Daniela Barcaroli

2.6k citations
23 papers · 2.0k · h-index 21

Impact in

Papers in

    • RNA Research and Splicing 5
    • Genomics and Chromatin Dynamics 4
    • Metabolism, Diabetes, and Cancer 2
    • Cancer-related Molecular Pathways 8
    • Cancer Cells and Metastasis 3

Daniela Barcaroli

23 papers receiving 2.0k citations

Peers

Daniela Barcaroli
Comparison fields: 5 of 91
  • Biotechnology 405
  • Oncology 1.0k
  • Molecular Biology 1.5k
  • Cancer Research 309
  • Pharmacology 173
Replace Shlomit Halachmi with:
Shlomit Halachmi Israel
Tadashi Komata United States
Lyle V. Lopez United States
Dianna A. Johnson United States
Angelo Peschiaroli Italy
Satoshi Kaneko Japan
S Krajewski United States
Karen Koed Denmark
Shahin Emami France
Rémy Pedeux France
Daniela Barcaroli relative to Shlomit Halachmi Israel Shlomit Halachmi's profile →
Citations per field
00.5×3.3×
Shlomit Halachmi · 1×
Citations per year

Countries citing papers authored by Daniela Barcaroli

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Barcaroli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998337
2 2001293
3 2014214
4 2000157
5 2000111
6 2006104
7 200785
8 201182
9 201382
10 200472
11 200865
12 200955
13 200650
14 201149
15 201534
16 201432
17 200926
18 200826
19 201125
20 201625

About Daniela Barcaroli

Daniela Barcaroli is a scholar working on Molecular Biology, Oncology, Surgery, Pharmacology and Biotechnology, having authored 23 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (8 papers), RNA Research and Splicing (5 papers), Pancreatic function and diabetes (4 papers), Genomics and Chromatin Dynamics (4 papers), Cannabis and Cannabinoid Research (4 papers), Cancer Research and Treatments (3 papers), Cancer Cells and Metastasis (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Biotechnology (405 citations), Oncology (1.0k citations), Molecular Biology (1.5k citations), Cancer Research (309 citations) and Pharmacology (173 citations). Daniela Barcaroli has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Vincenzo De Laurenzi, Gerry Melino, Alessandro Terrinoni, Massimo Levrero, Antonio Costanzo, Margherita Annicchiarico‐Petruzzelli, Richard A. Knight, Mauro Maccarrone, Antonella De Cola and Carine Maisse. Their work appears in journals such as Oncotarget, Journal of Biological Chemistry, Cell Cycle, Oncogene and Proceedings of the National Academy of Sciences.

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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