Lucilla D’Abundo

1.4k citations
21 papers · 844 · 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 3
    • RNA Research and Splicing 2
    • MicroRNA in disease regulation 9
    • Cancer-related molecular mechanisms research 4

Lucilla D’Abundo

21 papers receiving 832 citations

Peers

Lucilla D’Abundo
Comparison fields: 5 of 65
  • Cancer Research 499
  • Molecular Biology 549
  • Hepatology 50
  • Genetics 60
  • Immunology 94
Replace Beate Alinger with:
Beate Alinger Austria
Kenji Tatsuno Japan
Yingqiu Y. Liu United States
Sylvia Streit Germany
Magali Castells France
David Brocks Germany
Kazuma Sakuraba Japan
Yuanzhi Lu China
Roxana Azimi United States
Leyre Larzábal Spain
Lucilla D’Abundo relative to Beate Alinger Austria Beate Alinger's profile →
Citations per field
00.5×3.6×
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 2012155
2 2014139
3 201881
4 201373
5 201352
6 201149
7
Inhibiting the oncogenic mir-221 by microRNA sponge: toward microRNA-based therapeutics for hepatocellular carcinoma.
201446
8 201345
9 201343
10 201437
11 201636
12 201525
13 201720
14 201817
15 202210
16 20236
17 20244
18 20122
19 20142
20 20261

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 844 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (4 papers), Cancer Mechanisms and Therapy (3 papers), Circular RNAs in diseases (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Immune Cell Function and Interaction (3 papers), Galectins and Cancer Biology (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (499 citations), Molecular Biology (549 citations), Hepatology (50 citations), Genetics (60 citations) and Immunology (94 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, Manuela Ferracin and Fabio Corrà. Their work appears in journals such as Molecular Therapy — Nucleic Acids, Molecular Cancer, Cell Death Discovery, Cell Death and Differentiation and Frontiers in Genetics.

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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