Daniela Cesselli

7.1k citations
112 papers · 4.8k · h-index 36

Impact in

Papers in

    • Extracellular vesicles in disease 13
    • Pluripotent Stem Cells Research 7
    • Mesenchymal stem cell research 15
    • Glioma Diagnosis and Treatment 13

Daniela Cesselli

108 papers receiving 4.7k citations

Peers

Daniela Cesselli
Comparison fields: 5 of 129
  • Genetics 823
  • Cancer Research 777
  • Molecular Biology 2.2k
  • Cardiology and Cardiovascular Medicine 475
  • Biomaterials 314
Replace Beatriz G. Gálvez with:
Beatriz G. Gálvez Spain
Tkachuk Va Russia
Antonis K. Hatzopoulos United States
Mikhail G. Kolonin United States
Dean Y. Li United States
Wei Huang China
Antonia Follenzi Italy
Guillem Genové Sweden
Thierry Couffinhal France
Giulio Pompilio Italy
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Cesselli

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Cesselli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006321
2 2001316
3 2011283
4 2001257
5 2010230
6 2009214
7 2016153
8 2017150
9 2016129
10 2017126
11 2016106
12 2015105
13 2015105
14 2011102
15 2009101
16 201899
17 201781
18 201281
19 201663
20 201255

About Daniela Cesselli

Daniela Cesselli is a scholar working on Molecular Biology, Genetics, Cancer Research, Surgery and Oncology, having authored 112 papers that have together received 4.8k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (15 papers), Extracellular vesicles in disease (13 papers), Glioma Diagnosis and Treatment (13 papers), Cancer Cells and Metastasis (12 papers), MicroRNA in disease regulation (8 papers), Tissue Engineering and Regenerative Medicine (8 papers), Pluripotent Stem Cells Research (7 papers) and Autophagy in Disease and Therapy (6 papers). The work is most often cited by research in Genetics (823 citations), Cancer Research (777 citations), Molecular Biology (2.2k citations), Cardiology and Cardiovascular Medicine (475 citations) and Biomaterials (314 citations). Daniela Cesselli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Antonio Paolo Beltrami, Carla Di Loreto, Piero Anversa, Carlo Alberto Beltrami, Annarosa Leri, Jan Kajstura, Costanza Emanueli, Rajesh Katare, Michela Bulfoni and Ivana Manini. Their work appears in journals such as Cancers, PLoS ONE, Circulation Research, International Journal of Molecular Sciences and Nanomedicine Nanotechnology Biology and 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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