Giulia Orlando

29 papers receiving 494 citations

Peers

Giulia Orlando
Comparison fields: 5 of 67
  • Cancer Research 69
  • Genetics 47
  • Molecular Biology 305
  • Oncology 111
  • Hematology 32
Replace Lanshan Huang with:
Lanshan Huang China
Akihiro Miura Japan
Steven M. Bair United States
Juehui Liu United States
Julie Madden United States
Nina Sausgruber Switzerland
Dat Nguyen United States
Xiao Lv China
Yingfu Liu China
Giulia Orlando relative to Lanshan Huang China Lanshan Huang's profile →
Citations per field
00.5×2.6×
Lanshan Huang · 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-authors

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

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

#Work
1 2015224
2 201843
3 201136
4 201928
5 201326
6 202325
7 201622
8 202219
9 201914
10 202213
11 20237
12 20237
13 20245
14 20185
15
Hepatitis C virus infection in Italian kidney graft recipients. Changing risk factors and hepatitis C virus genotypes.
19973
16 19983
17
Still's disease in a patient infected with human immunodeficiency virus type I.
19963
18 20252
19 20232
20 20062

About Giulia Orlando

Giulia Orlando is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 31 papers that have together received 500 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Hepatitis C virus research (4 papers), Genomics and Chromatin Dynamics (4 papers), Cancer-related Molecular Pathways (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Lymphoma Diagnosis and Treatment (3 papers), DNA Repair Mechanisms (2 papers) and Dermatologic Treatments and Research (2 papers). The work is most often cited by research in Cancer Research (69 citations), Genetics (47 citations), Molecular Biology (305 citations), Oncology (111 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, Timothy C. Humphrey, Chen‐Chun Pai, Yanyan Jiang, Nicholas B. La Thangue, Lykourgos‐Panagiotis Zalmas, Neele Drobnitzky, Valentine M. Macaulay, Songmin Ying and Anderson J. Ryan. Their work appears in journals such as Nature Communications, Endocrine Pathology, Journal of Hepatology, Journal of Histochemistry & Cytochemistry and Heart Failure Reviews.

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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