Danilo Marimpietri

3.3k citations
67 papers · 2.6k indexed · h-index 30

Impact in

  • Physiology top 1%
    • Adenosine and Purinergic Signaling
  • Neurology top 2%
    • Neuroblastoma Research and Treatments

Papers in

Danilo Marimpietri

66 papers receiving 2.6k citations

Peers

Danilo Marimpietri
Comparison fields: 5 of 108
  • Physiology 256
  • Neurology 559
  • Cancer Research 459
  • Biomaterials 396
  • Molecular Biology 1.5k
Replace Fabio Pastorino with:
Fabio Pastorino Italy
Mitomu Kioi Japan
Chiara Brignole Italy
Anand G. Patel United States
Volker Ehemann Germany
Gabriella Pagnan Italy
Hudan Liu China
Lisa M. Minter United States
Wijnand Helfrich Netherlands
Weiliang Xia China
Danilo Marimpietri relative to Fabio Pastorino Italy Fabio Pastorino's profile →
Citations per field
00.5×8.3×
Fabio Pastorino · 1×
Citations per year

Countries citing papers authored by Danilo Marimpietri

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Marimpietri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20248
2 20239
3 202110
4 202111
5 201929
6 201868
7 2014107
8 2013123
9 201154
10 201060
11 200938
12 200910
13 200910
14 200874
15 200726
16 2006192
17 200512
18 200463
19 200064
20 19952

About Danilo Marimpietri

Danilo Marimpietri is a scholar working on Neurology, Physiology, Molecular Biology, Molecular Medicine and Cancer Research, having authored 67 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (29 papers), Cancer therapeutics and mechanisms (10 papers), Cell death mechanisms and regulation (10 papers), Extracellular vesicles in disease (8 papers), Cancer, Hypoxia, and Metabolism (8 papers), Ubiquitin and proteasome pathways (7 papers), Antimicrobial agents and applications (6 papers) and Retinoids in leukemia and cellular processes (6 papers). The work is most often cited by research in Physiology (256 citations), Neurology (559 citations), Cancer Research (459 citations), Biomaterials (396 citations) and Molecular Biology (1.5k citations). Danilo Marimpietri has collaborated with scholars based in Italy, Canada and Japan. Frequent co-authors include Mirco Ponzoni, Fabio Pastorino, Chiara Brignole, Doménico Ribatti, Theresa M. Allen, Gabriella Pagnan, Vito Pistoia, Michele Cilli, Daniela Di Paolo and Annalisa Pezzolo. Their work appears in journals such as Cancer Letters, Pharmaceutics, Clinical Cancer Research, Cells and Annals of the New York 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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