Suzanne Bertera
Impact in
- Surgery top 1%
- Pancreatic function and diabetes
- Xenotransplantation and immune response
- Tissue Engineering and Regenerative Medicine
- Biological Psychiatry top 5%
Papers in
- Co-authors
- Massimo Trucco (46 shared papers)Rita Bottino (32 shared papers)Paul D. Robbins (11 shared papers)Appakaalai N. Balamurugan (7 shared papers)Angela Alexander (6 shared papers)Jon D. Piganelli (9 shared papers)Simon C. Watkins (5 shared papers)Jing He (9 shared papers)
- Journals
- Diabetes (9 papers)The Journal of Immunology (4 papers)Journal of Visualized Experiments (4 papers)Diabetologia (4 papers)Gene Therapy (3 papers)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Suzanne Bertera
73 papers receiving 3.9k citations
Suzanne Bertera's Hit Papers
Peers
Comparison fields: 5 of 99
- Surgery 2.2k
- Biological Psychiatry 55
- Immunology 512
- Genetics 721
- Transplantation 42
Countries citing papers authored by Suzanne Bertera
This map shows the geographic impact of Suzanne Bertera'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 Suzanne Bertera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne Bertera more than expected).
Fields of papers citing papers by Suzanne Bertera
This network shows the impact of papers produced by Suzanne Bertera. 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 Suzanne Bertera. The network helps show where Suzanne Bertera may publish in the future.
Co-authors
The 25 scholars most cited alongside Suzanne Bertera, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Production of α1,3-Galactosyltransferase-Deficient Pigs Hit paper breakdown → | 2003 | 943 |
| 2 | 2013 | 237 | |
| 3 | 2002 | 173 | |
| 4 | 2010 | 152 | |
| 5 | 2002 | 142 | |
| 6 | 2014 | 136 | |
| 7 | 2006 | 113 | |
| 8 | 2003 | 105 | |
| 9 | 2015 | 98 | |
| 10 | 2003 | 91 | |
| 11 | 2001 | 87 | |
| 12 | 2003 | 87 | |
| 13 | 2009 | 84 | |
| 14 | 2007 | 74 | |
| 15 | 2021 | 74 | |
| 16 | 2003 | 71 | |
| 17 | 1999 | 70 | |
| 18 | 2016 | 70 | |
| 19 | 2006 | 62 | |
| 20 | 2018 | 62 |
About Suzanne Bertera
Suzanne Bertera is a scholar working on Surgery, Genetics, Immunology, Biomaterials and Molecular Medicine, having authored 73 papers that have together received 4.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (37 papers), Diabetes and associated disorders (20 papers), T-cell and B-cell Immunology (8 papers), Xenotransplantation and immune response (7 papers), Tissue Engineering and Regenerative Medicine (5 papers), Supramolecular Self-Assembly in Materials (3 papers), Hydrogels: synthesis, properties, applications (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Surgery (2.2k citations), Biological Psychiatry (55 citations), Immunology (512 citations), Genetics (721 citations) and Transplantation (42 citations). Suzanne Bertera has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Massimo Trucco, Rita Bottino, Paul D. Robbins, Appakaalai N. Balamurugan, Angela Alexander, Jon D. Piganelli, Simon C. Watkins, Jing He, William A. Rudert and Megan L. Crawford. Their work appears in journals such as Diabetes, The Journal of Immunology, Journal of Visualized Experiments, Diabetologia and Gene Therapy.
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.