Giorgio Lagna
- Molecular Biology top 1%
- Cancer Research top 0.5%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Genetics top 5%
- Co-authors
- Akiko HataBrandi N. Davis‐DusenberyAli Hemmati‐BrivanlouJoan MassaguéPeter NguyenAtsushi SuzukiPaul A. WilsonMun Chun Chan
- Topics
- TGF-β signaling in diseases (10 papers)Pulmonary Hypertension Research and Treatments (10 papers)MicroRNA in disease regulation (8 papers)
- Journals
- NatureCellNucleic Acids Research
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Giorgio Lagna
39 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 4.5k
- Cancer Research 1.8k
- Oncology 573
- Pulmonary and Respiratory Medicine 446
- Genetics 406
Countries citing papers authored by Giorgio Lagna
This map shows the geographic impact of Giorgio Lagna'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 Giorgio Lagna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giorgio Lagna more than expected).
Fields of papers citing papers by Giorgio Lagna
This network shows the impact of papers produced by Giorgio Lagna. 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 Giorgio Lagna. The network helps show where Giorgio Lagna may publish in the future.
Co-authorship network of co-authors of Giorgio Lagna
This figure shows the co-authorship network connecting the top 25 collaborators of Giorgio Lagna. A scholar is included among the top collaborators of Giorgio Lagna 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 Giorgio Lagna. Giorgio Lagna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 22 | |
| 8 | 32 | |
| 9 | 31 | |
| 10 | 34 | |
| 11 | 47 | |
| 12 | 84 | |
| 13 | 170 | |
| 14 | 29 | |
| 15 | SMAD proteins control DROSHA-mediated microRNA maturationbreakdown → | 1049 |
| 16 | 108 | |
| 17 | 142 | |
| 18 | 361 | |
| 19 | 9 | |
| 20 | Partnership between DPC4 and SMAD proteins in TGF-β signalling pathwaysbreakdown → | 792 |
About Giorgio Lagna
Giorgio Lagna is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 41 papers that have together received 5.3k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (10 papers), Pulmonary Hypertension Research and Treatments (10 papers) and MicroRNA in disease regulation (8 papers). The work is most often cited by research in Cancer Research (1.8k citations), Molecular Biology (4.5k citations) and Oncology (573 citations). Giorgio Lagna has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Akiko Hata, Brandi N. Davis‐Dusenbery, Ali Hemmati‐Brivanlou, Joan Massagué, Peter Nguyen, Atsushi Suzuki, Paul A. Wilson, Mun Chun Chan, David Wotton and Roger S. Lo. Their work appears in journals such as Nature, Cell and Nucleic Acids Research.
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.