Cristina Mosconi
- Surgery top 2%
- Hepatology top 0.5%
- Endocrinology, Diabetes and Metabolism top 2%
- Pulmonary and Respiratory Medicine top 5%
- Epidemiology top 5%
- Co-authors
- Rita GolfieriMatteo RenzulliAlessandro CucchettiEmanuela GiampalmaAlberta CappelliAntonio Daniele PinnaGuido Di DalmaziValentina Vicennati
- Topics
- Hepatocellular Carcinoma Treatment and Prognosis (38 papers)Cholangiocarcinoma and Gallbladder Cancer Studies (22 papers)Liver Disease and Transplantation (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismRadiology
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Cristina Mosconi
122 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Surgery 1.3k
- Hepatology 1.1k
- Endocrinology, Diabetes and Metabolism 665
- Pulmonary and Respiratory Medicine 616
- Epidemiology 595
Countries citing papers authored by Cristina Mosconi
This map shows the geographic impact of Cristina Mosconi'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 Cristina Mosconi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Mosconi more than expected).
Fields of papers citing papers by Cristina Mosconi
This network shows the impact of papers produced by Cristina Mosconi. 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 Cristina Mosconi. The network helps show where Cristina Mosconi may publish in the future.
Co-authorship network of co-authors of Cristina Mosconi
This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Mosconi. A scholar is included among the top collaborators of Cristina Mosconi 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 Cristina Mosconi. Cristina Mosconi 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 15 | |
| 14 | 6 | |
| 15 | 9 | |
| 16 | 1 | |
| 17 | 59 | |
| 18 | 2 | |
| 19 | 9 | |
| 20 | Progressively increased patterns of subclinical cortisol hypersecretion in adrenal incidentalomas differently predict major metabolic and cardiovascular outcomes: a large cross-sectional study | 1 |
About Cristina Mosconi
Cristina Mosconi is a scholar working on Hepatology, Surgery and Pulmonary and Respiratory Medicine, having authored 136 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (38 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (22 papers) and Liver Disease and Transplantation (16 papers). The work is most often cited by research in Hepatology (1.1k citations), Endocrinology, Diabetes and Metabolism (665 citations) and Surgery (1.3k citations). Cristina Mosconi has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Rita Golfieri, Matteo Renzulli, Alessandro Cucchetti, Emanuela Giampalma, Alberta Cappelli, Antonio Daniele Pinna, Guido Di Dalmazi, Valentina Vicennati, Uberto Pagotto and Renato Pasquali. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Radiology.
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.