Massimo Labra

203 papers receiving 7.5k citations

Massimo Labra's Hit Papers

The emerging role of nanotechnology in skincare 2021 · 236 citations
2360+1+3Years since publication50100150200

Peers

Massimo Labra
Comparison fields: 5 of 182
  • Tourism, Leisure and Hospitality Management 429
  • Food Science 1.9k
  • Plant Science 3.0k
  • Ecology, Evolution, Behavior and Systematics 952
  • Pollution 509
Replace Carlos A. Rosa with:
Carlos A. Rosa Brazil
Christophe Clément France
Robert James Henry Australia
Robert A. Keyzers New Zealand
Robert A. Moreau United States
Nelson Marmiroli Italy
Safiyh Taghavi United States
Ana Maria Cameán Spain
Nélson Lima Portugal
Ann E Hagerman United States
Massimo Labra relative to Carlos A. Rosa Brazil Carlos A. Rosa's profile →
Citations per field
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Carlos A. Rosa · 1×
Citations per year

Countries citing papers authored by Massimo Labra

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Labra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 208 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012359
2 2009245
3
The emerging role of nanotechnology in skincare
Hit paper breakdown →
2021236
4 2004214
5 2001210
6 2004198
7 2022181
8 2003178
9 2006175
10 2002172
11 2014134
12 2000129
13 2010128
14 2010123
15 2014115
16 2018107
17 2003105
18 2015101
19 2010101
20 201097

About Massimo Labra

Massimo Labra is a scholar working on Plant Science, Food Science, Ecology, Evolution, Behavior and Systematics, Tourism, Leisure and Hospitality Management and Ecology, having authored 208 papers that have together received 7.8k indexed citations. Recurring topics across this work include Plant and animal studies (31 papers), Horticultural and Viticultural Research (28 papers), Identification and Quantification in Food (26 papers), Fermentation and Sensory Analysis (23 papers), Wine Industry and Tourism (17 papers), Genetic diversity and population structure (11 papers), Environmental DNA in Biodiversity Studies (11 papers) and Microbial Community Ecology and Physiology (9 papers). The work is most often cited by research in Tourism, Leisure and Hospitality Management (429 citations), Food Science (1.9k citations), Plant Science (3.0k citations), Ecology, Evolution, Behavior and Systematics (952 citations) and Pollution (509 citations). Massimo Labra has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Andrea Galimberti, Fabrizio De Mattia, Maurizio Casiraghi, F. Grassi, Sergio Sgorbati, Ilaria Bruni, Sandra Citterio, Valerio Mezzasalma, S. Imazio and Florin SALA. Their work appears in journals such as Food Research International, Plants, Plant Biology, Foods and Plant Science.

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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