Matteo Minghetti

1.6k citations
36 papers · 1.3k · h-index 19

Impact in

Papers in

Matteo Minghetti

35 papers receiving 1.3k citations

Peers

Matteo Minghetti
Comparison fields: 5 of 109
  • Aquatic Science 304
  • Health, Toxicology and Mutagenesis 377
  • Physiology 100
  • Pollution 253
  • Endocrine and Autonomic Systems 87
Replace Qing–Ling Zhu with:
Qing–Ling Zhu China
Marina Prisco Italy
Ya Zhu China
Konstantinos Feidantsis Greece
Wenjun Shi China
Vincenza Laforgia Italy
Carla Bacchetta Argentina
Andrey Massarsky United States
Hee‐Jin Kim South Korea
Un-Ki Hwang South Korea
Matteo Minghetti relative to Qing–Ling Zhu China Qing–Ling Zhu's profile →
Citations per field
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Qing–Ling Zhu · 1×
Citations per year

Countries citing papers authored by Matteo Minghetti

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Minghetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013281
2 2010150
3 201789
4 200979
5 200864
6 200864
7 200964
8 201651
9 202149
10 201445
11 200945
12 201843
13 201434
14 202127
15 201926
16 202022
17 201120
18 202019
19 201718
20 202412

About Matteo Minghetti

Matteo Minghetti is a scholar working on Health, Toxicology and Mutagenesis, Pollution, Nutrition and Dietetics, Industrial and Manufacturing Engineering and Materials Chemistry, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Environmental Toxicology and Ecotoxicology (13 papers), Heavy Metal Exposure and Toxicity (9 papers), Microplastics and Plastic Pollution (8 papers), Trace Elements in Health (7 papers), Recycling and Waste Management Techniques (5 papers), Nanoparticles: synthesis and applications (5 papers), Mercury impact and mitigation studies (5 papers) and Aquaculture Nutrition and Growth (3 papers). The work is most often cited by research in Aquatic Science (304 citations), Health, Toxicology and Mutagenesis (377 citations), Physiology (100 citations), Pollution (253 citations) and Endocrine and Autonomic Systems (87 citations). Matteo Minghetti has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Michael J. Leaver, Douglas R. Tocher, Kristin Schirmer, Hervé Migaud, Laura Sigg, Blair D. Johnston, Martin J. D. Clift, Alke Petri‐Fink, Fabian Herzog and Renata Behra. Their work appears in journals such as Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology, Environmental Toxicology and Chemistry, Aquatic Toxicology, Environmental Science Nano and Environmental Science Processes & Impacts.

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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