Michael V.G. Latronico
- Molecular Biology top 2%
- Cancer Research top 1%
- Surgery top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Genetics top 1%
- Co-authors
- Gianluigi CondorelliDaniele CatalucciElena CavarrettaGiacomo FratiGiulio CossuLuciana De AngelisE. VivarelliFabio Fiordaliso
- Topics
- MicroRNA in disease regulation (12 papers)Circular RNAs in diseases (10 papers)Diabetes and associated disorders (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Michael V.G. Latronico
52 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 3.7k
- Cancer Research 1.6k
- Surgery 1.5k
- Cardiology and Cardiovascular Medicine 1.1k
- Genetics 603
Countries citing papers authored by Michael V.G. Latronico
This map shows the geographic impact of Michael V.G. Latronico'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 Michael V.G. Latronico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael V.G. Latronico more than expected).
Fields of papers citing papers by Michael V.G. Latronico
This network shows the impact of papers produced by Michael V.G. Latronico. 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 Michael V.G. Latronico. The network helps show where Michael V.G. Latronico may publish in the future.
Co-authorship network of co-authors of Michael V.G. Latronico
This figure shows the co-authorship network connecting the top 25 collaborators of Michael V.G. Latronico. A scholar is included among the top collaborators of Michael V.G. Latronico 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 Michael V.G. Latronico. Michael V.G. Latronico is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 306 | |
| 2 | 90 | |
| 3 | 45 | |
| 4 | 55 | |
| 5 | 253 | |
| 6 | 34 | |
| 7 | 272 | |
| 8 | 8 | |
| 9 | 447 | |
| 10 | 61 | |
| 11 | 135 | |
| 12 | 21 | |
| 13 | 17 | |
| 14 | 28 | |
| 15 | 103 | |
| 16 | 18 | |
| 17 | Nuclear Ras: Unexpected subcellular distribution of oncogenic forms | 2 |
| 18 | 17 | |
| 19 | 5 | |
| 20 | 15 |
About Michael V.G. Latronico
Michael V.G. Latronico is a scholar working on Cancer Research, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 53 papers that have together received 5.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (12 papers), Circular RNAs in diseases (10 papers) and Diabetes and associated disorders (7 papers). The work is most often cited by research in Cancer Research (1.6k citations), Genetics (603 citations) and Molecular Biology (3.7k citations). Michael V.G. Latronico has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Gianluigi Condorelli, Daniele Catalucci, Elena Cavarretta, Giacomo Frati, Giulio Cossu, Luciana De Angelis, E. Vivarelli, Fabio Fiordaliso, Luigi Frati and Elisa Messina. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.