Francesca Cecchi
Impact in
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- Teaching and Learning Programming
- Equine top 5%
Papers in
- Genetics 54
- Genetic and phenotypic traits in livestock 41
- Genetic Mapping and Diversity in Plants and Animals 17
- Human-Animal Interaction Studies 14
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- Milk Quality and Mastitis in Dairy Cows 15
- Co-authors
- Paolo Dario (31 shared papers)Cecilia Laschi (29 shared papers)Giuseppina Sgandurra (21 shared papers)Giovanni Cioni (21 shared papers)Roberta Ciampolini (37 shared papers)Emanuela Inguaggiato (9 shared papers)Emanuela Castro (9 shared papers)Chiara Pecini (5 shared papers)
In The Last Decade
Francesca Cecchi
142 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 145
- Computer Science Applications 171
- Equine 27
- Pediatrics, Perinatology and Child Health 246
- Psychiatry and Mental health 167
- Animal Science and Zoology 124
Countries citing papers authored by Francesca Cecchi
This map shows the geographic impact of Francesca Cecchi'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 Francesca Cecchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Cecchi more than expected).
Fields of papers citing papers by Francesca Cecchi
This network shows the impact of papers produced by Francesca Cecchi. 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 Francesca Cecchi. The network helps show where Francesca Cecchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Cecchi, 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 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 156 | |
| 2 | 2017 | 66 | |
| 3 | 2004 | 49 | |
| 4 | 2018 | 40 | |
| 5 | 2020 | 38 | |
| 6 | 2016 | 34 | |
| 7 | 2019 | 31 | |
| 8 | 2017 | 30 | |
| 9 | 2013 | 29 | |
| 10 | 2018 | 29 | |
| 11 | 2020 | 28 | |
| 12 | 1993 | 27 | |
| 13 | 2016 | 27 | |
| 14 | 2017 | 24 | |
| 15 | 2018 | 24 | |
| 16 | 2012 | 21 | |
| 17 | 2012 | 21 | |
| 18 | 2006 | 20 | |
| 19 | 2013 | 20 | |
| 20 | 2013 | 19 |
About Francesca Cecchi
Francesca Cecchi is a scholar working on Genetics, Agronomy and Crop Science, Animal Science and Zoology, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 152 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (41 papers), Infant Development and Preterm Care (19 papers), Genetic Mapping and Diversity in Plants and Animals (17 papers), Milk Quality and Mastitis in Dairy Cows (15 papers), Human-Animal Interaction Studies (14 papers), Meat and Animal Product Quality (14 papers), Cerebral Palsy and Movement Disorders (10 papers) and Children's Physical and Motor Development (10 papers). The work is most often cited by research in Computer Science Applications (171 citations), Equine (27 citations), Pediatrics, Perinatology and Child Health (246 citations), Psychiatry and Mental health (167 citations) and Animal Science and Zoology (124 citations). Francesca Cecchi has collaborated with scholars based in Italy, Slovenia and Australia. Frequent co-authors include Paolo Dario, Cecilia Laschi, Giuseppina Sgandurra, Giovanni Cioni, Roberta Ciampolini, Emanuela Inguaggiato, Emanuela Castro, Chiara Pecini, Maria Lieto and Martina Maselli. Their work appears in journals such as Italian Journal of Animal Science, Veterinary Sciences, Small Ruminant Research, Animals and PLoS ONE.
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.