Suzanne Bertera
Impact in
- Biological Psychiatry top 2%
- Surgery top 1%
- Pancreatic function and diabetes
- Tissue Engineering and Regenerative Medicine
- Xenotransplantation and immune response
Papers in
- Co-authors
- Massimo Trucco (46 shared papers)Rita Bottino (30 shared papers)Paul D. Robbins (11 shared papers)Angela Alexander (9 shared papers)A. N. Balamurugan (6 shared papers)Jon D. Piganelli (11 shared papers)Simon C. Watkins (5 shared papers)William A. Rudert (9 shared papers)
- Journals
- Diabetes (9 papers)The Journal of Immunology (7 papers)Journal of Visualized Experiments (4 papers)Diabetologia (3 papers)Gene Therapy (3 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Suzanne Bertera
71 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 100
- Biological Psychiatry 137
- Surgery 1.5k
- Genetics 991
- Endocrinology, Diabetes and Metabolism 495
- Immunology 549
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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 212 | |
| 2 | 2002 | 173 | |
| 3 | 2010 | 147 | |
| 4 | 2002 | 137 | |
| 5 | 2014 | 123 | |
| 6 | 2006 | 111 | |
| 7 | 2003 | 102 | |
| 8 | 2015 | 93 | |
| 9 | 2003 | 91 | |
| 10 | 2003 | 86 | |
| 11 | 2001 | 82 | |
| 12 | 2009 | 80 | |
| 13 | 2003 | 71 | |
| 14 | 2021 | 70 | |
| 15 | 2007 | 67 | |
| 16 | 2016 | 66 | |
| 17 | 2006 | 61 | |
| 18 | 2010 | 58 | |
| 19 | 2007 | 55 | |
| 20 | 2018 | 54 |
About Suzanne Bertera
Suzanne Bertera is a scholar working on Surgery, Genetics, Immunology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 72 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (50 papers), Diabetes and associated disorders (31 papers), Diabetes Management and Research (13 papers), Immune Cell Function and Interaction (11 papers), Cannabis and Cannabinoid Research (10 papers), T-cell and B-cell Immunology (8 papers), Xenotransplantation and immune response (5 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Biological Psychiatry (137 citations), Surgery (1.5k citations), Genetics (991 citations), Endocrinology, Diabetes and Metabolism (495 citations) and Immunology (549 citations). Suzanne Bertera has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Massimo Trucco, Rita Bottino, Paul D. Robbins, Angela Alexander, A. N. Balamurugan, Jon D. Piganelli, Simon C. Watkins, William A. Rudert, Jing He and Megan 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.