Matteo Perini

2.7k citations
86 papers · 2.0k · h-index 26

Impact in

  • Ecology top 1%
    • Isotope Analysis in Ecology
    • Archaeology and ancient environmental studies

Papers in

    • Isotope Analysis in Ecology 59
    • Metabolomics and Mass Spectrometry Studies 12
    • Identification and Quantification in Food 11

Matteo Perini

79 papers receiving 2.0k citations

Peers

Matteo Perini
Comparison fields: 5 of 109
  • Ecology 1.2k
  • Paleontology 269
  • Animal Science and Zoology 355
  • Analytical Chemistry 299
  • Food Science 390
Replace Luana Bontempo with:
Luana Bontempo Italy
Daniela Bertoldi Italy
A. Roßmann Germany
Yimin Wei China
Luca Ziller Italy
Karl Heaton United Kingdom
Kristian Holst Laursen Denmark
Laurent Pillonel Switzerland
Mark Woolfe United Kingdom
Simon Hammann Germany
Matteo Perini relative to Luana Bontempo Italy Luana Bontempo's profile →
Citations per field
00.5×1.5×
Luana Bontempo · 1×
Citations per year

Countries citing papers authored by Matteo Perini

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Perini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016145
2 2010132
3 2009129
4 2008129
5 2008122
6 201081
7 201871
8 201171
9 201571
10 200962
11 201251
12 200947
13 201145
14 201045
15 201743
16 201938
17 201936
18 201034
19 201033
20 202132

About Matteo Perini

Matteo Perini is a scholar working on Ecology, Molecular Biology, Food Science, Animal Science and Zoology and Plant Science, having authored 86 papers that have together received 2.0k indexed citations. Recurring topics across this work include Isotope Analysis in Ecology (59 papers), Meat and Animal Product Quality (21 papers), Fermentation and Sensory Analysis (17 papers), Metabolomics and Mass Spectrometry Studies (12 papers), Identification and Quantification in Food (11 papers), Archaeology and ancient environmental studies (9 papers), Horticultural and Viticultural Research (8 papers) and Advanced Chemical Sensor Technologies (6 papers). The work is most often cited by research in Ecology (1.2k citations), Paleontology (269 citations), Animal Science and Zoology (355 citations), Analytical Chemistry (299 citations) and Food Science (390 citations). Matteo Perini has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Federica Camin, Luana Bontempo, Roberto Larcher, Edi Piasentier, Daniela Bertoldi, Giorgio Nicolini, Luca Ziller, Giuseppe Versini, Andreas Roßmann and Freddy Thomas. Their work appears in journals such as Food Chemistry, Journal of Agricultural and Food Chemistry, Molecules, Journal of Mass Spectrometry and Rapid Communications in Mass Spectrometry.

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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