Daniela Cantarella

1.1k citations
23 papers · 950 · h-index 16

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

23 papers receiving 925 citations

Peers

Daniela Cantarella
Comparison fields: 5 of 71
  • Cancer Research 254
  • Immunology 324
  • Molecular Biology 492
  • Oncology 165
  • Genetics 60
Replace Jun Ren with:
Jun Ren China
Hironori Tashiro Japan
Zhenke Wen China
Kumiko Goi Japan
Saritha Kusam United States
Geert Harms Netherlands
Yanxia Zhan China
Pierre Combe France
Fang Dong China
Giorgia Nardo Italy
Daniela Cantarella relative to Jun Ren China Jun Ren's profile →
Citations per field
00.5×1.7×
Jun Ren · 1×
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 2009259
2 2003116
3 2000113
4 201383
5 201353
6 200946
7 201344
8 201330
9 200327
10 201724
11 201823
12 201018
13 201616
14 201216
15 200915
16 201315
17 201214
18 201612
19 202110
20 201210

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 950 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), T-cell and B-cell Immunology (2 papers), CAR-T cell therapy research (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (254 citations), Immunology (324 citations), Molecular Biology (492 citations), Oncology (165 citations) and Genetics (60 citations). Daniela Cantarella has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Raffaele Calogero, Paolo Dellabona, Stefano Gatti, Giulia Casorati, Enzo Médico, Valentina Fonsato, Maria Chiara Deregibus, Benedetta Bussolati, Ciro Tetta and Giovanni Camussi. Their work appears in journals such as The Journal of Immunology, The FASEB Journal, Cancers, Journal of Molecular and Cellular Cardiology and European Journal of Immunology.

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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