Luisa Pascucci

4.3k citations
80 papers · 3.4k indexed · 2 hit papers · h-index 29
Topics
Extracellular vesicles in disease (27 papers)Mesenchymal stem cell research (25 papers)MicroRNA in disease regulation (18 papers)
Partner nations
ItalySpainUnited Kingdom

In The Last Decade

Luisa Pascucci

77 papers receiving 3.4k citations

Hit Papers

Paclitaxel is incorporated by mesenchymal stromal cells a...201420262018202220142017200400600

Peers

Luisa Pascucci
Comparison fields: 5 of 118
  • Molecular Biology 2.1k
  • Cancer Research 1.2k
  • Genetics 1.0k
  • Surgery 522
  • Biomedical Engineering 313
Replace T. Michael Underhill with:
T. Michael Underhill Canada
Shigeru Miyaki Japan
John F. Bateman Australia
Claudia Göttl Germany
Andy Peng Xiang China
Ivo Kalajzić United States
Winston W.‐Y. Kao United States
Nicolai Miosge Germany
Kazuhisa Nakashima Japan
Ronald J. Midura United States
Luisa Pascucci relative to T. Michael Underhill Canada T. Michael Underhill's profile →
Citations per field
00.5×1.5×2.4×
T. Michael Underhill · 1×
Citations per year

Countries citing papers authored by Luisa Pascucci

Since Specialization
Citations

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

Fields of papers citing papers by Luisa Pascucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luisa Pascucci

This figure shows the co-authorship network connecting the top 25 collaborators of Luisa Pascucci. A scholar is included among the top collaborators of Luisa Pascucci 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 Luisa Pascucci. Luisa Pascucci 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 8
2 3
3 2
4 6
5 13
6 7
7 7
8 14
9 49
10 32
11 23
12 17
13 34
14 54
15 26
16 20
17 44
18 46
19 20
20
Adipose-derived mesenchymal stem cells in the horse: isolation, in vitro expansion and preliminary identification in view of a possible use in the cellular therapy of tendon and ligament injuries.
2

About Luisa Pascucci

Luisa Pascucci is a scholar working on Genetics, Equine and Endocrine and Autonomic Systems, having authored 80 papers that have together received 3.4k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (27 papers), Mesenchymal stem cell research (25 papers) and MicroRNA in disease regulation (18 papers). The work is most often cited by research in Genetics (1.0k citations), Cancer Research (1.2k citations) and Molecular Biology (2.1k citations). Luisa Pascucci has collaborated with scholars based in Italy, Spain and United Kingdom. Frequent co-authors include Augusto Pessina, Giulio Alessandri, Maurizio Muraca, Piero Ceccarelli, Valentina Coccè, Arianna Bonomi, Emilio Ciusani, Eugenio Parati, Francesca Sisto and Gianpietro Bondiolotti. Their work appears in journals such as Scientific Reports, Brain Research and The FASEB Journal.

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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