Matteo Perini

2.6k citations
84 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 58
    • Identification and Quantification in Food 12
    • Metabolomics and Mass Spectrometry Studies 11

Matteo Perini

79 papers receiving 1.9k citations

Peers

Matteo Perini
Comparison fields: 5 of 109
  • Ecology 1.2k
  • Paleontology 274
  • Animal Science and Zoology 370
  • Analytical Chemistry 300
  • Food Science 387
Replace Luana Bontempo with:
Luana Bontempo Italy
Daniela Bertoldi Italy
Luca Ziller Italy
Kristian Holst Laursen Denmark
Laurent Pillonel Switzerland
Xianmin Diao China
John‐Erik Haugen Norway
Gloria Montenegro Chile
Tadashi Sato Japan
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 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016139
2 2010131
3 2008128
4 2009126
5 2008122
6 201080
7 201170
8 201869
9 201569
10 200961
11 201250
12 200947
13 201145
14 201044
15 201740
16 201938
17 201936
18 201034
19 201033
20 201630

About Matteo Perini

Matteo Perini is a scholar working on Ecology, Molecular Biology, Animal Science and Zoology, Food Science and Plant Science, having authored 84 papers that have together received 2.0k indexed citations. Recurring topics across this work include Isotope Analysis in Ecology (58 papers), Meat and Animal Product Quality (22 papers), Fermentation and Sensory Analysis (17 papers), Identification and Quantification in Food (12 papers), Metabolomics and Mass Spectrometry Studies (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 (274 citations), Animal Science and Zoology (370 citations), Analytical Chemistry (300 citations) and Food Science (387 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 A. Schellenberg. Their work appears in journals such as Food Chemistry, Molecules, Journal of Agricultural and Food Chemistry, 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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