blood, Molecular Medicine, Sensors and Actuators B Chemical and Scientific 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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