Francesca Benevento
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis 14
- Liver physiology and pathology 3
- Liver Disease and Transplantation 2
- Genetics top 5%
- Cancer Research top 10%
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- Lung Cancer Treatments and Mutations 2
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- Cancer Mechanisms and Therapy 5
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- Liver Disease Diagnosis and Treatment 5
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- Colorectal Cancer Treatments and Studies 3
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- Radiomics and Machine Learning in Medical Imaging 1
- Co-authors
- Fabio PiscagliaAlessandro GranitoSara MarinelliFrancesco TovoliMatteo RenzulliLuigi BolondiGiulia NegriniAlicia Tosoni
- Cited by
- HepatologyGeneticsCancer Research
- Journals
- SHILAP Revista de lepidopterología (2 papers)Cancer (1 paper)Cancer Research (1 paper)
- Partner nations
- ItalyRomaniaUnited Kingdom
In The Last Decade
Francesca Benevento
19 papers receiving 695 citations
Peers
Comparison fields: 5 of 65
- Hepatology 299
- Genetics 174
- Cancer Research 161
- Pulmonary and Respiratory Medicine 215
- Pathology and Forensic Medicine 102
Countries citing papers authored by Francesca Benevento
This map shows the geographic impact of Francesca Benevento'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 Francesca Benevento with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Benevento more than expected).
Fields of papers citing papers by Francesca Benevento
This network shows the impact of papers produced by Francesca Benevento. 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 Francesca Benevento. The network helps show where Francesca Benevento may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Francesca Benevento, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2021 | 26 | |
| 3 | 2021 | 100 | |
| 4 | 2021 | 1 | |
| 5 | 2020 | 50 | |
| 6 | 2020 | 15 | |
| 7 | 2020 | 1 | |
| 8 | 2020 | 3 | |
| 9 | 2019 | 18 | |
| 10 | 2018 | 7 | |
| 11 | 2018 | 56 | |
| 12 | 2018 | 31 | |
| 13 | 2017 | 9 | |
| 14 | 2017 | 3 | |
| 15 | 2017 | 10 | |
| 16 | 2015 | 65 | |
| 17 | 2015 | 71 | |
| 18 | 2014 | 49 | |
| 19 | 2009 | 181 |
About Francesca Benevento
Francesca Benevento is a scholar working on Hepatology, Pathology and Forensic Medicine and Internal Medicine, having authored 19 papers that have together received 699 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (14 papers), Cancer Mechanisms and Therapy (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Liver physiology and pathology (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Liver Disease and Transplantation (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Hepatology (299 citations), Genetics (174 citations) and Cancer Research (161 citations). Francesca Benevento has collaborated with scholars based in Italy, Romania and United Kingdom. Frequent co-authors include Fabio Piscaglia, Alessandro Granito, Sara Marinelli, Francesco Tovoli, Matteo Renzulli, Luigi Bolondi, Giulia Negrini, Alicia Tosoni, R. Agati and Alba A. Brandes. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer and Cancer 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.