Lorena Buono
Impact in
- Pharmacology top 5%
- Cannabis and Cannabinoid Research
- Sensory Systems top 10%
- Ion Channels and Receptors
Papers in
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- Retinal Development and Disorders 3
- CRISPR and Genetic Engineering 3
- Glycosylation and Glycoproteins Research 2
- Single-cell and spatial transcriptomics 2
- Genomics and Phylogenetic Studies 2
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- Zebrafish Biomedical Research Applications 5
- Hippo pathway signaling and YAP/TAZ 2
- Co-authors
- Pierangelo Orlando (7 shared papers)Francesca Borrelli (5 shared papers)Angelo A. Izzo (5 shared papers)Ester Pagano (4 shared papers)Vincenzo Di Marzo (5 shared papers)Barbara Romano (2 shared papers)Francesco Maiello (1 shared paper)Luciano De Petrocellis (1 shared paper)
In The Last Decade
Lorena Buono
25 papers receiving 567 citations
Peers
Comparison fields: 5 of 91
- Pharmacology 269
- Sensory Systems 40
- Endocrine and Autonomic Systems 46
- Toxicology 21
- Endocrinology, Diabetes and Metabolism 53
Countries citing papers authored by Lorena Buono
This map shows the geographic impact of Lorena Buono'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 Lorena Buono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorena Buono more than expected).
Fields of papers citing papers by Lorena Buono
This network shows the impact of papers produced by Lorena Buono. 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 Lorena Buono. The network helps show where Lorena Buono may publish in the future.
Co-authors
The 25 scholars most cited alongside Lorena Buono, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 187 | |
| 2 | 2014 | 82 | |
| 3 | 2016 | 73 | |
| 4 | 2017 | 55 | |
| 5 | 2014 | 27 | |
| 6 | 2019 | 18 | |
| 7 | 2020 | 16 | |
| 8 | 2018 | 15 | |
| 9 | 2020 | 13 | |
| 10 | 2021 | 13 | |
| 11 | 2016 | 11 | |
| 12 | 2019 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2020 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2025 | 3 |
About Lorena Buono
Lorena Buono is a scholar working on Molecular Biology, Cell Biology, Pharmacology, Endocrine and Autonomic Systems and Immunology, having authored 25 papers that have together received 578 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (5 papers), Zebrafish Biomedical Research Applications (5 papers), Retinal Development and Disorders (3 papers), CRISPR and Genetic Engineering (3 papers), Glycosylation and Glycoproteins Research (2 papers), Single-cell and spatial transcriptomics (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Pharmacology (269 citations), Sensory Systems (40 citations), Endocrine and Autonomic Systems (46 citations), Toxicology (21 citations) and Endocrinology, Diabetes and Metabolism (53 citations). Lorena Buono has collaborated with scholars based in Italy, Spain and Germany. Frequent co-authors include Pierangelo Orlando, Francesca Borrelli, Angelo A. Izzo, Ester Pagano, Vincenzo Di Marzo, Barbara Romano, Francesco Maiello, Luciano De Petrocellis, Diana Coppola and Raffaele Capasso. Their work appears in journals such as Nature Communications, Frontiers in Oncology, Development, eLife and Biochemical Pharmacology.
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.