Daniela Cantarella

1.1k citations
23 papers · 908 · h-index 15

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

Daniela Cantarella

22 papers receiving 890 citations

Peers

Daniela Cantarella
Comparison fields: 5 of 72
  • Cancer Research 271
  • Immunology 335
  • Molecular Biology 497
  • Oncology 172
  • Genetics 63
Replace Dongli Yue with:
Dongli Yue China
Saritha Kusam United States
Nomathamsanqa Resegofetse Maimela China
Keiko Koga Japan
Geert Harms Netherlands
Yael Raz Israel
Qunying Yang China
Yanxia Zhan China
Chuen-Miin Leu Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Cantarella

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Cantarella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Cantarella, 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 Cantarella Line = papers co-authored together Daniela Cantarella 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 2009244
2 2003112
3 2000111
4 201376
5 201353
6 200945
7 201343
8 201329
9 200324
10 201724
11 201822
12 201616
13 201016
14 201315
15 200915
16 201213
17 201213
18 201612
19 201210
20 202110

About Daniela Cantarella

Daniela Cantarella is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pathology and Forensic Medicine, having authored 23 papers that have together received 908 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), Liver physiology and pathology (3 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers), RNA modifications and cancer (3 papers), Signaling Pathways in Disease (2 papers), Pancreatic function and diabetes (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (271 citations), Immunology (335 citations), Molecular Biology (497 citations), Oncology (172 citations) and Genetics (63 citations). Daniela Cantarella has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Raffaele Calogero, Giulia Casorati, Paolo Dellabona, Stefano Gatti, Enzo Médico, Giovanni Camussi, Valentina Fonsato, Maria Beatriz Herrera Sanchez, Ciro Tetta and Benedetta Bussolati. Their work appears in journals such as The Journal of Immunology, Cancers, The FASEB Journal, Cancer Research and Journal of Molecular and Cellular Cardiology.

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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