Francesco Marass
- Cancer Research top 1%
- Pulmonary and Respiratory Medicine top 2%
- Molecular Biology top 10%
- Oncology top 5%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Nitzan RosenfeldJames D. BrentonDana W.Y. TsuiTim ForshewDavina GaleMuhammed MurtazaCarlos CaldasSarah‐Jane Dawson
- Topics
- Cancer Genomics and Diagnostics (17 papers)Genetic factors in colorectal cancer (4 papers)Genomics and Phylogenetic Studies (4 papers)
- Journals
- NatureThe LancetNature Genetics
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Francesco Marass
18 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Cancer Research 1.6k
- Pulmonary and Respiratory Medicine 861
- Molecular Biology 848
- Oncology 834
- Pathology and Forensic Medicine 362
Countries citing papers authored by Francesco Marass
This map shows the geographic impact of Francesco Marass'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 Marass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Marass more than expected).
Fields of papers citing papers by Francesco Marass
This network shows the impact of papers produced by Francesco Marass. 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 Marass. The network helps show where Francesco Marass may publish in the future.
Co-authorship network of co-authors of Francesco Marass
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Marass. A scholar is included among the top collaborators of Francesco Marass 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 Marass. Francesco Marass 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 | 0 | |
| 3 | 0 | |
| 4 | 12 | |
| 5 | 35 | |
| 6 | 2 | |
| 7 | 68 | |
| 8 | 84 | |
| 9 | 117 | |
| 10 | 52 | |
| 11 | 84 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 259 | |
| 15 | 30 | |
| 16 | Non-invasive analysis of acquired resistance to cancer therapy by sequencing of plasma DNAbreakdown → | 1219 |
| 17 | 106 | |
| 18 | 38 | |
| 19 | 2 | |
| 20 | 11 |
About Francesco Marass
Francesco Marass is a scholar working on Cancer Research, Oncology and Reproductive Medicine, having authored 20 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (17 papers), Genetic factors in colorectal cancer (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Cancer Research (1.6k citations), Oncology (834 citations) and Pulmonary and Respiratory Medicine (861 citations). Francesco Marass has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Nitzan Rosenfeld, James D. Brenton, Dana W.Y. Tsui, Tim Forshew, Davina Gale, Muhammed Murtaza, Carlos Caldas, Sarah‐Jane Dawson, Christine Parkinson and Tan Min Chin. Their work appears in journals such as Nature, The Lancet and Nature Genetics.
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.