Vincenzo Lagani
- Co-authors
- Ioannis TsamardinosAlberto MontesantoMichail TsagrisGiuseppe PassarinoFranco ChiarugiSerena DatoKaare ChristensenLoris Pignolo
- Topics
- Gene expression and cancer classification (15 papers)Bioinformatics and Genomic Networks (11 papers)Single-cell and spatial transcriptomics (8 papers)
- Journals
- Nucleic Acids ResearchJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- GreeceGeorgiaSaudi Arabia
In The Last Decade
Vincenzo Lagani
65 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 155
- Molecular Biology 430
- Artificial Intelligence 205
- Physiology 138
- Genetics 112
- Epidemiology 104
Countries citing papers authored by Vincenzo Lagani
This map shows the geographic impact of Vincenzo Lagani'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 Lagani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincenzo Lagani more than expected).
Fields of papers citing papers by Vincenzo Lagani
This network shows the impact of papers produced by Vincenzo Lagani. 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 Lagani. The network helps show where Vincenzo Lagani may publish in the future.
Co-authorship network of co-authors of Vincenzo Lagani
This figure shows the co-authorship network connecting the top 25 collaborators of Vincenzo Lagani. A scholar is included among the top collaborators of Vincenzo Lagani 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 Lagani. Vincenzo Lagani 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 | 0 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 13 | |
| 6 | 10 | |
| 7 | 36 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 26 | |
| 11 | 9 | |
| 12 | 46 | |
| 13 | 11 | |
| 14 | 47 | |
| 15 | 0 | |
| 16 | 21 | |
| 17 | 22 | |
| 18 | Risk Assessment Models for Diabetes Complications: A Survey of Available Online Tools | 1 |
| 19 | A constraint-based approach to incorporate prior knowledge in causal models | 8 |
| 20 | 59 |
About Vincenzo Lagani
Vincenzo Lagani is a scholar working on Health Information Management, Aging and Biophysics, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gene expression and cancer classification (15 papers), Bioinformatics and Genomic Networks (11 papers) and Single-cell and spatial transcriptomics (8 papers). The work is most often cited by research in Aging (36 citations), Health Information Management (69 citations) and Geriatrics and Gerontology (54 citations). Vincenzo Lagani has collaborated with scholars based in Greece, Georgia and Saudi Arabia. Frequent co-authors include Ioannis Tsamardinos, Alberto Montesanto, Michail Tsagris, Giuseppe Passarino, Franco Chiarugi, Serena Dato, Kaare Christensen, Loris Pignolo, G Dolce and Alessio Farcomeni. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.