Lucilla D’Abundo

1.3k citations
21 papers · 813 · h-index 14

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Interference and Gene Delivery
    • Extracellular vesicles in disease

Papers in

    • Circular RNAs in diseases 5
    • RNA Interference and Gene Delivery 3
    • MicroRNA in disease regulation 11
    • Cancer-related molecular mechanisms research 6

Lucilla D’Abundo

20 papers receiving 801 citations

Peers

Lucilla D’Abundo
Comparison fields: 5 of 67
  • Cancer Research 536
  • Molecular Biology 595
  • Hepatology 56
  • Genetics 62
  • Immunology 105
Replace Beate Alinger with:
Beate Alinger Austria
Yingqiu Y. Liu United States
Hyung Seok Kim South Korea
Kiersten Marie Miles United States
Magali Castells France
Chuanhe Yang United States
Saki Paul India
Shaokun Shu China
Rachel V. Pearline United States
Lucilla D’Abundo relative to Beate Alinger Austria Beate Alinger's profile →
Citations per field
00.5×3.5×
Beate Alinger · 1×
Citations per year

Countries citing papers authored by Lucilla D’Abundo

Since Specialization
Citations

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

Fields of papers citing papers by Lucilla D’Abundo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012148
2 2014137
3 201875
4 201371
5 201351
6 201148
7 201345
8
Inhibiting the oncogenic mir-221 by microRNA sponge: toward microRNA-based therapeutics for hepatocellular carcinoma.
201445
9 201343
10 201436
11 201634
12 201524
13 201718
14 201816
15 20229
16 20235
17 20243
18 20122
19 20142
20 20231

About Lucilla D’Abundo

Lucilla D’Abundo is a scholar working on Molecular Biology, Cancer Research, Immunology, Genetics and Pathology and Forensic Medicine, having authored 21 papers that have together received 813 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (5 papers), Chronic Lymphocytic Leukemia Research (3 papers), Immune Cell Function and Interaction (3 papers), RNA Interference and Gene Delivery (3 papers), Cancer Mechanisms and Therapy (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Cancer Research (536 citations), Molecular Biology (595 citations), Hepatology (56 citations), Genetics (62 citations) and Immunology (105 citations). Lucilla D’Abundo has collaborated with scholars based in Italy, United States and Sudan. Frequent co-authors include Massimo Negrini, Elisa Callegari, Silvia Sabbioni, Laura Gramantieri, Laura Lupini, Cristian Bassi, Marco Domenicali, Barbara Zagatti, Fabio Corrà and Manuela Ferracin. Their work appears in journals such as Molecular Therapy — Nucleic Acids, Molecular Cancer, Proceedings of the National Academy of Sciences, Scientific Reports and Cell Death Discovery.

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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