Giulia Unali

495 citations
6 papers · 219 · h-index 4

Impact in

Papers in

    • CRISPR and Genetic Engineering 4
    • Retinoids in leukemia and cellular processes 1
    • RNA regulation and disease 1
    • RNA Interference and Gene Delivery 1
    • Virus-based gene therapy research 5

Giulia Unali

5 papers receiving 219 citations

Peers

Giulia Unali
Comparison fields: 5 of 35
  • Genetics 132
  • Business and International Management 6
  • Molecular Biology 167
  • Oncology 63
  • Genetics 20
Replace Carolina Petrillo with:
Carolina Petrillo Italy
Kerstin Schwarzwaelder Germany
Jinhua Bayford United Kingdom
Camille Sindhu United States
Diego León‐Rico Spain
Sowmya Reddy United States
Annette Deichmann Germany
Claire Drysdale United States
Aphrodite Georgakopoulou United States
L. Patrick Havlik United States
Giulia Unali relative to Carolina Petrillo Italy Carolina Petrillo's profile →
Citations per field
00.5×1.5×1.9×
Carolina Petrillo · 1×
Citations per year

Countries citing papers authored by Giulia Unali

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Unali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2020108
2 201879
3 202025
4 20236
5 20251
6 20250

About Giulia Unali

Giulia Unali is a scholar working on Molecular Biology, Genetics, Epidemiology, Cardiology and Cardiovascular Medicine and Oncology, having authored 6 papers that have together received 219 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), CRISPR and Genetic Engineering (4 papers), Cytomegalovirus and herpesvirus research (3 papers), CAR-T cell therapy research (1 paper), Retinoids in leukemia and cellular processes (1 paper), Viral Infections and Immunology Research (1 paper), RNA regulation and disease (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Genetics (132 citations), Business and International Management (6 citations), Molecular Biology (167 citations), Oncology (63 citations) and Genetics (20 citations). Giulia Unali has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Anna Kajaste‐Rudnitski, Luigi Naldini, Pietro Genovese, Samuele Ferrari, Dejan Lazarević, Federica Cugnata, Davide Cittaro, Stefano Beretta, Aurélien Jacob and Chiara Brombin. Their work appears in journals such as Molecular Therapy, Cell stem cell, Molecular Therapy — Methods & Clinical Development, Nature Biotechnology and Vaccines.

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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