Matteo Marconi
- Molecular Biology
- Epidemiology top 10%
- Hepatology top 5%
- Surgery
- Oncology
- Co-authors
- Walter MalorniPaola MatarreseTina GarofaloMaurizio SoriceGuido TorzilliMarco MontorsiDaniele Del FabbroValeria Manganelli
- Topics
- Hepatocellular Carcinoma Treatment and Prognosis (9 papers)Autophagy in Disease and Therapy (7 papers)LGBTQ Health, Identity, and Policy (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaGastroenterologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- ItalyUnited StatesAustralia
In The Last Decade
Matteo Marconi
40 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 486
- Epidemiology 337
- Hepatology 256
- Surgery 242
- Oncology 201
Countries citing papers authored by Matteo Marconi
This map shows the geographic impact of Matteo Marconi'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 Matteo Marconi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Marconi more than expected).
Fields of papers citing papers by Matteo Marconi
This network shows the impact of papers produced by Matteo Marconi. 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 Matteo Marconi. The network helps show where Matteo Marconi may publish in the future.
Co-authorship network of co-authors of Matteo Marconi
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Marconi. A scholar is included among the top collaborators of Matteo Marconi 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 Matteo Marconi. Matteo Marconi 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 | 1 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 55 | |
| 6 | Gender differences in covid-19: The importance of sex-disaggregated data | 3 |
| 7 | 50 | |
| 8 | Biomedical issues in transgender health research | 1 |
| 9 | 19 | |
| 10 | 10 | |
| 11 | 208 | |
| 12 | 9 | |
| 13 | 20 | |
| 14 | 37 | |
| 15 | 15 | |
| 16 | 13 | |
| 17 | 11 | |
| 18 | 27 | |
| 19 | 7 | |
| 20 | Non-invasive antiarrhythmic and hemodynamic assessment of intravenous and oral pentisomide (CM 7857) | 0 |
About Matteo Marconi
Matteo Marconi is a scholar working on Hepatology, Critical Care and Intensive Care Medicine and Aging, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Autophagy in Disease and Therapy (7 papers) and LGBTQ Health, Identity, and Policy (6 papers). The work is most often cited by research in Hepatology (256 citations), Cancer Research (170 citations) and Epidemiology (337 citations). Matteo Marconi has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Walter Malorni, Paola Matarrese, Tina Garofalo, Maurizio Sorice, Guido Torzilli, Marco Montorsi, Daniele Del Fabbro, Valeria Manganelli, Angela Palmisano and Matteo Donadon. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and The Journal of Clinical Endocrinology & Metabolism.
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.