Vincenzo Nigro
- Molecular Biology top 1%
- Genetics top 1%
- Cardiology and Cardiovascular Medicine top 1%
- Cellular and Molecular Neuroscience top 1%
- Cell Biology top 1%
- Co-authors
- Giulio PilusoAntonio SimeoneDario AcamporaMarco SavareseLuisa PolitanoAnna StornaiuoloMaria Rosaria D’ApiceEdoardo Boncinelli
- Topics
- Muscle Physiology and Disorders (78 papers)Cardiomyopathy and Myosin Studies (44 papers)Genetic Neurodegenerative Diseases (27 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Vincenzo Nigro
216 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Molecular Biology 5.7k
- Genetics 1.5k
- Cardiology and Cardiovascular Medicine 1.3k
- Cellular and Molecular Neuroscience 1.3k
- Cell Biology 922
Countries citing papers authored by Vincenzo Nigro
This map shows the geographic impact of Vincenzo Nigro'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 Vincenzo Nigro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincenzo Nigro more than expected).
Fields of papers citing papers by Vincenzo Nigro
This network shows the impact of papers produced by Vincenzo Nigro. 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 Vincenzo Nigro. The network helps show where Vincenzo Nigro may publish in the future.
Co-authorship network of co-authors of Vincenzo Nigro
This figure shows the co-authorship network connecting the top 25 collaborators of Vincenzo Nigro. A scholar is included among the top collaborators of Vincenzo Nigro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vincenzo Nigro. Vincenzo Nigro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 24 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 8 | |
| 16 | 4 | |
| 17 | 7 | |
| 18 | 29 | |
| 19 | 22 | |
| 20 | 4 |
About Vincenzo Nigro
Vincenzo Nigro is a scholar working on Genetics, Genetics and Molecular Biology, having authored 224 papers that have together received 7.1k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (78 papers), Cardiomyopathy and Myosin Studies (44 papers) and Genetic Neurodegenerative Diseases (27 papers). The work is most often cited by research in Molecular Biology (5.7k citations), Cellular and Molecular Neuroscience (1.3k citations) and Genetics (659 citations). Vincenzo Nigro has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Giulio Piluso, Antonio Simeone, Dario Acampora, Marco Savarese, Luisa Politano, Anna Stornaiuolo, Maria Rosaria D’Apice, Edoardo Boncinelli, A. Faiella and Stefania Aurino. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.