Lorenzo Spanedda

464 total citations
20 papers, 413 citations indexed

About

Lorenzo Spanedda is a scholar working on Food Science, Molecular Biology and Insect Science. According to data from OpenAlex, Lorenzo Spanedda has authored 20 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Food Science, 6 papers in Molecular Biology and 6 papers in Insect Science. Recurrent topics in Lorenzo Spanedda's work include Pesticide Residue Analysis and Safety (9 papers), Insect and Pesticide Research (6 papers) and Bee Products Chemical Analysis (3 papers). Lorenzo Spanedda is often cited by papers focused on Pesticide Residue Analysis and Safety (9 papers), Insect and Pesticide Research (6 papers) and Bee Products Chemical Analysis (3 papers). Lorenzo Spanedda collaborates with scholars based in Italy. Lorenzo Spanedda's co-authors include Paolo Cabras, Carlo Ignazio Giovanni Tuberoso, Marinella Melis, G. A. Farris, Mario Cubeddu, Franco Cabitza, Filippo M. Pirisi, Vincenzo L. Garau, Marco Meloní and Antonio Plumitallo and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Chromatography A and Applied Microbiology and Biotechnology.

In The Last Decade

Lorenzo Spanedda

20 papers receiving 381 citations

Peers

Lorenzo Spanedda
Comparison fields: 5 of 54
  • Food Science 265
  • Insect Science 170
  • Plant Science 99
  • Analytical Chemistry 76
  • Pollution 73
Replace Mario Pala with:
Mario Pala Italy
Magdalena Słowik‐Borowiec Poland
Toshihiro Nagayama Japan
Franco Cabitza Italy
Sami Barrek France
Elizabeth V. Minelli Brazil
Paula Payá Spain
Mario Cubeddu Italy
Weiting Jiao China
Guofeng Xu China
Mario Pala Italy View profile →
Citations per field, relative to Lorenzo Spanedda
Lorenzo Spanedda · 1×
Citations per year, relative to Lorenzo Spanedda
Lorenzo Spanedda · 1×

Countries citing papers authored by Lorenzo Spanedda

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo Spanedda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenzo Spanedda

This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Spanedda. A scholar is included among the top collaborators of Lorenzo Spanedda 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 Lorenzo Spanedda. Lorenzo Spanedda 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
Determination and persistence of methiocarb in artichokes
1
2
Persistence of some organophosphorous insecticides in orange fruit
1
3
PESTICIDE-RESIDUES IN ITALIAN WINES
6
4 12
5 18
6 35
7 118
8 14
9 10
10 24
11
Pesticide residues in food processing.
36
12 22
13 18
14 5
15 31
16 35
17 8
18 8
19 9
20 2

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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