Luisa Torri
Impact in
- Food Science top 0.2%
- Sensory Analysis and Statistical Methods
- Sensory Systems top 1%
- Olfactory and Sensory Function Studies
Papers in
- Food Science 65
- Sensory Analysis and Statistical Methods 37
- Fermentation and Sensory Analysis 11
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- Biochemical Analysis and Sensing Techniques 25
- Food composition and properties 10
- Co-authors
- Maria Piochi (35 shared papers)Sara Limbo (9 shared papers)Caterina Dinnella (17 shared papers)Erminio Monteleone (17 shared papers)Fabio Tuccillo (3 shared papers)Nicoletta Sinelli (4 shared papers)N. Sinelli (3 shared papers)E. Casiraghi (5 shared papers)
- Journals
- Food Quality and Preference (20 papers)Foods (13 papers)Food Research International (12 papers)LWT (6 papers)Nutrients (5 papers)
- Partner nations
- ItalyIranUnited States
In The Last Decade
Luisa Torri
102 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 146
- Food Science 1.6k
- Sensory Systems 423
- Nutrition and Dietetics 919
- Biochemistry 293
- Animal Science and Zoology 492
Countries citing papers authored by Luisa Torri
This map shows the geographic impact of Luisa Torri'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 Luisa Torri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luisa Torri more than expected).
Fields of papers citing papers by Luisa Torri
This network shows the impact of papers produced by Luisa Torri. 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 Luisa Torri. The network helps show where Luisa Torri may publish in the future.
Co-authors
The 25 scholars most cited alongside Luisa Torri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 135 | |
| 2 | 2020 | 118 | |
| 3 | 2018 | 114 | |
| 4 | 2015 | 88 | |
| 5 | 2018 | 88 | |
| 6 | 2019 | 85 | |
| 7 | 2018 | 85 | |
| 8 | 2013 | 85 | |
| 9 | 2016 | 85 | |
| 10 | 2010 | 80 | |
| 11 | 2009 | 75 | |
| 12 | 2020 | 69 | |
| 13 | 2018 | 68 | |
| 14 | 2014 | 67 | |
| 15 | 2018 | 65 | |
| 16 | 2014 | 63 | |
| 17 | 2019 | 60 | |
| 18 | 2022 | 56 | |
| 19 | 2020 | 52 | |
| 20 | 2019 | 51 |
About Luisa Torri
Luisa Torri is a scholar working on Food Science, Nutrition and Dietetics, Sensory Systems, Plant Science and Animal Science and Zoology, having authored 109 papers that have together received 3.0k indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (37 papers), Olfactory and Sensory Function Studies (26 papers), Biochemical Analysis and Sensing Techniques (25 papers), Meat and Animal Product Quality (20 papers), Advanced Chemical Sensor Technologies (13 papers), Fermentation and Sensory Analysis (11 papers), Food composition and properties (10 papers) and Phytochemicals and Antioxidant Activities (10 papers). The work is most often cited by research in Food Science (1.6k citations), Sensory Systems (423 citations), Nutrition and Dietetics (919 citations), Biochemistry (293 citations) and Animal Science and Zoology (492 citations). Luisa Torri has collaborated with scholars based in Italy, Iran and United States. Frequent co-authors include Maria Piochi, Sara Limbo, Caterina Dinnella, Erminio Monteleone, Fabio Tuccillo, Nicoletta Sinelli, N. Sinelli, E. Casiraghi, L. Franzetti and Sara Spinelli. Their work appears in journals such as Food Quality and Preference, Foods, Food Research International, LWT and Nutrients.
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.