Elena Alfani
- Genetics top 5%
- Molecular Biology
- Hematology top 5%
- Immunology
- Epidemiology
- Co-authors
- Anna Ritá MigliaccioGiovanni MigliaccioAlessandro M. VannucchiFrancesco PaolettiG. CarloniLucia BianchiR LorenziniAngela Di Baldassarre
- Topics
- Immune Cell Function and Interaction (8 papers)T-cell and B-cell Immunology (6 papers)Immunotherapy and Immune Responses (4 papers)
- Cited by
- GeneticsHematologyHepatology
- Partner nations
- ItalyUnited StatesAustria
In The Last Decade
Elena Alfani
24 papers receiving 454 citations
Peers
Comparison fields: 5 of 61
- Genetics 191
- Molecular Biology 189
- Hematology 183
- Immunology 71
- Epidemiology 68
Countries citing papers authored by Elena Alfani
This map shows the geographic impact of Elena Alfani'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 Elena Alfani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Alfani more than expected).
Fields of papers citing papers by Elena Alfani
This network shows the impact of papers produced by Elena Alfani. 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 Elena Alfani. The network helps show where Elena Alfani may publish in the future.
Co-authorship network of co-authors of Elena Alfani
This figure shows the co-authorship network connecting the top 25 collaborators of Elena Alfani. A scholar is included among the top collaborators of Elena Alfani 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 Elena Alfani. Elena Alfani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 11 | |
| 3 | 11 | |
| 4 | 9 | |
| 5 | 27 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 24 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | Human hepatoma cells expressing MHC antigens display accessory cell function: dependence on LFA-1/ICAM-1 interaction. | 13 |
| 12 | 9 | |
| 13 | 2 | |
| 14 | 7 | |
| 15 | 59 | |
| 16 | Human hepatoma cells expressing HLA class I molecules stimulate primary responses of purified CD8+ T lymphocytes. | 2 |
| 17 | Co-amplification of transcriptionally active epidermal growth factor receptor and ribosomal genes in the human hepatoma cell line Li7A. | 11 |
| 18 | 8 | |
| 19 | 15 | |
| 20 | 22 |
About Elena Alfani
Elena Alfani is a scholar working on Genetics, Hematology and Virology, having authored 24 papers that have together received 460 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Genetics (191 citations), Hematology (183 citations) and Hepatology (43 citations). Elena Alfani has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Anna Ritá Migliaccio, Giovanni Migliaccio, Alessandro M. Vannucchi, Francesco Paoletti, G. Carloni, Lucia Bianchi, R Lorenzini, Angela Di Baldassarre, Alessandro Pancrazzi and Massimo Sanchez. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and FEBS Letters.
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.