Margherita Macera
- Epidemiology top 5%
- Hepatology top 1%
- Infectious Diseases
- Molecular Biology
- Applied Microbiology and Biotechnology top 2%
- Co-authors
- Nicola CoppolaEvangelista SagnelliCaterina SagnelliMariantonietta PisaturoAntonio RussoLorenzo OnoratoRosa ZampinoLoredana Alessio
- Topics
- Hepatitis C virus research (37 papers)Liver Disease Diagnosis and Treatment (33 papers)Hepatitis B Virus Studies (32 papers)
- Partner nations
- ItalyUnited StatesAmerican Samoa
In The Last Decade
Margherita Macera
55 papers receiving 955 citations
Peers
Comparison fields: 5 of 95
- Epidemiology 627
- Hepatology 566
- Infectious Diseases 111
- Molecular Biology 91
- Applied Microbiology and Biotechnology 79
Countries citing papers authored by Margherita Macera
This map shows the geographic impact of Margherita Macera'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 Margherita Macera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margherita Macera more than expected).
Fields of papers citing papers by Margherita Macera
This network shows the impact of papers produced by Margherita Macera. 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 Margherita Macera. The network helps show where Margherita Macera may publish in the future.
Co-authorship network of co-authors of Margherita Macera
This figure shows the co-authorship network connecting the top 25 collaborators of Margherita Macera. A scholar is included among the top collaborators of Margherita Macera 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 Margherita Macera. Margherita Macera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 16 | |
| 5 | 1 | |
| 6 | 31 | |
| 7 | 13 | |
| 8 | 33 | |
| 9 | 39 | |
| 10 | Epidemiology and risk factors for hepatitis C virus genotypes in a high prevalence region in Italy. | 18 |
| 11 | No effect of MTP polymorphisms on PNPLA3 in HCV-correlated steatosis. | 3 |
| 12 | 2 | |
| 13 | 37 | |
| 14 | 11 | |
| 15 | 9 | |
| 16 | 16 | |
| 17 | 47 | |
| 18 | 7 | |
| 19 | 13 | |
| 20 | 32 |
About Margherita Macera
Margherita Macera is a scholar working on Hepatology, Applied Microbiology and Biotechnology and Epidemiology, having authored 60 papers that have together received 987 indexed citations. Recurring topics across this work include Hepatitis C virus research (37 papers), Liver Disease Diagnosis and Treatment (33 papers) and Hepatitis B Virus Studies (32 papers). The work is most often cited by research in Hepatology (566 citations), Applied Microbiology and Biotechnology (79 citations) and Epidemiology (627 citations). Margherita Macera has collaborated with scholars based in Italy, United States and American Samoa. Frequent co-authors include Nicola Coppola, Evangelista Sagnelli, Caterina Sagnelli, Mariantonietta Pisaturo, Antonio Russo, Lorenzo Onorato, Rosa Zampino, Loredana Alessio, Luigi Elio Adinolfi and Aldo Marrone. Their work appears in journals such as Gastroenterology, PLoS ONE and Journal of Hepatology.
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.