Mattia Perilli

721 citations
35 papers · 575 · h-index 15

Impact in

    • Air Quality and Health Impacts
    • Toxic Organic Pollutants Impact
    • Indoor Air Quality and Microbial Exposure
    • Effects and risks of endocrine disrupting chemicals
  • Toxicology top 5%
    • Forensic Toxicology and Drug Analysis

Papers in

Mattia Perilli

33 papers receiving 570 citations

Peers

Mattia Perilli
Comparison fields: 5 of 78
  • Health, Toxicology and Mutagenesis 370
  • Toxicology 45
  • Process Chemistry and Technology 26
  • Pollution 88
  • Atmospheric Science 132
Replace Yaoxing Wu with:
Yaoxing Wu United States
E Menichini Italy
Rosanna Mabilia Italy
M Piloty Germany
Eduardo Monteiro Martins Brazil
A Oddoy Germany
Francisco Sánchez-Soberón Spain
Chao Wan China
Annalisa Marzocca Italy
Ali Behnami Iran
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Citations per field
00.5×10×15×20×22.5×
Yaoxing Wu · 1×
Citations per year

Countries citing papers authored by Mattia Perilli

Since Specialization
Citations

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

Fields of papers citing papers by Mattia Perilli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201488
2 201863
3 201540
4 201230
5 201230
6 201628
7 201227
8 201724
9 201923
10 201623
11 201518
12 201717
13 201416
14 201815
15 201615
16 201414
17 201614
18 201713
19 201712
20 20199

About Mattia Perilli

Mattia Perilli is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Pollution, Environmental Engineering and Biomedical Engineering, having authored 35 papers that have together received 575 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (18 papers), Toxic Organic Pollutants Impact (15 papers), Atmospheric chemistry and aerosols (8 papers), Air Quality Monitoring and Forecasting (5 papers), Indoor Air Quality and Microbial Exposure (4 papers), Vehicle emissions and performance (3 papers), Forensic Toxicology and Drug Analysis (3 papers) and Thermochemical Biomass Conversion Processes (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (370 citations), Toxicology (45 citations), Process Chemistry and Technology (26 citations), Pollution (88 citations) and Atmospheric Science (132 citations). Mattia Perilli has collaborated with scholars based in Italy, Norway and Sweden. Frequent co-authors include Angelo Cecinato, Catia Balducci, Paola Romagnoli, Francesca Vichi, Andrea Gordiani, Francesco Petracchini, Claudio Gariazzo, Valerio Paolini, Monica Gherardi and Giulio Esposito. Their work appears in journals such as Environmental Science and Pollution Research, Chemosphere, Atmosphere, Atmospheric Pollution Research and Environmental Pollution.

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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