Giulia Orlando

1.6k citations
30 papers · 484 indexed · h-index 10

Impact in

    • Cancer Genomics and Diagnostics
    • Epigenetics and DNA Methylation
    • DNA Repair Mechanisms
    • RNA modifications and cancer
    • Genomics and Chromatin Dynamics
    • CRISPR and Genetic Engineering

Papers in

Giulia Orlando

27 papers receiving 479 citations

Peers

Giulia Orlando
Comparison fields: 5 of 67
  • Cancer Research 76
  • Molecular Biology 322
  • Oncology 121
  • Genetics 47
  • Hematology 32
Replace Jennifer A. Grabowsky with:
Jennifer A. Grabowsky United States
Juehui Liu United States
Yingfu Liu China
Dmitry S. Mikhaylenko Russia
Peter Houghton United States
Hiu Fung Yuen Singapore
Bastien Kaniewski France
Maksim Yezhelyev Germany
Emily K. Slotkin United States
Takuma Ishizaki Japan
Giulia Orlando relative to Jennifer A. Grabowsky United States Jennifer A. Grabowsky's profile →
Citations per field
00.5×1.5×1.8×
Jennifer A. Grabowsky · 1×
Citations per year

Countries citing papers authored by Giulia Orlando

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Orlando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20251
5 20250
6 20244
7 20237
8 202320
9 20232
10 20236
11 202216
12 201927
13 201842
14 201621
15 2015224
16 201326
17 201136
18 20062
19 19981
20
Hepatitis C virus infection in Italian kidney graft recipients. Changing risk factors and hepatitis C virus genotypes.
19973

About Giulia Orlando

Giulia Orlando is a scholar working on Hepatology, Transplantation, Oncology, Pathology and Forensic Medicine and Internal Medicine, having authored 30 papers that have together received 484 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Genomics and Chromatin Dynamics (4 papers), Hepatitis C virus research (4 papers), Hepatitis B Virus Studies (3 papers), Cancer-related Molecular Pathways (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Cancer Research (76 citations), Molecular Biology (322 citations), Oncology (121 citations), Genetics (47 citations) and Hematology (32 citations). Giulia Orlando has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Grigory L. Dianov, Anderson J. Ryan, Clare Verrill, Yanyan Jiang, Lykourgos‐Panagiotis Zalmas, Chen‐Chun Pai, Neele Drobnitzky, Valentine M. Macaulay, Vincenzo D’Angiolella and Songmin Ying. Their work appears in journals such as Journal of Hepatology, Nature Communications, Nature Genetics, The American Journal of Surgical Pathology and Blood Advances.

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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