Francesco Molina
- Molecular Biology
- Rehabilitation top 2%
- Radiology, Nuclear Medicine and Imaging
- Biomaterials
- Oncology
- Co-authors
- Michele De LucaRanieri CanceddaSergio BondanzaMaurizio StellaG. MagliacaniMatteo MegnaLuis UgozzoliArmando Negri
- Topics
- Genetic factors in colorectal cancer (3 papers)Cell Adhesion Molecules Research (3 papers)Corneal Surgery and Treatments (2 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Francesco Molina
17 papers receiving 506 citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 208
- Rehabilitation 168
- Radiology, Nuclear Medicine and Imaging 94
- Biomaterials 79
- Oncology 78
Countries citing papers authored by Francesco Molina
This map shows the geographic impact of Francesco Molina'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 Francesco Molina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Molina more than expected).
Fields of papers citing papers by Francesco Molina
This network shows the impact of papers produced by Francesco Molina. 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 Francesco Molina. The network helps show where Francesco Molina may publish in the future.
Co-authorship network of co-authors of Francesco Molina
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Molina. A scholar is included among the top collaborators of Francesco Molina 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 Francesco Molina. Francesco Molina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 22 | |
| 3 | 3 | |
| 4 | Analysis of 1930 bedridden patients in the internal medical sector of the emergency department of a large city hospital: appropriate and non-appropriate admission. | 4 |
| 5 | 5 | |
| 6 | 37 | |
| 7 | 24 | |
| 8 | 1 | |
| 9 | 58 | |
| 10 | Mutational fingerprint induced by the antineoplastic drug chloroethyl-cyclohexyl-nitrosourea in mammalian cells. | 14 |
| 11 | 25 | |
| 12 | 1 | |
| 13 | 38 | |
| 14 | 12 | |
| 15 | 9 | |
| 16 | 41 | |
| 17 | 224 |
About Francesco Molina
Francesco Molina is a scholar working on Structural Biology, Immunology and Allergy and Biochemistry, having authored 17 papers that have together received 520 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (3 papers), Cell Adhesion Molecules Research (3 papers) and Corneal Surgery and Treatments (2 papers). The work is most often cited by research in Rehabilitation (168 citations), Immunology and Allergy (45 citations) and Biomaterials (79 citations). Francesco Molina has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Michele De Luca, Ranieri Cancedda, Sergio Bondanza, Maurizio Stella, G. Magliacani, Matteo Megna, Luis Ugozzoli, Armando Negri, Fiorella Descalzi Cancedda and Raffaella Iannone. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Molecular Biology.
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.