Roberto Fagnani
- Immunology top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Cellular and Molecular Neuroscience
- Oncology
- Co-authors
- Guy D. BonnardH. David KayMarston ManthorpeSilvio VaronStephen D. SkaperAngela SantoniJulie Y. DjeuJohn R. Ortaldo
- Topics
- Monoclonal and Polyclonal Antibodies Research (5 papers)Glycosylation and Glycoproteins Research (3 papers)Protein purification and stability (3 papers)
- Partner nations
- United StatesItaly
In The Last Decade
Roberto Fagnani
13 papers receiving 714 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Immunology 389
- Molecular Biology 212
- Radiology, Nuclear Medicine and Imaging 125
- Cellular and Molecular Neuroscience 97
- Oncology 97
Countries citing papers authored by Roberto Fagnani
This map shows the geographic impact of Roberto Fagnani'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 Roberto Fagnani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Fagnani more than expected).
Fields of papers citing papers by Roberto Fagnani
This network shows the impact of papers produced by Roberto Fagnani. 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 Roberto Fagnani. The network helps show where Roberto Fagnani may publish in the future.
Co-authorship network of co-authors of Roberto Fagnani
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Fagnani. A scholar is included among the top collaborators of Roberto Fagnani 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 Roberto Fagnani. Roberto Fagnani 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 | Degree of polymer organization decreases the binding of a monoclonal antibody raised against the beta-chain amino terminus of fibrin. | 13 |
| 3 | 13 | |
| 4 | 19 | |
| 5 | 12 | |
| 6 | 3 | |
| 7 | 12 | |
| 8 | Reduction of immunogenicity by covalent modification of murine and rabbit immunoglobulins with oxidized dextrans of low molecular weight. | 23 |
| 9 | 8 | |
| 10 | 201 | |
| 11 | 3 | |
| 12 | 18 | |
| 13 | Natural Killer Cells: Characteristics and Regulation of Activitybreakdown → | 444 |
| 14 | 28 |
About Roberto Fagnani
Roberto Fagnani is a scholar working on Biotechnology, Internal Medicine and Developmental Neuroscience, having authored 14 papers that have together received 797 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Protein purification and stability (3 papers). The work is most often cited by research in Immunology (389 citations), Developmental Neuroscience (41 citations) and Internal Medicine (34 citations). Roberto Fagnani has collaborated with scholars based in United States and Italy. Frequent co-authors include Guy D. Bonnard, H. David Kay, Marston Manthorpe, Silvio Varon, Stephen D. Skaper, Angela Santoni, Julie Y. Djeu, John R. Ortaldo, Carlo Riccardi and Howard T. Holden. Their work appears in journals such as Circulation, Analytical Biochemistry and Brain Research.
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.