Calogero Cammà
- Epidemiology top 0.1%
- Hepatology top 0.05%
- Surgery top 1%
- Oncology top 2%
- Pathology and Forensic Medicine top 1%
- Co-authors
- Antonio Craxı̀V. Di MarcoSalvatore PettaMario CottoneMarco GiuntaDaniela CabibiMarco EneaGiuseppe Cabibbo
- Topics
- Liver Disease Diagnosis and Treatment (175 papers)Hepatitis C virus research (105 papers)Hepatocellular Carcinoma Treatment and Prognosis (53 papers)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Calogero Cammà
259 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Epidemiology 8.4k
- Hepatology 7.5k
- Surgery 2.3k
- Oncology 1.3k
- Pathology and Forensic Medicine 1.2k
Countries citing papers authored by Calogero Cammà
This map shows the geographic impact of Calogero Cammà'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 Calogero Cammà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Calogero Cammà more than expected).
Fields of papers citing papers by Calogero Cammà
This network shows the impact of papers produced by Calogero Cammà. 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 Calogero Cammà. The network helps show where Calogero Cammà may publish in the future.
Co-authorship network of co-authors of Calogero Cammà
This figure shows the co-authorship network connecting the top 25 collaborators of Calogero Cammà. A scholar is included among the top collaborators of Calogero Cammà 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 Calogero Cammà. Calogero Cammà is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 17 | |
| 8 | 4 | |
| 9 | 16 | |
| 10 | 57 | |
| 11 | 20 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | Clinical and virological predictors of sustained response with an interferon-based simeprevir regimen for patients with chronic genotype 1 hepatitis C virus infection. | 4 |
| 16 | Steatosis affects the performance of liver stiffness measurement for fibrosis assessment in patients with genotype 1 chronic hepatitis C | 2 |
| 17 | The complex interplay between vitamin D deficiency and diabetes | 1 |
| 18 | 1 | |
| 19 | 187 | |
| 20 | COMMUNITY-ACQUIRED CHRONIC HEPATITIS-C IN AN AREA OF HIGH SEROTYPE-1 ENDEMICITY - INTERFERON FOR 6 OR 12 MONTHS | 2 |
About Calogero Cammà
Calogero Cammà is a scholar working on Hepatology, Epidemiology and Gastroenterology, having authored 271 papers that have together received 12.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (175 papers), Hepatitis C virus research (105 papers) and Hepatocellular Carcinoma Treatment and Prognosis (53 papers). The work is most often cited by research in Hepatology (7.5k citations), Epidemiology (8.4k citations) and Endocrinology, Diabetes and Metabolism (1.1k citations). Calogero Cammà has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Antonio Craxı̀, V. Di Marco, Salvatore Petta, Mario Cottone, Marco Giunta, Daniela Cabibi, Marco Enea, Giuseppe Cabibbo, Anna Licata and Pietro Andreoné. Their work appears in journals such as JAMA, Journal of Clinical Oncology and Annals of Internal Medicine.
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.