Barbara Lazzari
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 6
- Genetics 20
- Genetic and phenotypic traits in livestock 8
Barbara Lazzari
75 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 153
- Reproductive Medicine 135
- Cancer Research 220
- Agronomy and Crop Science 110
- Genetics 294
- Plant Science 269
Countries citing papers authored by Barbara Lazzari
This map shows the geographic impact of Barbara Lazzari'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 Barbara Lazzari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Lazzari more than expected).
Fields of papers citing papers by Barbara Lazzari
This network shows the impact of papers produced by Barbara Lazzari. 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 Barbara Lazzari. The network helps show where Barbara Lazzari may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Lazzari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 7 | |
| 4 | 2021 | 6 | |
| 5 | 2020 | 24 | |
| 6 | 2019 | 33 | |
| 7 | 2018 | 239 | |
| 8 | 2018 | 8 | |
| 9 | 2018 | 8 | |
| 10 | 2017 | 136 | |
| 11 | 2017 | 13 | |
| 12 | 2016 | 49 | |
| 13 | Investigating a highly significant QTL for milk protein content segregating in Sarda sheep breed close to the caseins cluster region by whole genome re-sequencing of target animals | 2014 | 2 |
| 14 | 2013 | 74 | |
| 15 | 2008 | 3 | |
| 16 | 2008 | 1 | |
| 17 | 2006 | 7 | |
| 18 | 2005 | 28 | |
| 19 | Gene products and structure analysis of wild-type and mutant alleles at the opaque-2 locus of Zea mays | 2002 | 7 |
| 20 | 1991 | 11 |
About Barbara Lazzari
Barbara Lazzari is a scholar working on Cancer Research, Genetics, Reproductive Medicine, Agronomy and Crop Science and Molecular Biology, having authored 79 papers that have together received 1.5k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (9 papers), Reproductive Biology and Fertility (9 papers), Genetic and phenotypic traits in livestock (8 papers), Epigenetics and DNA Methylation (8 papers), MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (6 papers), RNA and protein synthesis mechanisms (5 papers) and Plant Reproductive Biology (5 papers). The work is most often cited by research in Reproductive Medicine (135 citations), Cancer Research (220 citations), Agronomy and Crop Science (110 citations), Genetics (294 citations) and Plant Science (269 citations). Barbara Lazzari has collaborated with scholars based in Italy, Australia and Spain. Frequent co-authors include Emanuele Capra, Alessandra Stella, Paola Cremonesi, F. Pizzi, Marco Rosselli Del Turco, S. Chessa, Bianca Castiglioni, Federica Turri, Matteo Ricchi and Roberta Bordoni. Their work appears in journals such as Scientific Reports, BMC Bioinformatics, BMC Genomics, Frontiers in Genetics 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.