Devis Pascut

792 citations
35 papers · 599 · h-index 16

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Devis Pascut

35 papers receiving 595 citations

Peers

Devis Pascut
Comparison fields: 5 of 83
  • Cancer Research 219
  • Hepatology 71
  • Molecular Biology 323
  • Biophysics 24
  • Oncology 63
Replace Saima Usman with:
Saima Usman United Kingdom
Haohai Zhang China
Shreya Sharma India
Verena Köberle Germany
Mohammed Benkheil Belgium
Yongchun Yu China
Elijah J. Mun United States
Qiuhui Yang China
Mojgan Esparvarinha Iran
Mengtao Zhou China
Devis Pascut relative to Saima Usman United Kingdom Saima Usman's profile →
Citations per field
00.5×10×13×
Saima Usman · 1×
Citations per year

Countries citing papers authored by Devis Pascut

Since Specialization
Citations

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

Fields of papers citing papers by Devis Pascut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202052
2 201247
3 202044
4 201942
5 201938
6 201735
7 201933
8 202132
9 202132
10 201929
11 202025
12 202022
13 201821
14 201517
15 202416
16 202116
17 202010
18 201810
19 202210
20 20239

About Devis Pascut

Devis Pascut is a scholar working on Molecular Biology, Cancer Research, Hepatology, Epidemiology and Cell Biology, having authored 35 papers that have together received 599 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (12 papers), Circular RNAs in diseases (8 papers), Cancer-related molecular mechanisms research (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Microtubule and mitosis dynamics (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Genetic Syndromes and Imprinting (4 papers) and Hepatitis C virus research (3 papers). The work is most often cited by research in Cancer Research (219 citations), Hepatology (71 citations), Molecular Biology (323 citations), Biophysics (24 citations) and Oncology (63 citations). Devis Pascut has collaborated with scholars based in Italy, Indonesia and Vietnam. Frequent co-authors include Claudio Tiribelli, Muhammad Yogi Pratama, Lory Saveria Crocè, Caecilia Sukowati, Muhammad Nasrum Massi, Mauro Giuffrè, Giorgio Bedogni, Natalia Rosso, Paola Francalanci and Giuliano Torre. Their work appears in journals such as Cancers, Digestive and Liver Disease, Scientific Reports, Oncotarget and Journal of Clinical Medicine.

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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