Massimo Labra

9.4k total citations · 1 hit paper
196 papers, 6.9k citations indexed

About

Massimo Labra is a scholar working on Plant Science, Molecular Biology and Food Science. According to data from OpenAlex, Massimo Labra has authored 196 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Plant Science, 69 papers in Molecular Biology and 47 papers in Food Science. Recurrent topics in Massimo Labra's work include Plant and animal studies (31 papers), Horticultural and Viticultural Research (28 papers) and Identification and Quantification in Food (26 papers). Massimo Labra is often cited by papers focused on Plant and animal studies (31 papers), Horticultural and Viticultural Research (28 papers) and Identification and Quantification in Food (26 papers). Massimo Labra collaborates with scholars based in Italy, Spain and Iran. Massimo Labra's co-authors include Andrea Galimberti, Fabrizio De Mattia, Maurizio Casiraghi, F. Grassi, Sergio Sgorbati, Ilaria Bruni, Sandra Citterio, Valerio Mezzasalma, S. Imazio and F. Sala and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Massimo Labra

192 papers receiving 6.6k citations

Hit Papers

The emerging role of nanotechnology in skincare 2021 2026 2022 2024 2021 50 100 150

Peers

Massimo Labra
Comparison fields: 5 of 177
  • Plant Science 2.7k
  • Molecular Biology 2.3k
  • Food Science 1.7k
  • Ecology 915
  • Ecology, Evolution, Behavior and Systematics 893
Replace Carlos A. Rosa with:
Carlos A. Rosa Brazil
Ann Hagerman United States
Richard C. Gardner New Zealand
Johan H. J. Leveau United States
Giuseppe Mazza Italy
Christophe Clément France
Nelson Marmiroli Italy
Robert A. Moreau United States
Safiyh Taghavi United States
Kerrie Barry United States
Carlos A. Rosa Brazil View profile →
Citations per field, relative to Massimo Labra
Massimo Labra · 1×
Citations per year, relative to Massimo Labra
Massimo Labra · 1×

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-authorship network of co-authors of Massimo Labra

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Labra. A scholar is included among the top collaborators of Massimo Labra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Massimo Labra. Massimo Labra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 6
4 9
5 5
6 6
7 6
8 32
9 7
10 11
11 3
12 4
13 30
14 20
15 13
16 4
17 11
18 3
19 128
20 12

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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