Chiara Porro

3.9k total citations
86 papers, 2.9k citations indexed

About

Chiara Porro is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Chiara Porro has authored 86 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 22 papers in Neurology and 15 papers in Physiology. Recurrent topics in Chiara Porro's work include Neuroinflammation and Neurodegeneration Mechanisms (21 papers), Extracellular vesicles in disease (15 papers) and MicroRNA in disease regulation (8 papers). Chiara Porro is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (21 papers), Extracellular vesicles in disease (15 papers) and MicroRNA in disease regulation (8 papers). Chiara Porro collaborates with scholars based in Italy, Saudi Arabia and France. Chiara Porro's co-authors include Maria Antonietta Panaro, Teresa Trotta, Antonia Cianciulli, Rosa Calvello, Tarek Benameur, Dario Domenico Lofrumento, Raffaella Soleti, Maria Carmen Martínez, Rosaria Salvatore and Ramaroson Andriantsitohaina and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The FASEB Journal.

In The Last Decade

Chiara Porro

82 papers receiving 2.9k citations

Peers

Chiara Porro
Comparison fields: 5 of 135
  • Molecular Biology 1.3k
  • Neurology 697
  • Physiology 531
  • Immunology 420
  • Cancer Research 358
Replace Won-Ki Kim with:
Won-Ki Kim South Korea
Morena Zusso Italy
Yingjun Liu China
Yi Xie China
Michela Campolo Italy
Shangdong Liang China
Laila Ahmed Rashed Egypt
Anika M. S. Hartz United States
Gholamreza Hassanzadeh Iran
Björn Bauer United States
Won-Ki Kim South Korea View profile →
Citations per field, relative to Chiara Porro
Chiara Porro · 1×
Citations per year, relative to Chiara Porro
Chiara Porro · 1×

Countries citing papers authored by Chiara Porro

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Porro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Porro

This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Porro. A scholar is included among the top collaborators of Chiara Porro 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 Chiara Porro. Chiara Porro 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
# Work Indexed citations
1 0
2 1
3 15
4 4
5 27
6 27
7 15
8 42
9 10
10 5
11 26
12 18
13 10
14 65
15 22
16 67
17 20
18 5
19 0
20 2

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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