Daniela Alotto

879 citations
22 papers · 748 indexed · h-index 15
Topics
Wound Healing and Treatments (6 papers)Mesenchymal stem cell research (4 papers)Cancer-related Molecular Pathways (3 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEOncogene
Partner nations
ItalyFranceUnited States

In The Last Decade

Daniela Alotto

22 papers receiving 738 citations

Peers

Daniela Alotto
Comparison fields: 5 of 96
  • Molecular Biology 255
  • Oncology 121
  • Surgery 109
  • Rehabilitation 103
  • Pathology and Forensic Medicine 97
Replace Richard Le Naour with:
Richard Le Naour France
Felipe Saldanha‐Araújo Brazil
Josef Auböck Austria
Yao Yao China
Medi Eslani United States
Yiwen Zhou China
Hong He China
Rachel Grossman United States
Wei Qian China
Fei Xue China
Daniela Alotto relative to Richard Le Naour France Richard Le Naour's profile →
Citations per field
00.5×3.7×
Richard Le Naour · 1×
Citations per year

Countries citing papers authored by Daniela Alotto

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Alotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Alotto

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Alotto. A scholar is included among the top collaborators of Daniela Alotto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniela Alotto. Daniela Alotto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 12
2 1
3 70
4 22
5 13
6 4
7 38
8 11
9 16
10 34
11
Human cytomegalovirus load in fresh and glycerolized skin grafts.
3
12 55
13 34
14 32
15 18
16 49
17 28
18 40
19 98
20 31

About Daniela Alotto

Daniela Alotto is a scholar working on Rehabilitation, Genetics and Dermatology, having authored 22 papers that have together received 748 indexed citations. Recurring topics across this work include Wound Healing and Treatments (6 papers), Mesenchymal stem cell research (4 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Rehabilitation (103 citations), Pharmaceutical Science (68 citations) and Dermatology (78 citations). Daniela Alotto has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Carlotta Castagnoli, Maurizio Stella, Irene Cambieri, Francesca Silvagno, Loredana Bergandi, G. Magliacani, M Viganò, Roberto Mantovani, Sara Scutera and Tiziana Musso. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Oncogene.

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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