Marialuisa Lavitrano
- Genetics top 1%
- Animal Genetics and Reproduction 24
- Virus-based gene therapy research 12
- Chronic Lymphocytic Leukemia Research 10
- Glioma Diagnosis and Treatment 6
- Molecular Biology top 5%
- CRISPR and Genetic Engineering 25
- Genetics top 5%
- Animal Genetics and Reproduction 24
- Virus-based gene therapy research 12
- Chronic Lymphocytic Leukemia Research 10
- Glioma Diagnosis and Treatment 6
- Reproductive Medicine top 5%
- Cancer Research top 10%
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- Xenotransplantation and immune response 20
- Organ Transplantation Techniques and Outcomes 8
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- Cancer-related Molecular Pathways 11
- Co-authors
- Corrado SpadaforaRoberto GiovannoniMaria Laura BacciMonica ForniSusanna DolciVito Michele FazioAntonella CamaioniMaria Giulia Farace
- Cited by
- GeneticsMolecular Biology
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (2 papers)Journal of Clinical Oncology (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Marialuisa Lavitrano
129 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 130
- Genetics 1.6k
- Molecular Biology 2.3k
- Genetics 241
- Reproductive Medicine 186
- Cancer Research 269
Countries citing papers authored by Marialuisa Lavitrano
This map shows the geographic impact of Marialuisa Lavitrano'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 Marialuisa Lavitrano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marialuisa Lavitrano more than expected).
Fields of papers citing papers by Marialuisa Lavitrano
This network shows the impact of papers produced by Marialuisa Lavitrano. 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 Marialuisa Lavitrano. The network helps show where Marialuisa Lavitrano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marialuisa Lavitrano, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 13 | |
| 13 | 2021 | 49 | |
| 14 | 2020 | 2 | |
| 15 | 2019 | 12 | |
| 16 | 2019 | 21 | |
| 17 | 2018 | 27 | |
| 18 | 2013 | 78 | |
| 19 | CMV-based episomal vector is progressively lost in vivo in multi-gene transgenic pigs produced by SMGT | 2010 | 3 |
| 20 | 2001 | 12 |
About Marialuisa Lavitrano
Marialuisa Lavitrano is a scholar working on Genetics, Genetics and Physiology, having authored 136 papers that have together received 3.5k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (25 papers), Animal Genetics and Reproduction (24 papers), Xenotransplantation and immune response (20 papers), Virus-based gene therapy research (12 papers), Cancer-related Molecular Pathways (11 papers), Chronic Lymphocytic Leukemia Research (10 papers), Organ Transplantation Techniques and Outcomes (8 papers) and Glioma Diagnosis and Treatment (6 papers). The work is most often cited by research in Genetics (1.6k citations), Molecular Biology (2.3k citations) and Genetics (241 citations). Marialuisa Lavitrano has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Corrado Spadafora, Roberto Giovannoni, Maria Laura Bacci, Monica Forni, Susanna Dolci, Vito Michele Fazio, Antonella Camaioni, Maria Giulia Farace, Maria Grazia Cerrito and Barbara Maione. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.
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.