F. Scatena
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Diabetes and associated disorders
- Transplantation top 10%
Papers in
- Immunology 16
- T-cell and B-cell Immunology 15
- Immune Cell Function and Interaction 9
- Immunotherapy and Immune Responses 9
- Surgery 6
- Tissue Engineering and Regenerative Medicine 2
- Co-authors
- Renato Vanacore (7 shared papers)Stefano Petruzzelli (1 shared paper)Alessandro Celi (1 shared paper)Monica Cipollini (1 shared paper)S. Carnevali (1 shared paper)Biancamaria Longoni (1 shared paper)Pierluigi Paggiaro (1 shared paper)Carlo Giuntini (1 shared paper)
- Journals
- HLA (3 papers)Cytotherapy (2 papers)International Journal of Immunogenetics (1 paper)PLoS ONE (1 paper)American Journal of Physiology-Lung Cellular and Molecular Physiology (1 paper)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
F. Scatena
31 papers receiving 680 citations
Peers
Comparison fields: 5 of 92
- Genetics 119
- Transplantation 29
- Surgery 183
- Cancer Research 63
- Hematology 48
Countries citing papers authored by F. Scatena
This map shows the geographic impact of F. Scatena'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 F. Scatena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Scatena more than expected).
Fields of papers citing papers by F. Scatena
This network shows the impact of papers produced by F. Scatena. 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 F. Scatena. The network helps show where F. Scatena may publish in the future.
Co-authors
The 25 scholars most cited alongside F. Scatena, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 236 | |
| 2 | 2013 | 108 | |
| 3 | 2013 | 67 | |
| 4 | 2008 | 45 | |
| 5 | 2008 | 35 | |
| 6 | 2004 | 34 | |
| 7 | 2014 | 23 | |
| 8 | 2011 | 18 | |
| 9 | 2010 | 18 | |
| 10 | 2011 | 17 | |
| 11 | 2007 | 14 | |
| 12 | 2018 | 13 | |
| 13 | 2018 | 12 | |
| 14 | 2004 | 8 | |
| 15 | 2014 | 6 | |
| 16 | 2009 | 6 | |
| 17 | 2002 | 5 | |
| 18 | 2004 | 4 | |
| 19 | 2014 | 4 | |
| 20 | 2003 | 4 |
About F. Scatena
F. Scatena is a scholar working on Immunology, Surgery, Genetics, Hematology and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 702 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (15 papers), Immune Cell Function and Interaction (9 papers), Immunotherapy and Immune Responses (9 papers), Hematopoietic Stem Cell Transplantation (4 papers), Mesenchymal stem cell research (4 papers), Diabetes and associated disorders (2 papers), Liver Disease and Transplantation (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Genetics (119 citations), Transplantation (29 citations), Surgery (183 citations), Cancer Research (63 citations) and Hematology (48 citations). F. Scatena has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Renato Vanacore, Stefano Petruzzelli, Alessandro Celi, Monica Cipollini, S. Carnevali, Biancamaria Longoni, Pierluigi Paggiaro, Carlo Giuntini, Roberto Barale and Michele Curcio. Their work appears in journals such as HLA, Cytotherapy, International Journal of Immunogenetics, PLoS ONE and American Journal of Physiology-Lung Cellular and Molecular Physiology.
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.